From 10bef5c152644295af95cd4299bb3e63713a9503 Mon Sep 17 00:00:00 2001 From: zhouchengrong Date: Thu, 28 Mar 2024 10:29:04 +0800 Subject: [PATCH] =?UTF-8?q?attribute=20=E5=AD=97=E6=AE=B5=E5=90=8D?= =?UTF-8?q?=E8=A7=84=E8=8C=83?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Dockerfile | 22 - README.md | 45 - app/__init__.py | 0 app/api/__init__.py | 0 app/api/api_attribute.py | 19 - app/api/api_outfit_matcher.py | 47 - app/api/api_route.py | 13 - app/api/api_similar_match.py | 25 - app/api/api_test.py | 12 - app/core/__init__.py | 0 app/core/config.py | 49 - app/logs/errors.log | 1713 ----------------- app/main.py | 39 - app/schemas/attribute.py | 6 - app/schemas/outfit_matcher.py | 15 - app/schemas/similar_match.py | 6 - app/service/attribute_recognition/__init__.py | 0 app/service/attribute_recognition/const.py | 139 -- .../attribute_recognition/const_debug.py | 139 -- .../discriptor/bottom/2_bottom_subtype.csv | 21 - 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update -RUN apt install -y vim -RUN apt install -y libgl1-mesa-glx -COPY ./requirements.txt /requirements.txt -RUN pip install --upgrade pip -RUN pip install -r requirements.txt -RUN pip install gunicorn -RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 -RUN pip install mmcv==1.4.2 -f https://download.openmmlab.com/mmcv/dist/cu117/torch1.13/index.html - -WORKDIR /app -COPY . . -ENV FLASK_APP=manage.py -LABEL maintainer="zchengrong@yeah.net" \ - description="My Python 3.9 - trinity mixi " \ - version="1.0" \ - name="trinity_mixi" - - -CMD ["gunicorn", "-c", "gunicorn_config.py", "app.main:app"] \ No newline at end of file diff --git a/README.md b/README.md deleted file mode 100644 index ec77e43..0000000 --- a/README.md +++ /dev/null @@ -1,45 +0,0 @@ -文件解释 ------------ - -样例包括: - -* README.md - 本文件 -* Dockerfile - 用以自动构建 Docker 镜像的脚本 -* requirements.txt - 依赖包文件 -* main.py - 主 Flask 服务器端源代码 -* python-version : 3.9 - -快速开始 ---------------- - -如下这些引导，假定你想在自己的电脑上开发本项目。 - -1. 安装依赖 - - $ conda create -n trinity_client_mixi python=3.9 -y - $ conda activate trinity_client_mixi - $ pip install -r requirements.txt - $ conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia -y - $ pip install mmcv==1.4.2 -f https://download.openmmlab.com/mmcv/dist/cu117/torch1.13/index.html - - -2. 启动服务器 - - $ uvicorn app.main:app --host 0.0.0.0 --port 8000 - -3. 打开 http://127.0.0.1:8000/docs - -Docker 部署 ---------------- -1. 构建镜像 - - $ cd {workspace} - $ docker build -t trinity_client_mixi - -2. 使用docker-compose 启动 - - $ docker-compose up -d - -3. 查看日志 - - $ docker-compose logs -f \ No newline at end of file diff --git a/app/__init__.py b/app/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/app/api/__init__.py b/app/api/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/app/api/api_attribute.py b/app/api/api_attribute.py deleted file mode 100644 index 972ccd3..0000000 --- a/app/api/api_attribute.py +++ /dev/null @@ -1,19 +0,0 @@ -import logging -from pprint import pprint - -from fastapi import APIRouter - -from app.schemas.attribute import AttributeModel -from app.service.attribute_recognition import const, const_debug -from app.service.attribute_recognition.service import AttributeRecognition - -logger = logging.getLogger() -router = APIRouter() - - -@router.post("") -def attribute(request_data: AttributeModel): - service = AttributeRecognition() - response = service.attribute(const, request_data) - logger.info("test") - return {"code": 200, "message": "ok", "data": response} diff --git a/app/api/api_outfit_matcher.py b/app/api/api_outfit_matcher.py deleted file mode 100644 index 24a6337..0000000 --- a/app/api/api_outfit_matcher.py +++ /dev/null @@ -1,47 +0,0 @@ -import logging -import time - -from fastapi import APIRouter -from app.schemas.outfit_matcher import OutfitMatcher -from app.service.outfit_matcher.dataset import FashionDataset -from app.service.outfit_matcher.outfit_evaluator import OutfitMaterTypeAware -from app.service.utils.decorator import RunTime - -logger = logging.getLogger() -router = APIRouter() - - -@RunTime -@router.post("outfit_matcher") -def outfit_matcher(request_item: OutfitMatcher): - request_item = dict(request_item) - for i in range(len(request_item['query'])): - request_item['query'][i] = dict(request_item['query'][i]) - for i in range(len(request_item['database'])): - request_item['database'][i] = dict(request_item['database'][i]) - - # try: - fashion_dataset = FashionDataset(request_item['database']) - service = OutfitMaterTypeAware() - result = [] - start_time = time.time() - for item in request_item['query']: - outfits = fashion_dataset.generate_outfit(item, request_item["topk"], request_item["max_outfits"]) - scores, features = service.get_result(outfits) - # save features in databases - - if request_item['is_best']: - best_outfits, best_scores = service.visualize(outfits, scores, request_item["topk"], best=True, - # output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_best_{param['topk']}.png") - ) - result.append({"outfits": best_outfits, "scores": best_scores}) - else: - bad_outfits, bad_scores = service.visualize(outfits, scores, request_item["topk"], best=False, - # output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_worst_{param['topk']}.png") - ) - result.append({"outfits": bad_outfits, "scores": bad_scores}) - logger.info(f"run time is : {time.time() - start_time}") - return {"message": "ok", "data": result} - # except Exception as e: - # logger.warning(e) - # return {"message": f"{e}", "data": e} \ No newline at end of file diff --git a/app/api/api_route.py b/app/api/api_route.py deleted file mode 100644 index 983e725..0000000 --- a/app/api/api_route.py +++ /dev/null @@ -1,13 +0,0 @@ -from fastapi import APIRouter - -from app.api import api_test -from app.api import api_outfit_matcher -from app.api import api_attribute -from app.api import api_similar_match - -router = APIRouter() - -router.include_router(api_test.router, tags=["test"], prefix="/test") -router.include_router(api_outfit_matcher.router, tags=["outfit_matcher"], prefix="/api/outfit_matcher") -router.include_router(api_attribute.router, tags=["attribute"], prefix="/api/attribute") -router.include_router(api_similar_match.router, tags=["similar_match"], prefix="/api/similar_match") diff --git a/app/api/api_similar_match.py b/app/api/api_similar_match.py deleted file mode 100644 index 1a49e7b..0000000 --- a/app/api/api_similar_match.py +++ /dev/null @@ -1,25 +0,0 @@ -import logging -import time - -from fastapi import APIRouter - -from app.schemas.similar_match import SimilarMatchMItem -from app.service.similar_match.service import SimilarMatch -from app.service.utils.decorator import RunTime - -logger = logging.getLogger() -router = APIRouter() - - -@RunTime -@router.post("similar_match") -def similar_match(request_item: SimilarMatchMItem): - try: - if request_item.result_number <= 0: - raise KeyError("result number can't be less than 0") - service = SimilarMatch(request_item) - search_response = service.match_features() - return {"message": "ok", "data": search_response} - except KeyError as e: - logger.warning(str(e)) - return {"message": "result number can't be less than 0", "data": []} diff --git a/app/api/api_test.py b/app/api/api_test.py deleted file mode 100644 index b47dca5..0000000 --- a/app/api/api_test.py +++ /dev/null @@ -1,12 +0,0 @@ -import logging - -from fastapi import APIRouter - -logger = logging.getLogger() -router = APIRouter() - - -@router.get("") -def test(): - logger.info("test") - return {"message": "ok"} diff --git a/app/core/__init__.py b/app/core/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/app/core/config.py b/app/core/config.py deleted file mode 100644 index f4b7583..0000000 --- a/app/core/config.py +++ /dev/null @@ -1,49 +0,0 @@ -import logging -import os -from dotenv import load_dotenv -from pydantic import BaseSettings - -BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '../../')) -logging.info(f"BASE_DIR : {BASE_DIR}") -load_dotenv(os.path.join(BASE_DIR, '.env')) - - -class Settings(BaseSettings): - PROJECT_NAME = os.getenv('PROJECT_NAME', 'FASTAPI BASE') - SECRET_KEY = os.getenv('SECRET_KEY', '') - API_PREFIX = '' - BACKEND_CORS_ORIGINS = ['*'] - DATABASE_URL = os.getenv('SQL_DATABASE_URL', '') - ACCESS_TOKEN_EXPIRE_SECONDS: int = 60 * 60 * 24 * 7 # Token expired after 7 days - SECURITY_ALGORITHM = 'HS256' - LOGGING_CONFIG_FILE = os.path.join(BASE_DIR, 'logging_env.py') - - -settings = Settings() - -MINIO_IP = "18.167.251.121" -MINIO_PORT = 8000 -MINIO_SECURE = False -MINIO_ACCESS = "e8zc55mzDOh4IzRrZ9Oa" -MINIO_SECRET = "uHfqJ7UkwA1PTDGfnA44Hp9ux5YkZTkzZLjeOYhE" - -OM_TRITON_IP = "10.1.1.240" -OM_TRITON_PORT = "10010" - -ATT_TRITON_IP = "10.1.1.240" -ATT_TRITON_PORT = "10020" - -# service env -LOGS_PATH = "app/logs/errors.log" -FASHION_CATEGORIES = "app/service/outfit_matcher/config/fashion_categories.json" -FASHION_CATEGORIES_MAPPING = "app/service/outfit_matcher/config/fashion_category_mapping.json" - -# pycharm debug -# LOGS_PATH = "logs/errors.log" -# FASHION_CATEGORIES = "service/outfit_matcher/config/fashion_categories.json" -# FASHION_CATEGORIES_MAPPING = "service/outfit_matcher/config/fashion_category_mapping.json" - - -# LOGS_PATH = "app/logs/errors.log" -# FASHION_CATEGORIES = "./config/fashion_categories.json" -# FASHION_CATEGORIES_MAPPING = "./config/fashion_category_mapping.json" \ No newline at end of file diff --git a/app/logs/errors.log b/app/logs/errors.log deleted file mode 100644 index 9740bb1..0000000 --- a/app/logs/errors.log +++ /dev/null @@ -1,1713 +0,0 @@ -2024-03-25 17:26:03,804 decorator.py [line:11] INFO function：【load_image】,runtime：【0.13544344902038574】s -2024-03-25 17:26:03,804 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function：【load_image】,runtime：【0.058481454849243164】s -2024-03-27 13:31:56,186 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06927204132080078】s -2024-03-27 13:31:56,186 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06927204132080078】s -2024-03-27 13:31:56,279 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0771634578704834】s -2024-03-27 13:31:56,279 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0771634578704834】s -2024-03-27 13:31:56,372 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07645511627197266】s -2024-03-27 13:31:56,372 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07645511627197266】s -2024-03-27 13:31:56,460 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0690762996673584】s -2024-03-27 13:31:56,460 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0690762996673584】s -2024-03-27 13:31:56,542 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06473708152770996】s -2024-03-27 13:31:56,542 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06473708152770996】s -2024-03-27 13:31:56,631 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07141780853271484】s -2024-03-27 13:31:56,631 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07141780853271484】s -2024-03-27 13:31:56,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057878732681274414】s -2024-03-27 13:31:56,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057878732681274414】s -2024-03-27 13:31:56,767 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 13:31:56,767 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 13:32:15,772 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12557196617126465】s -2024-03-27 13:32:15,772 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12557196617126465】s -2024-03-27 13:32:15,867 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0776052474975586】s -2024-03-27 13:32:15,867 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0776052474975586】s -2024-03-27 13:32:36,283 decorator.py [line:11] INFO function：【get_result】,runtime：【19.695392847061157】s -2024-03-27 13:32:36,283 decorator.py [line:11] INFO function：【get_result】,runtime：【19.695392847061157】s -2024-03-27 13:32:39,885 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10496735572814941】s -2024-03-27 13:32:39,885 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10496735572814941】s -2024-03-27 13:32:39,961 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0580439567565918】s -2024-03-27 13:32:39,961 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0580439567565918】s -2024-03-27 13:32:40,049 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07145905494689941】s -2024-03-27 13:32:40,049 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07145905494689941】s -2024-03-27 13:32:40,128 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06016206741333008】s -2024-03-27 13:32:40,128 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06016206741333008】s -2024-03-27 13:32:40,217 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07137513160705566】s -2024-03-27 13:32:40,217 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07137513160705566】s -2024-03-27 13:32:40,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06730365753173828】s -2024-03-27 13:32:40,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06730365753173828】s -2024-03-27 13:32:40,391 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07237100601196289】s -2024-03-27 13:32:40,391 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07237100601196289】s -2024-03-27 13:32:40,467 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05928659439086914】s -2024-03-27 13:32:40,467 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05928659439086914】s -2024-03-27 13:32:40,555 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07037734985351562】s -2024-03-27 13:32:40,555 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07037734985351562】s -2024-03-27 13:32:40,630 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05862092971801758】s -2024-03-27 13:32:40,630 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05862092971801758】s -2024-03-27 13:32:40,714 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06795549392700195】s -2024-03-27 13:32:40,714 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06795549392700195】s -2024-03-27 13:32:59,944 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 13:32:59,944 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 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[line:11] INFO function：【load_image】,runtime：【0.06654644012451172】s -2024-03-27 13:34:47,260 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): -RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 - -2024-03-27 13:34:47,260 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): -RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 - -2024-03-27 13:54:49,395 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14566850662231445】s -2024-03-27 13:54:49,395 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14566850662231445】s -2024-03-27 13:54:49,502 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08782744407653809】s -2024-03-27 13:54:49,502 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08782744407653809】s -2024-03-27 13:54:49,597 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07923293113708496】s -2024-03-27 13:54:49,597 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07923293113708496】s -2024-03-27 13:54:49,695 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07961916923522949】s -2024-03-27 13:54:49,695 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07961916923522949】s -2024-03-27 13:54:49,795 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0831143856048584】s -2024-03-27 13:54:49,795 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0831143856048584】s -2024-03-27 13:54:59,153 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): -RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 - -2024-03-27 13:54:59,153 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript, serialized code (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) - -Traceback of TorchScript, original code (most recent call last): -D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module -C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch -D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main -C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): -RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 - -2024-03-27 13:58:20,340 decorator.py [line:11] INFO function：【load_image】,runtime：【0.1419973373413086】s -2024-03-27 13:58:20,340 decorator.py [line:11] INFO function：【load_image】,runtime：【0.1419973373413086】s -2024-03-27 13:58:20,442 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08225560188293457】s -2024-03-27 13:58:20,442 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08225560188293457】s -2024-03-27 13:58:22,899 decorator.py [line:11] INFO function：【get_result】,runtime：【2.701899528503418】s -2024-03-27 13:58:22,899 decorator.py [line:11] INFO function：【get_result】,runtime：【2.701899528503418】s -2024-03-27 13:58:27,827 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09511446952819824】s -2024-03-27 13:58:27,827 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09511446952819824】s -2024-03-27 13:58:27,920 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0761256217956543】s -2024-03-27 13:58:27,920 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0761256217956543】s -2024-03-27 13:58:28,015 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0797882080078125】s -2024-03-27 13:58:28,015 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0797882080078125】s -2024-03-27 13:58:28,102 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0706169605255127】s -2024-03-27 13:58:28,102 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0706169605255127】s -2024-03-27 13:58:28,203 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0837099552154541】s -2024-03-27 13:58:28,203 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0837099552154541】s -2024-03-27 13:58:28,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058257102966308594】s -2024-03-27 13:58:28,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058257102966308594】s -2024-03-27 13:58:28,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07945060729980469】s -2024-03-27 13:58:28,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07945060729980469】s -2024-03-27 13:58:28,449 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05907869338989258】s -2024-03-27 13:58:28,449 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05907869338989258】s -2024-03-27 13:58:28,535 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06852412223815918】s -2024-03-27 13:58:28,535 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06852412223815918】s -2024-03-27 13:58:28,612 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059185028076171875】s -2024-03-27 13:58:28,612 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059185028076171875】s -2024-03-27 13:58:28,696 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06656241416931152】s -2024-03-27 13:58:28,696 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06656241416931152】s -2024-03-27 13:58:30,848 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 13:58:30,848 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 13:58:44,145 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10509109497070312】s -2024-03-27 13:58:44,145 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10509109497070312】s -2024-03-27 13:58:44,241 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07898759841918945】s -2024-03-27 13:58:44,241 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07898759841918945】s -2024-03-27 13:58:44,275 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2351522445678711】s -2024-03-27 13:58:44,275 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2351522445678711】s -2024-03-27 13:58:45,574 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14697742462158203】s -2024-03-27 13:58:45,574 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14697742462158203】s -2024-03-27 13:58:45,679 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08646893501281738】s -2024-03-27 13:58:45,679 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08646893501281738】s -2024-03-27 13:58:45,773 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0773007869720459】s -2024-03-27 13:58:45,773 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0773007869720459】s -2024-03-27 13:58:45,859 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06799125671386719】s -2024-03-27 13:58:45,859 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06799125671386719】s -2024-03-27 13:58:45,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07116031646728516】s -2024-03-27 13:58:45,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07116031646728516】s -2024-03-27 13:58:46,042 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07659769058227539】s -2024-03-27 13:58:46,042 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07659769058227539】s -2024-03-27 13:58:46,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06028294563293457】s -2024-03-27 13:58:46,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06028294563293457】s -2024-03-27 13:58:46,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07743430137634277】s -2024-03-27 13:58:46,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07743430137634277】s -2024-03-27 13:58:46,288 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057299137115478516】s -2024-03-27 13:58:46,288 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057299137115478516】s -2024-03-27 13:58:46,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06985664367675781】s -2024-03-27 13:58:46,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06985664367675781】s -2024-03-27 13:58:46,461 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07092571258544922】s -2024-03-27 13:58:46,461 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07092571258544922】s -2024-03-27 13:58:46,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.055513620376586914】s -2024-03-27 13:58:46,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.055513620376586914】s -2024-03-27 13:58:46,591 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 - -2024-03-27 13:58:46,591 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 - -2024-03-27 13:58:57,964 api_outfit_matcher.py [line:46] WARNING 'tops' -2024-03-27 13:58:57,964 api_outfit_matcher.py [line:46] WARNING 'tops' -2024-03-27 13:59:03,013 api_outfit_matcher.py [line:46] WARNING 'tops' -2024-03-27 13:59:03,013 api_outfit_matcher.py [line:46] WARNING 'tops' -2024-03-27 13:59:37,401 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16234040260314941】s -2024-03-27 13:59:37,401 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16234040260314941】s -2024-03-27 13:59:37,529 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11061978340148926】s -2024-03-27 13:59:37,529 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11061978340148926】s -2024-03-27 13:59:37,578 decorator.py [line:11] INFO function：【get_result】,runtime：【0.3390374183654785】s -2024-03-27 13:59:37,578 decorator.py [line:11] INFO function：【get_result】,runtime：【0.3390374183654785】s -2024-03-27 13:59:37,579 api_outfit_matcher.py [line:43] INFO run time is : 4.3606555461883545 -2024-03-27 13:59:37,579 api_outfit_matcher.py [line:43] INFO run time is : 4.3606555461883545 -2024-03-27 13:59:53,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12405610084533691】s -2024-03-27 13:59:53,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12405610084533691】s -2024-03-27 13:59:53,614 decorator.py [line:11] INFO function：【load_image】,runtime：【0.062774658203125】s -2024-03-27 13:59:53,614 decorator.py [line:11] INFO function：【load_image】,runtime：【0.062774658203125】s -2024-03-27 13:59:53,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07370877265930176】s -2024-03-27 13:59:53,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07370877265930176】s -2024-03-27 13:59:53,782 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058119773864746094】s -2024-03-27 13:59:53,782 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058119773864746094】s -2024-03-27 13:59:53,884 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08421730995178223】s -2024-03-27 13:59:53,884 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08421730995178223】s -2024-03-27 13:59:53,959 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05769848823547363】s -2024-03-27 13:59:53,959 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05769848823547363】s -2024-03-27 13:59:54,047 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07019829750061035】s -2024-03-27 13:59:54,047 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07019829750061035】s -2024-03-27 13:59:54,136 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07048344612121582】s -2024-03-27 13:59:54,136 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07048344612121582】s -2024-03-27 13:59:54,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05997824668884277】s -2024-03-27 13:59:54,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05997824668884277】s -2024-03-27 13:59:54,303 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07163858413696289】s -2024-03-27 13:59:54,303 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07163858413696289】s -2024-03-27 13:59:54,386 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06445097923278809】s -2024-03-27 13:59:54,386 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06445097923278809】s -2024-03-27 13:59:54,440 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 13:59:54,440 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 14:00:04,040 decorator.py [line:11] INFO function：【load_image】,runtime：【0.15560507774353027】s -2024-03-27 14:00:04,040 decorator.py [line:11] INFO function：【load_image】,runtime：【0.15560507774353027】s -2024-03-27 14:00:04,168 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10945677757263184】s -2024-03-27 14:00:04,168 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10945677757263184】s -2024-03-27 14:00:04,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11451935768127441】s -2024-03-27 14:00:04,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11451935768127441】s -2024-03-27 14:00:04,403 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105683326721191】s -2024-03-27 14:00:04,403 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105683326721191】s -2024-03-27 14:00:04,556 decorator.py [line:11] INFO function：【load_image】,runtime：【0.13525652885437012】s -2024-03-27 14:00:04,556 decorator.py [line:11] INFO function：【load_image】,runtime：【0.13525652885437012】s -2024-03-27 14:00:04,677 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10164761543273926】s -2024-03-27 14:00:04,677 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10164761543273926】s -2024-03-27 14:00:04,806 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11051678657531738】s -2024-03-27 14:00:04,806 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11051678657531738】s -2024-03-27 14:00:04,939 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11425638198852539】s -2024-03-27 14:00:04,939 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11425638198852539】s -2024-03-27 14:00:05,050 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09280538558959961】s -2024-03-27 14:00:05,050 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09280538558959961】s -2024-03-27 14:00:05,179 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11007046699523926】s -2024-03-27 14:00:05,179 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11007046699523926】s -2024-03-27 14:00:05,287 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09088277816772461】s -2024-03-27 14:00:05,287 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09088277816772461】s -2024-03-27 14:00:05,397 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0912470817565918】s -2024-03-27 14:00:05,397 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0912470817565918】s -2024-03-27 14:00:05,449 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 - -2024-03-27 14:00:05,449 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 - -2024-03-27 14:00:24,103 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12218999862670898】s -2024-03-27 14:00:24,103 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12218999862670898】s -2024-03-27 14:00:24,206 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08275294303894043】s -2024-03-27 14:00:24,206 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08275294303894043】s -2024-03-27 14:00:24,257 decorator.py [line:11] INFO function：【get_result】,runtime：【0.27626585960388184】s -2024-03-27 14:00:24,257 decorator.py [line:11] INFO function：【get_result】,runtime：【0.27626585960388184】s -2024-03-27 14:00:27,384 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08464622497558594】s -2024-03-27 14:00:27,384 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08464622497558594】s -2024-03-27 14:00:27,483 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08122897148132324】s -2024-03-27 14:00:27,483 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08122897148132324】s -2024-03-27 14:00:27,514 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21431875228881836】s -2024-03-27 14:00:27,514 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21431875228881836】s -2024-03-27 14:00:28,238 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06983208656311035】s -2024-03-27 14:00:28,238 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06983208656311035】s -2024-03-27 14:00:28,339 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08301925659179688】s -2024-03-27 14:00:28,339 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08301925659179688】s -2024-03-27 14:00:28,372 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2040712833404541】s -2024-03-27 14:00:28,372 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2040712833404541】s -2024-03-27 14:00:29,044 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105134963989258】s -2024-03-27 14:00:29,044 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105134963989258】s -2024-03-27 14:00:29,150 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08832597732543945】s -2024-03-27 14:00:29,150 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08832597732543945】s -2024-03-27 14:00:29,180 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21682119369506836】s -2024-03-27 14:00:29,180 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21682119369506836】s -2024-03-27 14:00:29,839 decorator.py [line:11] INFO 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14:00:48,351 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08505105972290039】s -2024-03-27 14:00:48,351 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08505105972290039】s -2024-03-27 14:00:48,455 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08607959747314453】s -2024-03-27 14:00:48,455 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08607959747314453】s -2024-03-27 14:00:48,560 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08723664283752441】s -2024-03-27 14:00:48,560 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08723664283752441】s -2024-03-27 14:00:48,655 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07823681831359863】s -2024-03-27 14:00:48,655 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07823681831359863】s -2024-03-27 14:00:48,790 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11772513389587402】s -2024-03-27 14:00:48,790 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11772513389587402】s -2024-03-27 14:00:48,902 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0930490493774414】s -2024-03-27 14:00:48,902 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0930490493774414】s -2024-03-27 14:00:49,027 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10860133171081543】s -2024-03-27 14:00:49,027 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10860133171081543】s -2024-03-27 14:00:49,122 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07420182228088379】s -2024-03-27 14:00:49,122 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07420182228088379】s -2024-03-27 14:00:49,187 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 14:00:49,187 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 - -2024-03-27 14:01:02,099 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16933894157409668】s -2024-03-27 14:01:02,099 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16933894157409668】s -2024-03-27 14:01:02,194 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07816171646118164】s -2024-03-27 14:01:02,194 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07816171646118164】s -2024-03-27 14:01:02,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08951163291931152】s -2024-03-27 14:01:02,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08951163291931152】s -2024-03-27 14:01:02,407 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0887606143951416】s -2024-03-27 14:01:02,407 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0887606143951416】s -2024-03-27 14:01:02,509 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08620452880859375】s -2024-03-27 14:01:02,509 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08620452880859375】s -2024-03-27 14:01:02,599 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07243728637695312】s -2024-03-27 14:01:02,599 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07243728637695312】s -2024-03-27 14:01:02,698 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08305978775024414】s -2024-03-27 14:01:02,698 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08305978775024414】s -2024-03-27 14:01:02,786 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0703268051147461】s -2024-03-27 14:01:02,786 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0703268051147461】s -2024-03-27 14:01:02,870 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06625247001647949】s -2024-03-27 14:01:02,870 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06625247001647949】s -2024-03-27 14:01:02,958 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07140207290649414】s -2024-03-27 14:01:02,958 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07140207290649414】s -2024-03-27 14:01:03,031 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05882072448730469】s -2024-03-27 14:01:03,031 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05882072448730469】s -2024-03-27 14:01:03,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07142138481140137】s -2024-03-27 14:01:03,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07142138481140137】s -2024-03-27 14:01:03,193 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05618572235107422】s -2024-03-27 14:01:03,193 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05618572235107422】s -2024-03-27 14:01:03,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06607556343078613】s -2024-03-27 14:01:03,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06607556343078613】s -2024-03-27 14:01:03,335 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[6, 3, -1]' is invalid for input of size 896 - -2024-03-27 14:01:03,335 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. -Traceback of TorchScript (most recent call last): - File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward - _4505 = int(_4504) - _4506 = ops.prim.NumToTensor(torch.size(images, 1)) - _4507 = torch.view(_1, [_4505, int(_4506), -1]) - ~~~~~~~~~~ <--- HERE - _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) - _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) -RuntimeError: shape '[6, 3, -1]' is invalid for input of size 896 - -2024-03-27 14:02:22,476 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12627029418945312】s -2024-03-27 14:02:22,476 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12627029418945312】s -2024-03-27 14:02:22,586 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09139084815979004】s -2024-03-27 14:02:22,586 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09139084815979004】s -2024-03-27 14:02:22,658 decorator.py [line:11] INFO function：【get_result】,runtime：【0.30730652809143066】s -2024-03-27 14:02:22,658 decorator.py [line:11] INFO function：【get_result】,runtime：【0.30730652809143066】s -2024-03-27 14:02:22,658 api_outfit_matcher.py [line:43] INFO run time is : 0.30835771560668945 -2024-03-27 14:02:22,658 api_outfit_matcher.py [line:43] INFO run time is : 0.30835771560668945 -2024-03-27 14:02:35,439 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:02:35,439 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:02:39,781 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:02:39,781 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:02:51,401 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:02:51,401 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:04:04,097 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:04:04,097 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:04:06,307 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:04:06,307 api_outfit_matcher.py [line:46] WARNING 'bottoms' -2024-03-27 14:04:28,865 api_outfit_matcher.py [line:46] WARNING 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14:22:08,525 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08597993850708008】s -2024-03-27 14:22:08,525 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08597993850708008】s -2024-03-27 14:22:08,625 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08390545845031738】s -2024-03-27 14:22:08,625 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08390545845031738】s -2024-03-27 14:22:08,727 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08538031578063965】s -2024-03-27 14:22:08,727 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08538031578063965】s -2024-03-27 14:22:08,805 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059221506118774414】s -2024-03-27 14:22:08,805 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059221506118774414】s -2024-03-27 14:22:08,892 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06974506378173828】s -2024-03-27 14:22:08,892 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06974506378173828】s -2024-03-27 14:22:08,982 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07265496253967285】s -2024-03-27 14:22:08,982 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07265496253967285】s -2024-03-27 14:22:09,056 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05707836151123047】s -2024-03-27 14:22:09,056 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05707836151123047】s -2024-03-27 14:22:09,146 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07120347023010254】s -2024-03-27 14:22:09,146 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07120347023010254】s -2024-03-27 14:22:09,230 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06669831275939941】s -2024-03-27 14:22:09,230 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06669831275939941】s -2024-03-27 14:26:41,041 decorator.py [line:11] INFO function：【load_image】,runtime：【300.03149700164795】s -2024-03-27 14:26:41,041 decorator.py [line:11] INFO function：【load_image】,runtime：【300.03149700164795】s -2024-03-27 15:10:21,691 api_attribute.py [line:17] INFO test -2024-03-27 15:10:21,691 api_attribute.py [line:17] INFO test -2024-03-27 15:19:50,431 api_attribute.py [line:17] INFO test -2024-03-27 15:19:50,431 api_attribute.py [line:17] INFO test -2024-03-27 15:20:48,998 api_attribute.py [line:18] INFO test -2024-03-27 15:20:48,998 api_attribute.py [line:18] INFO test -2024-03-27 15:24:37,184 api_attribute.py [line:18] INFO test -2024-03-27 15:24:37,184 api_attribute.py [line:18] INFO test -2024-03-27 15:50:48,918 api_attribute.py [line:18] INFO test -2024-03-27 15:50:48,918 api_attribute.py [line:18] INFO test -2024-03-27 15:53:25,057 api_attribute.py [line:18] INFO test -2024-03-27 15:53:25,057 api_attribute.py [line:18] INFO test -2024-03-27 16:01:53,943 api_attribute.py [line:18] INFO test -2024-03-27 16:01:53,943 api_attribute.py [line:18] INFO test -2024-03-27 16:23:31,085 api_attribute.py [line:18] INFO test -2024-03-27 16:23:31,085 api_attribute.py [line:18] INFO test -2024-03-27 16:59:17,028 decorator.py [line:11] INFO function：【load_image】,runtime：【372.1579358577728】s -2024-03-27 16:59:17,028 decorator.py [line:11] INFO function：【load_image】,runtime：【372.1579358577728】s -2024-03-27 16:59:28,246 decorator.py [line:11] INFO function：【load_image】,runtime：【4.365650177001953】s -2024-03-27 16:59:28,246 decorator.py [line:11] INFO function：【load_image】,runtime：【4.365650177001953】s -2024-03-27 16:59:35,344 decorator.py [line:11] INFO function：【load_image】,runtime：【1.5201640129089355】s -2024-03-27 16:59:35,344 decorator.py [line:11] INFO function：【load_image】,runtime：【1.5201640129089355】s -2024-03-27 16:59:36,538 decorator.py [line:11] INFO function：【load_image】,runtime：【1.1855032444000244】s -2024-03-27 16:59:36,538 decorator.py [line:11] INFO function：【load_image】,runtime：【1.1855032444000244】s -2024-03-27 16:59:38,242 decorator.py [line:11] INFO function：【get_result】,runtime：【4.41891622543335】s -2024-03-27 16:59:38,242 decorator.py [line:11] INFO function：【get_result】,runtime：【4.41891622543335】s -2024-03-27 16:59:38,244 api_outfit_matcher.py [line:43] INFO run time is : 4.420928478240967 -2024-03-27 16:59:38,244 api_outfit_matcher.py [line:43] INFO run time is : 4.420928478240967 -2024-03-27 17:05:01,804 decorator.py [line:11] INFO function：【load_image】,runtime：【251.81508135795593】s -2024-03-27 17:05:01,804 decorator.py [line:11] INFO function：【load_image】,runtime：【251.81508135795593】s -2024-03-27 17:05:02,568 decorator.py [line:11] INFO function：【load_image】,runtime：【0.7592649459838867】s -2024-03-27 17:05:02,568 decorator.py [line:11] INFO function：【load_image】,runtime：【0.7592649459838867】s -2024-03-27 17:05:02,615 decorator.py [line:11] INFO function：【get_result】,runtime：【252.62576150894165】s -2024-03-27 17:05:02,615 decorator.py [line:11] INFO function：【get_result】,runtime：【252.62576150894165】s -2024-03-27 17:05:02,616 api_outfit_matcher.py [line:43] INFO run time is : 252.62676739692688 -2024-03-27 17:05:02,616 api_outfit_matcher.py [line:43] INFO run time is : 252.62676739692688 -2024-03-27 18:01:01,985 milvus_client.py [line:641] DEBUG Created new connection using: 704a3f1ccb564a0ea5281250a8583db5 -2024-03-27 18:01:01,985 decorators.py [line:146] ERROR RPC error: [search], , -2024-03-27 18:01:01,985 decorators.py [line:146] ERROR RPC error: [search], , -2024-03-27 18:01:01,985 decorators.py [line:146] ERROR RPC error: [search], , -2024-03-27 18:01:01,987 milvus_client.py [line:318] ERROR Failed to search collection: mixi_outfit -2024-03-27 18:01:01,987 milvus_client.py [line:318] ERROR Failed to search collection: mixi_outfit -2024-03-27 18:01:01,987 milvus_client.py [line:318] ERROR Failed to search collection: mixi_outfit -2024-03-27 18:01:08,508 milvus_client.py [line:641] DEBUG Created new connection using: ca5adf3ff3e34da0ae3f93c1669501ba -2024-03-27 18:01:08,708 decorator.py [line:11] INFO function：【match_features】,runtime：【0.21055293083190918】s -2024-03-27 18:01:08,708 decorator.py [line:11] INFO function：【match_features】,runtime：【0.21055293083190918】s -2024-03-27 18:03:26,541 milvus_client.py [line:641] DEBUG Created new connection using: 624da64059d34937a6ee6bc1ada3cc2d -2024-03-27 18:03:26,747 decorator.py [line:11] INFO function：【match_features】,runtime：【0.22229576110839844】s -2024-03-27 18:03:26,747 decorator.py [line:11] INFO function：【match_features】,runtime：【0.22229576110839844】s -2024-03-27 18:08:31,893 api_similar_match.py [line:24] WARNING "result number can't be less than 0" -2024-03-27 18:08:31,893 api_similar_match.py [line:24] WARNING "result number can't be less than 0" diff --git a/app/main.py b/app/main.py deleted file mode 100644 index d20a72f..0000000 --- a/app/main.py +++ /dev/null @@ -1,39 +0,0 @@ -import uvicorn -from fastapi import FastAPI - -import logging.config - -from app.api.api_route import router -from app.core.config import settings - -from logging_env import LOGGER_CONFIG_DICT - -logging.config.dictConfig(LOGGER_CONFIG_DICT) - -from starlette.middleware.cors import CORSMiddleware - - -def get_application() -> FastAPI: - application = FastAPI( - title=settings.PROJECT_NAME, docs_url="/docs", redoc_url='/re-docs', - openapi_url=f"{settings.API_PREFIX}/openapi.json", - description=''' - Base frame with FastAPI - - out_matcher_hon API - - ''' - ) - application.add_middleware( - CORSMiddleware, - allow_origins=[str(origin) for origin in settings.BACKEND_CORS_ORIGINS], - allow_credentials=True, - allow_methods=["*"], - allow_headers=["*"], - ) - application.include_router(router=router, prefix=settings.API_PREFIX) - return application - - -app = get_application() -if __name__ == '__main__': - uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/app/schemas/attribute.py b/app/schemas/attribute.py deleted file mode 100644 index bc9af8e..0000000 --- a/app/schemas/attribute.py +++ /dev/null @@ -1,6 +0,0 @@ -from pydantic import BaseModel - - -class AttributeModel(BaseModel): - upload_img_path: list - upload_img_id: list diff --git a/app/schemas/outfit_matcher.py b/app/schemas/outfit_matcher.py deleted file mode 100644 index ae265b6..0000000 --- a/app/schemas/outfit_matcher.py +++ /dev/null @@ -1,15 +0,0 @@ -from pydantic import BaseModel - - -class OMDataItem(BaseModel): - item_name: str - semantic_category: str - image_path: str - - -class OutfitMatcher(BaseModel): - topk: int - max_outfits: int - is_best: bool - query: list[OMDataItem] - database: list[OMDataItem] diff --git a/app/schemas/similar_match.py b/app/schemas/similar_match.py deleted file mode 100644 index e5fb063..0000000 --- a/app/schemas/similar_match.py +++ /dev/null @@ -1,6 +0,0 @@ -from pydantic import BaseModel - - -class SimilarMatchMItem(BaseModel): - image_path: str - result_number: int diff --git a/app/service/attribute_recognition/__init__.py b/app/service/attribute_recognition/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/app/service/attribute_recognition/const.py b/app/service/attribute_recognition/const.py deleted file mode 100644 index dc17294..0000000 --- a/app/service/attribute_recognition/const.py +++ /dev/null @@ -1,139 +0,0 @@ -import torch - -device = torch.device('cuda') -top_discription_list = ['app/service/attribute_recognition/discriptor/top/1_top_length.csv', - 'app/service/attribute_recognition/discriptor/top/2_top_type.csv', - 'app/service/attribute_recognition/discriptor/top/3_top_Sleeve_length.csv', - 'app/service/attribute_recognition/discriptor/top/4_top_Sleeve_shape.csv', - 'app/service/attribute_recognition/discriptor/top/5_top_Sleeve_shoulder.csv', - 'app/service/attribute_recognition/discriptor/top/6_top_Neckline.csv', - 'app/service/attribute_recognition/discriptor/top/7_outer_Print.csv', - 'app/service/attribute_recognition/discriptor/top/8_outer_Material.csv', - # 'app/service/attribute_recognition/discriptor/top/9_top_Material.csv', - 'app/service/attribute_recognition/discriptor/top/9_top_Softness.csv', - 'app/service/attribute_recognition/discriptor/top/10_top_Design.csv', - 'app/service/attribute_recognition/discriptor/top/11_top_OPType.csv', - 'app/service/attribute_recognition/discriptor/top/12_top_Silhouette.csv', - 'app/service/attribute_recognition/discriptor/top/7_top_Collar.csv'] - -top_model_list = ['top_length', - 'top_type', - 'top_Sleeve_length', - 'top_Sleeve_shape', - 'top_Sleeve_shoulder', - 'top_Neckline', - 'top_print', - 'top_material', - 'top_Softness', - 'top_Design', - 'top_optype', - 'top_Silhouette', - 'top_Collar' - ] - -bottom_discription_list = [ - 'app/service/attribute_recognition/discriptor/bottom/2_bottom_subtype.csv', - # 'app/service/attribute_recognition/discriptor/bottom/3_bottom_structure.csv', - 'app/service/attribute_recognition/discriptor/bottom/3_bottom_length.csv', - 'app/service/attribute_recognition/discriptor/bottom/7_outer_Print.csv', - 'app/service/attribute_recognition/discriptor/bottom/8_outer_Material.csv', - 'app/service/attribute_recognition/discriptor/bottom/5_bottom_Softness.csv', - 'app/service/attribute_recognition/discriptor/bottom/8_bottom_Silhouette.csv', - 'app/service/attribute_recognition/discriptor/bottom/7_bottom_OPType.csv', - 'app/service/attribute_recognition/discriptor/bottom/6_bottom_Design.csv'] - -bottom_model_list = [ - 'bottom_sub-Type', - 'bottom_length', - 'bottom_print', - 'bottom_material', - 'bottom_Softness_B', - 'bottom_Silhouette_B', - 'bottom_OPType_B', - 'bottom_design'] - -outwear_discription_list = ['app/service/attribute_recognition/discriptor/outwear/1_outer_length.csv', - # 'app/service/attribute_recognition/discriptor/outwear/2_outer_type.csv', - 'app/service/attribute_recognition/discriptor/outwear/3_outer_sleeve_length.csv', - 'app/service/attribute_recognition/discriptor/outwear/4_outer_sleeve_shape.csv', - 'app/service/attribute_recognition/discriptor/outwear/5_outer_sleeve_shoulder.csv', - 'app/service/attribute_recognition/discriptor/outwear/6_outer_Collar.csv', - 'app/service/attribute_recognition/discriptor/outwear/7_outer_Print.csv', - 'app/service/attribute_recognition/discriptor/outwear/8_outer_Material.csv', - 'app/service/attribute_recognition/discriptor/outwear/9_outer_Softness.csv', - 'app/service/attribute_recognition/discriptor/outwear/10_outer_Design.csv', - # 'app/service/attribute_recognition/discriptor/outwear/11_outer_opening.csv', - 'app/service/attribute_recognition/discriptor/outwear/12_outer_OPType.csv', - 'app/service/attribute_recognition/discriptor/outwear/13_outer_Silhouette.csv', ] - -outwear_model_list = ['outwear_outer_length', - # 'outwear_2_outer_type', - 'outwear_outer_sleeve_length', - 'outwear_outer_sleeve_shape', - 'outwear_outer_sleeve_shoulder', - 'outwear_outer_collar', - 'outwear_print', - 'outwear_material', - 'outwear_outer_softness', - 'outwear_outer_design', - # 'outwear_11_outer_opening', - 'outwear_outer_optype', - 'outwear_outer_silhouette'] - -jumpsuit_discription_list = ['app/service/attribute_recognition/discriptor/jumpsuit/1_jumsuit_length.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/2_jumpsuit_Sleeve_length.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/3_jumpsuit_Sleeve_shape.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/4_jumpsuit_Sleeve_shoulder.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/5_jumpsuit_Neckline.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/6_jumpsuit_Collar.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/7_jumpsuit_Print.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/8_jumpsuit_Material.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/9_jumpsuit_Softness.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/10_jumsuit_design.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/11_jumpsuit_OPType.csv', - 'app/service/attribute_recognition/discriptor/jumpsuit/12_jumpsuit_subtype.csv'] - -jumpsuit_model_list = ['jumpsuit_length', - 'jumpsuit_sleeve_length', - 'jumpsuit_sleeve_shape', - 'jumpsuit_sleeve_shoulder', - 'jumpsuit_neckline', - 'jumpsuit_collar', - 'jumpsuit_print', - 'jumpsuit_material', - 'jumpsuit_softness', - 'jumpsuit_design', - 'jumpsuit_optype', - 'jumpsuit_subtype'] - -dress_discription_list = ['app/service/attribute_recognition/discriptor/dress/1_dress_length.csv', - 'app/service/attribute_recognition/discriptor/dress/3_top_Sleeve_length.csv', - 'app/service/attribute_recognition/discriptor/dress/4_top_Sleeve_shape.csv', - 'app/service/attribute_recognition/discriptor/dress/5_top_Sleeve_shoulder.csv', - 'app/service/attribute_recognition/discriptor/dress/ori5_dress_Neckline.csv', - 'app/service/attribute_recognition/discriptor/dress/7_outer_Print.csv', - 'app/service/attribute_recognition/discriptor/dress/7_top_Collar.csv', - 'app/service/attribute_recognition/discriptor/dress/8_outer_Material.csv', - 'app/service/attribute_recognition/discriptor/dress/9_dress_Design.csv', - 'app/service/attribute_recognition/discriptor/dress/9_top_Softness.csv', - 'app/service/attribute_recognition/discriptor/dress/11_dress_Silhouette.csv', - # 'app/service/attribute_recognition/discriptor/dress/11_top_OPType.csv', - 'app/service/attribute_recognition/discriptor/dress/12_dress_type.csv'] - -dress_model_list = ['dress_length', - 'dress_sleeve_length', - 'dress_sleeve_shape', - 'dress_sleeve_shoulder', - 'dress_neckline', - 'dress_print', - 'dress_collar', - 'dress_material', - 'dress_design', - 'dress_softness', - 'dress_silohouette12', - # 'dress_' - 'dress_type' - ] - -category_discription = 'app/service/attribute_recognition/discriptor/category/category_dis.csv' -category_model = 'category' diff --git a/app/service/attribute_recognition/const_debug.py b/app/service/attribute_recognition/const_debug.py deleted file mode 100644 index 3b20939..0000000 --- a/app/service/attribute_recognition/const_debug.py +++ /dev/null @@ -1,139 +0,0 @@ -import torch - -device = torch.device('cuda') -top_discription_list = [r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\1_top_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\2_top_type.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\3_top_Sleeve_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\4_top_Sleeve_shape.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\5_top_Sleeve_shoulder.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\6_top_Neckline.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\7_outer_Print.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\8_outer_Material.csv', - # r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\9_top_Material.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\9_top_Softness.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\10_top_Design.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\11_top_OPType.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\12_top_Silhouette.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\top\7_top_Collar.csv'] - -top_model_list = ['top_length', - 'top_type', - 'top_Sleeve_length', - 'top_Sleeve_shape', - 'top_Sleeve_shoulder', - 'top_Neckline', - 'top_print', - 'top_material', - 'top_Softness', - 'top_Design', - 'top_optype', - 'top_Silhouette', - 'top_Collar' - ] - -bottom_discription_list = [ - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\2_bottom_subtype.csv', - # r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\3_bottom_structure.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\3_bottom_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\7_outer_Print.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\8_outer_Material.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\5_bottom_Softness.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\8_bottom_Silhouette.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\7_bottom_OPType.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\bottom\6_bottom_Design.csv'] - -bottom_model_list = [ - 'bottom_sub-Type', - 'bottom_length', - 'bottom_print', - 'bottom_material', - 'bottom_Softness_B', - 'bottom_Silhouette_B', - 'bottom_OPType_B', - 'bottom_design'] - -outwear_discription_list = [r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\1_outer_length.csv', - # r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\2_outer_type.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\3_outer_sleeve_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\4_outer_sleeve_shape.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\5_outer_sleeve_shoulder.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\6_outer_Collar.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\7_outer_Print.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\8_outer_Material.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\9_outer_Softness.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\10_outer_Design.csv', - # r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\11_outer_opening.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\12_outer_OPType.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\outwear\13_outer_Silhouette.csv', ] - -outwear_model_list = ['outwear_outer_length', - # 'outwear_2_outer_type', - 'outwear_outer_sleeve_length', - 'outwear_outer_sleeve_shape', - 'outwear_outer_sleeve_shoulder', - 'outwear_outer_collar', - 'outwear_print', - 'outwear_material', - 'outwear_outer_softness', - 'outwear_outer_design', - # 'outwear_11_outer_opening', - 'outwear_outer_optype', - 'outwear_outer_silhouette'] - -jumpsuit_discription_list = [r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\1_jumsuit_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\2_jumpsuit_Sleeve_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\3_jumpsuit_Sleeve_shape.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\4_jumpsuit_Sleeve_shoulder.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\5_jumpsuit_Neckline.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\6_jumpsuit_Collar.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\7_jumpsuit_Print.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\8_jumpsuit_Material.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\9_jumpsuit_Softness.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\10_jumsuit_design.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\11_jumpsuit_OPType.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\jumpsuit\12_jumpsuit_subtype.csv'] - -jumpsuit_model_list = ['jumpsuit_length', - 'jumpsuit_sleeve_length', - 'jumpsuit_sleeve_shape', - 'jumpsuit_sleeve_shoulder', - 'jumpsuit_neckline', - 'jumpsuit_collar', - 'jumpsuit_print', - 'jumpsuit_material', - 'jumpsuit_softness', - 'jumpsuit_design', - 'jumpsuit_optype', - 'jumpsuit_subtype'] - -dress_discription_list = [r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\1_dress_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\3_top_Sleeve_length.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\4_top_Sleeve_shape.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\5_top_Sleeve_shoulder.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\ori5_dress_Neckline.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\7_outer_Print.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\7_top_Collar.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\8_outer_Material.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\9_dress_Design.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\9_top_Softness.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\11_dress_Silhouette.csv', - # r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\11_top_OPType.csv', - r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\dress\12_dress_type.csv'] - -dress_model_list = ['dress_length', - 'dress_sleeve_length', - 'dress_sleeve_shape', - 'dress_sleeve_shoulder', - 'dress_neckline', - 'dress_print', - 'dress_collar', - 'dress_material', - 'dress_design', - 'dress_softness', - 'dress_silohouette12', - # 'dress_' - 'dress_type' - ] - -category_discription = r'E:\workspace\trinity_client_mixi\app\service\attribute_recognition\discriptor\category\category_dis.csv' -category_model = 'category' diff --git a/app/service/attribute_recognition/discriptor/bottom/2_bottom_subtype.csv b/app/service/attribute_recognition/discriptor/bottom/2_bottom_subtype.csv deleted file mode 100644 index 7cb9fb2..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/2_bottom_subtype.csv +++ /dev/null @@ -1,21 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line Skirt,bottom_Sub-Type_1,Sub_Type,2 -Bodycon Skirt,bottom_Sub-Type_2,Sub_Type,2 -Boot-Cut,bottom_Sub-Type_3,Sub_Type,2 -Bubble skirt,bottom_Sub-Type_4,Sub_Type,2 -Cargo Pants,bottom_Sub-Type_5,Sub_Type,2 -Culottes,bottom_Sub-Type_6,Sub_Type,2 -Handkerchief Skirt,bottom_Sub-Type_7,Sub_Type,2 -Jeans,bottom_Sub-Type_8,Sub_Type,2 -Joggers,bottom_Sub-Type_9,Sub_Type,2 -Leather pants,bottom_Sub-Type_10,Sub_Type,2 -Leggings,bottom_Sub-Type_11,Sub_Type,2 -Mermaid,bottom_Sub-Type_12,Sub_Type,2 -Pattened pants,bottom_Sub-Type_13,Sub_Type,2 -Peg leg Pants-Cigarette Pants,bottom_Sub-Type_14,Sub_Type,2 -Pencil Skirt,bottom_Sub-Type_15,Sub_Type,2 -Pleated Skirt,bottom_Sub-Type_16,Sub_Type,2 -Shorts,bottom_Sub-Type_17,Sub_Type,2 -Skater Skirt,bottom_Sub-Type_18,Sub_Type,2 -Suit Trousers,bottom_Sub-Type_19,Sub_Type,2 -Tier Skirt,bottom_Sub-Type_20,Sub_Type,2 diff --git a/app/service/attribute_recognition/discriptor/bottom/3_bottom_length.csv b/app/service/attribute_recognition/discriptor/bottom/3_bottom_length.csv deleted file mode 100644 index ecaf257..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/3_bottom_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Short,attr_BTM_length_1,Length,3 -Middle,attr_BTM_length_2,Length,3 -Seven,attr_BTM_length_3,Length,3 -Nine,attr_BTM_length_4,Length,3 -Long,attr_BTM_length_5,Length,3 diff --git a/app/service/attribute_recognition/discriptor/bottom/5_bottom_Softness.csv b/app/service/attribute_recognition/discriptor/bottom/5_bottom_Softness.csv deleted file mode 100644 index 8269778..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/5_bottom_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_B_1,Softness,5 -Medium,attr_Softness_B_2,Softness,5 -Hard,attr_Softness_B_3,Softness,5 diff --git a/app/service/attribute_recognition/discriptor/bottom/6_bottom_Design.csv b/app/service/attribute_recognition/discriptor/bottom/6_bottom_Design.csv deleted file mode 100644 index 27bf3d1..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/6_bottom_Design.csv +++ /dev/null @@ -1,17 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_B_1,Design,6 -Tiered,attr_Design_B_2,Design,6 -Tassel,attr_Design_B_3,Design,6 -Ruffle,attr_Design_B_4,Design,6 -Pleated,attr_Design_B_5,Design,6 -Wrap,attr_Design_B_6,Design,6 -Ripped,attr_Design_B_7,Design,6 -Cut out,attr_Design_B_8,Design,6 -Eyelet,attr_Design_B_9,Design,6 -Folded,attr_Design_B_10,Design,6 -Tied,attr_Design_B_11,Design,6 -Drapes,attr_Design_B_12,Design,6 -Ribbon,attr_Design_B_13,Design,6 -Button,attr_Design_B_14,Design,6 -Split,attr_Design_B_15,Design,6 -Fishtail,attr_Design_B_16,Design,6 diff --git a/app/service/attribute_recognition/discriptor/bottom/7_bottom_OPType.csv b/app/service/attribute_recognition/discriptor/bottom/7_bottom_OPType.csv deleted file mode 100644 index 008d981..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/7_bottom_OPType.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_B_1,Opening_Type,7 -Zipper,attr_OPType_B_2,Opening_Type,7 -Thread,attr_OPType_B_3,Opening_Type,7 -Hook,attr_OPType_B_4,Opening_Type,7 -Elastic,attr_OPType_B_5,Opening_Type,7 diff --git a/app/service/attribute_recognition/discriptor/bottom/7_outer_Print.csv b/app/service/attribute_recognition/discriptor/bottom/7_outer_Print.csv deleted file mode 100644 index cb5695d..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/7_outer_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Abstract,attr_Print_O_1,Print,7 -Allover,attr_Print_O_2,Print,7 -Animal,attr_Print_O_3,Print,7 -Camouflage,attr_Print_O_4,Print,7 -Checks,attr_Print_O_5,Print,7 -Color_block,attr_Print_O_6,Print,7 -Disty print,attr_Print_O_7,Print,7 -Dotted,attr_Print_O_8,Print,7 -Floral,attr_Print_O_9,Print,7 -Graphic print,attr_Print_O_10,Print,7 -Logo and slogan,attr_Print_O_11,Print,7 -Patchwork,attr_Print_O_12,Print,7 -Plain,attr_Print_O_13,Print,7 -Plain_dnim,attr_Print_O_14,Print,7 -Stripe,attr_Print_O_15,Print,7 diff --git a/app/service/attribute_recognition/discriptor/bottom/8_bottom_Silhouette.csv b/app/service/attribute_recognition/discriptor/bottom/8_bottom_Silhouette.csv deleted file mode 100644 index 9bd771a..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/8_bottom_Silhouette.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line,attr_Silhouette_B_1,Silhouette,8 -H Shape,attr_Silhouette_B_2,Silhouette,8 -Slim,attr_Silhouette_B_3,Silhouette,8 -Peg-leg,attr_Silhouette_B_4,Silhouette,8 -Peplum,attr_Silhouette_B_5,Silhouette,8 diff --git a/app/service/attribute_recognition/discriptor/bottom/8_outer_Material.csv b/app/service/attribute_recognition/discriptor/bottom/8_outer_Material.csv deleted file mode 100644 index 2db5c94..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/8_outer_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -Canvas,attr_Material_O_1,Material,8 -Chambray,attr_Material_O_2,Material,8 -Chenille,attr_Material_O_3,Material,8 -Chiffon,attr_Material_O_4,Material,8 -Corduroy,attr_Material_O_5,Material,8 -Crepe,attr_Material_O_6,Material,8 -Denim,attr_Material_O_7,Material,8 -Faux_fur,attr_Material_O_8,Material,8 -Faux_leather,attr_Material_O_9,Material,8 -Flannel,attr_Material_O_10,Material,8 -Fleece,attr_Material_O_11,Material,8 -Gingham,attr_Material_O_12,Material,8 -Jersey,attr_Material_O_13,Material,8 -Knit,attr_Material_O_14,Material,8 -Lace,attr_Material_O_15,Material,8 -Lawn,attr_Material_O_16,Material,8 -Neoprene,attr_Material_O_17,Material,8 -Organza,attr_Material_O_18,Material,8 -Plush,attr_Material_O_19,Material,8 -Satin,attr_Material_O_20,Material,8 -Serge,attr_Material_O_21,Material,8 -Taffeta,attr_Material_O_22,Material,8 -Tulle,attr_Material_O_23,Material,8 -Tweed,attr_Material_O_24,Material,8 -Twill,attr_Material_O_25,Material,8 -Velvet,attr_Material_O_26,Material,8 -Vinyl,attr_Material_O_27,Material,8 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori10_bottom_Silhoutte.csv b/app/service/attribute_recognition/discriptor/bottom/ori10_bottom_Silhoutte.csv deleted file mode 100644 index 48a01f9..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori10_bottom_Silhoutte.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line,attr_Silhouette_B_1,Silhouette,10 -H Shape,attr_Silhouette_B_2,Silhouette,10 -Slim,attr_Silhouette_B_3,Silhouette,10 -Peg-top,attr_Silhouette_B_4,Silhouette,10 -Peplum,attr_Silhouette_B_5,Silhouette,10 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori1_bottom_Type.csv b/app/service/attribute_recognition/discriptor/bottom/ori1_bottom_Type.csv deleted file mode 100644 index e1a7c82..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori1_bottom_Type.csv +++ /dev/null @@ -1,3 +0,0 @@ -labelName,join_attr,taskName,taskId -Pants,BTM_Type_1,Type,1 -Skirt,BTM_Type_2,Type,1 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori2_bottom_subtype.csv b/app/service/attribute_recognition/discriptor/bottom/ori2_bottom_subtype.csv deleted file mode 100644 index 93d835f..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori2_bottom_subtype.csv +++ /dev/null @@ -1,47 +0,0 @@ -labelName,join_attr,taskName,taskId -Jeans,BTM_Sub-Type_1,Sub_Type,2 -Leggings,BTM_Sub-Type_2,Sub_Type,2 -Joggers,BTM_Sub-Type_3,Sub_Type,2 -Suit Trousers,BTM_Sub-Type_4,Sub_Type,2 -Cargo Pants,BTM_Sub-Type_5,Sub_Type,2 -Culottes,BTM_Sub-Type_6,Sub_Type,2 -Peg leg Pants ,BTM_Sub-Type_7,Sub_Type,2 -A Line Skirt_gathered,BTM_Sub-Type_8,Sub_Type,2 -Pencil Skirt,BTM_Sub-Type_9,Sub_Type,2 -Handkerchief Skirt,BTM_Sub-Type_10,Sub_Type,2 -Mermaid/Fishtail Skirt,BTM_Sub-Type_11,Sub_Type,2 -Skater Skirt,BTM_Sub-Type_12,Sub_Type,2 -Bodycon Skirt,BTM_Sub-Type_13,Sub_Type,2 -Shorts,BTM_Sub-Type_14,Sub_Type,2 -boot-cut_flare,BTM_Sub-Type_15,Sub_Type,2 -Pleated Skirt,BTM_Sub-Type_16,Sub_Type,2 -Bubble skirt,BTM_Sub-Type_17,Sub_Type,2 -Leather pants,BTM_Sub-Type_18,Sub_Type,2 -pattened pants,BTM_Sub-Type_19,Sub_Type,2 -Tier Skirt,BTM_Sub-Type_20,Sub_Type,2 -asymmetric_mullet,BTM_Sub-Type_21,Sub_Type,2 -baggy,BTM_Sub-Type_22,Sub_Type,2 -denim skirt,BTM_Sub-Type_23,Sub_Type,2 -flare skirt,BTM_Sub-Type_24,Sub_Type,2 -fringe skirt,BTM_Sub-Type_25,Sub_Type,2 -godet skirt,BTM_Sub-Type_26,Sub_Type,2 -high rise pants,BTM_Sub-Type_27,Sub_Type,2 -hight waist skirt,BTM_Sub-Type_28,Sub_Type,2 -hat pants,BTM_Sub-Type_29,Sub_Type,2 -leather skirts,BTM_Sub-Type_30,Sub_Type,2 -long skirts,BTM_Sub-Type_31,Sub_Type,2 -low rise pants,BTM_Sub-Type_32,Sub_Type,2 -mini skirt,BTM_Sub-Type_33,Sub_Type,2 -panel kirt,BTM_Sub-Type_34,Sub_Type,2 -peg top skirt,BTM_Sub-Type_35,Sub_Type,2 -pencil pants,BTM_Sub-Type_36,Sub_Type,2 -shorts (denim),BTM_Sub-Type_37,Sub_Type,2 -skinny_cigarette pants,BTM_Sub-Type_38,Sub_Type,2 -split skirt,BTM_Sub-Type_39,Sub_Type,2 -stirrup,BTM_Sub-Type_40,Sub_Type,2 -stranget pants,BTM_Sub-Type_41,Sub_Type,2 -straight skirt,BTM_Sub-Type_42,Sub_Type,2 -wide leg pants,BTM_Sub-Type_43,Sub_Type,2 -wrap skirt,BTM_Sub-Type_44,Sub_Type,2 -Jeans,BTM_Sub-Type_45,Sub_Type,2 -Leggings,BTM_Sub-Type_46,Sub_Type,2 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori3_bottom_structure.csv b/app/service/attribute_recognition/discriptor/bottom/ori3_bottom_structure.csv deleted file mode 100644 index e968d11..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori3_bottom_structure.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Woven,attr_BTM_Structure_1,Structure,3 -Knit,attr_BTM_Structure_2,Structure,3 -Sweater,attr_BTM_Structure_3,Structure,3 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori4_bottom_length.csv b/app/service/attribute_recognition/discriptor/bottom/ori4_bottom_length.csv deleted file mode 100644 index 87465d1..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori4_bottom_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Short,attr_BTM_length_1,Length,4 -Middle,attr_BTM_length_2,Length,4 -Seven,attr_BTM_length_3,Length,4 -Nine,attr_BTM_length_4,Length,4 -Long,attr_BTM_length_5,Length,4 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori5_bottom_Print.csv b/app/service/attribute_recognition/discriptor/bottom/ori5_bottom_Print.csv deleted file mode 100644 index 4d6410e..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori5_bottom_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -abstract,attr_Print_B_1,Print,5 -allover,attr_Print_B_2,Print,5 -animal printed,attr_Print_B_3,Print,5 -Camouflage,attr_Print_B_4,Print,5 -checks,attr_Print_B_5,Print,5 -color_block,attr_Print_B_6,Print,5 -disty print,attr_Print_B_7,Print,5 -dotted,attr_Print_B_8,Print,5 -floral,attr_Print_B_9,Print,5 -graphic print,attr_Print_B_10,Print,5 -logo and slogan print,attr_Print_B_11,Print,5 -patchwork,attr_Print_B_12,Print,5 -plain,attr_Print_B_13,Print,5 -plain_dnim,attr_Print_B_14,Print,5 -stripe,attr_Print_B_15,Print,5 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori6_bottom_Material.csv b/app/service/attribute_recognition/discriptor/bottom/ori6_bottom_Material.csv deleted file mode 100644 index 6d94f8b..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori6_bottom_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -canvas,attr_Material_B_1,Material,6 -chambray,attr_Material_B_2,Material,6 -chenille,attr_Material_B_3,Material,6 -chiffon,attr_Material_B_4,Material,6 -corduroy,attr_Material_B_5,Material,6 -crepe,attr_Material_B_6,Material,6 -denim,attr_Material_B_7,Material,6 -faux_fur,attr_Material_B_8,Material,6 -faux_leather,attr_Material_B_9,Material,6 -flannel,attr_Material_B_10,Material,6 -fleece,attr_Material_B_11,Material,6 -gingham,attr_Material_B_12,Material,6 -jersey,attr_Material_B_13,Material,6 -knit,attr_Material_B_14,Material,6 -lace,attr_Material_B_15,Material,6 -lawn,attr_Material_B_16,Material,6 -neoprene,attr_Material_B_17,Material,6 -organza,attr_Material_B_18,Material,6 -plush,attr_Material_B_19,Material,6 -satin,attr_Material_B_20,Material,6 -serge,attr_Material_B_21,Material,6 -taffeta,attr_Material_B_22,Material,6 -tulle,attr_Material_B_23,Material,6 -tweed,attr_Material_B_24,Material,6 -twill,attr_Material_B_25,Material,6 -velvet,attr_Material_B_26,Material,6 -vinyl,attr_Material_B_27,Material,6 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori7_bottom_Softness.csv b/app/service/attribute_recognition/discriptor/bottom/ori7_bottom_Softness.csv deleted file mode 100644 index 74421f0..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori7_bottom_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_B_1,Softness,7 -Medium,attr_Softness_B_2,Softness,7 -Hard,attr_Softness_B_3,Softness,7 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori8_bottom_Design.csv b/app/service/attribute_recognition/discriptor/bottom/ori8_bottom_Design.csv deleted file mode 100644 index 6a8e5d7..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori8_bottom_Design.csv +++ /dev/null @@ -1,17 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_B_1,Design,8 -Tiered,attr_Design_B_2,Design,8 -Tassel,attr_Design_B_3,Design,8 -Ruffle,attr_Design_B_4,Design,8 -Pleated,attr_Design_B_5,Design,8 -Wrap,attr_Design_B_6,Design,8 -Ripped,attr_Design_B_7,Design,8 -Cut out,attr_Design_B_8,Design,8 -Eyelet,attr_Design_B_9,Design,8 -Folded,attr_Design_B_10,Design,8 -Tied,attr_Design_B_11,Design,8 -Drapes,attr_Design_B_12,Design,8 -Ribbon,attr_Design_B_13,Design,8 -Button,attr_Design_B_14,Design,8 -Split,attr_Design_B_15,Design,8 -Fishtail,attr_Design_B_16,Design,8 diff --git a/app/service/attribute_recognition/discriptor/bottom/ori9_bottom_OPType.csv b/app/service/attribute_recognition/discriptor/bottom/ori9_bottom_OPType.csv deleted file mode 100644 index 5aaef17..0000000 --- a/app/service/attribute_recognition/discriptor/bottom/ori9_bottom_OPType.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_B_1,Opening_Type,9 -Zipper,attr_OPType_B_2,Opening_Type,9 -Thread,attr_OPType_B_3,Opening_Type,9 -Hook,attr_OPType_B_4,Opening_Type,9 -Elastic,attr_OPType_B_5,Opening_Type,9 diff --git a/app/service/attribute_recognition/discriptor/category/category_dis.csv b/app/service/attribute_recognition/discriptor/category/category_dis.csv deleted file mode 100644 index 724edb2..0000000 --- a/app/service/attribute_recognition/discriptor/category/category_dis.csv +++ /dev/null @@ -1,7 +0,0 @@ -labelName,join_attr,taskName,taskId -top,attr_top,category,1 -pants,attr_pants,category,1 -skirt,attr_skirt,category,1 -dress,attr_dress,category,1 -outwear,attr_outwear,category,1 -jumpsuit,attr_jumpsuit,category,1 diff --git a/app/service/attribute_recognition/discriptor/dress/11_dress_Silhouette.csv b/app/service/attribute_recognition/discriptor/dress/11_dress_Silhouette.csv deleted file mode 100644 index 97499f4..0000000 --- a/app/service/attribute_recognition/discriptor/dress/11_dress_Silhouette.csv +++ /dev/null @@ -1,11 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line,attr_Silhouette_U_1,Silhouette,11 -H Shape,attr_Silhouette_U_2,Silhouette,11 -Slim,attr_Silhouette_U_3,Silhouette,11 -Oversized,attr_Silhouette_U_4,Silhouette,11 -Cacoon,attr_Silhouette_U_5,Silhouette,11 -Empire,attr_Silhouette_U_6,Silhouette,11 -Hourglass,attr_Silhouette_U_7,Silhouette,11 -Mermaid,attr_Silhouette_U_8,Silhouette,11 -Sheath,attr_Silhouette_U_9,Silhouette,11 -Tent,attr_Silhouette_U_10,Silhouette,11 diff --git a/app/service/attribute_recognition/discriptor/dress/11_top_OPType.csv b/app/service/attribute_recognition/discriptor/dress/11_top_OPType.csv deleted file mode 100644 index 870631b..0000000 --- a/app/service/attribute_recognition/discriptor/dress/11_top_OPType.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_U_1,Opening_Type,11 -Zipper,attr_OPType_U_2,Opening_Type,11 -Thread,attr_OPType_U_3,Opening_Type,11 -Hook,attr_OPType_U_4,Opening_Type,11 diff --git a/app/service/attribute_recognition/discriptor/dress/12_dress_type.csv b/app/service/attribute_recognition/discriptor/dress/12_dress_type.csv deleted file mode 100644 index 7a7a1c7..0000000 --- a/app/service/attribute_recognition/discriptor/dress/12_dress_type.csv +++ /dev/null @@ -1,20 +0,0 @@ -labelName,join_attr,taskName,taskId -Evening gown,attr_dresstype_1,Type,12 -Shirt-dress,attr_dresstype_2,Type,12 -Coat dress,attr_dresstype_3,Type,12 -Handkerchief dress,attr_dresstype_4,Type,12 -Jumper dress,attr_dresstype_5,Type,12 -Dungaree dress,attr_dresstype_6,Type,12 -Skater dress,attr_dresstype_7,Type,12 -Tea dress,attr_dresstype_8,Type,12 -Mermaid dress,attr_dresstype_9,Type,12 -Cocktail dress,attr_dresstype_10,Type,12 -A-Line dress,attr_dresstype_11,Type,12 -Bodycon dress,attr_dresstype_12,Type,12 -Maxi dress,attr_dresstype_13,Type,12 -Office dress,attr_dresstype_14,Type,12 -Pencil dress,attr_dresstype_15,Type,12 -Sheer dress,attr_dresstype_16,Type,12 -Shift dress,attr_dresstype_17,Type,12 -Slip dress,attr_dresstype_18,Type,12 -T-shirt dress,attr_dresstype_19,Type,12 \ No newline at end of file diff --git a/app/service/attribute_recognition/discriptor/dress/1_dress_length.csv b/app/service/attribute_recognition/discriptor/dress/1_dress_length.csv deleted file mode 100644 index 9568d0c..0000000 --- a/app/service/attribute_recognition/discriptor/dress/1_dress_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Maxi,attr_Dress_length_1,Length,1 -Midi,attr_Dress_length_2,Length,1 -Mini,attr_Dress_length_3,Length,1 -Over the knee,attr_Dress_length_4,Length,1 -Floor Length,attr_Dress_length_5,Length,1 diff --git a/app/service/attribute_recognition/discriptor/dress/3_top_Sleeve_length.csv b/app/service/attribute_recognition/discriptor/dress/3_top_Sleeve_length.csv deleted file mode 100644 index 1f2a0f3..0000000 --- a/app/service/attribute_recognition/discriptor/dress/3_top_Sleeve_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Sleeveless,attr_Sleeve_length_1,Sleeve_Length,3 -Short,attr_Sleeve_length_2,Sleeve_Length,3 -Middle,attr_Sleeve_length_3,Sleeve_Length,3 -Seven,attr_Sleeve_length_4,Sleeve_Length,3 -Long,attr_Sleeve_length_5,Sleeve_Length,3 diff --git a/app/service/attribute_recognition/discriptor/dress/4_top_Sleeve_shape.csv b/app/service/attribute_recognition/discriptor/dress/4_top_Sleeve_shape.csv deleted file mode 100644 index d429c11..0000000 --- a/app/service/attribute_recognition/discriptor/dress/4_top_Sleeve_shape.csv +++ /dev/null @@ -1,9 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shape_1,Sleeve_Shape,4 -Slim,attr_Sleeve_shape_2,Sleeve_Shape,4 -Puff,attr_Sleeve_shape_3,Sleeve_Shape,4 -Bell,attr_Sleeve_shape_4,Sleeve_Shape,4 -Batwing,attr_Sleeve_shape_5,Sleeve_Shape,4 -Shirt,attr_Sleeve_shape_6,Sleeve_Shape,4 -Rib,attr_Sleeve_shape_7,Sleeve_Shape,4 -Raglan,attr_Sleeve_shape_8,Sleeve_Shape,4 diff --git a/app/service/attribute_recognition/discriptor/dress/5_top_Sleeve_shoulder.csv b/app/service/attribute_recognition/discriptor/dress/5_top_Sleeve_shoulder.csv deleted file mode 100644 index c31e7ea..0000000 --- a/app/service/attribute_recognition/discriptor/dress/5_top_Sleeve_shoulder.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shoulder_1,Sleeve_Shoulder,5 -Cold,attr_Sleeve_shoulder_2,Sleeve_Shoulder,5 -Tucked,attr_Sleeve_shoulder_3,Sleeve_Shoulder,5 -Balmain,attr_Sleeve_shoulder_4,Sleeve_Shoulder,5 diff --git a/app/service/attribute_recognition/discriptor/dress/6_top_Neckline.csv b/app/service/attribute_recognition/discriptor/dress/6_top_Neckline.csv deleted file mode 100644 index 30c1420..0000000 --- a/app/service/attribute_recognition/discriptor/dress/6_top_Neckline.csv +++ /dev/null @@ -1,7 +0,0 @@ -labelName,join_attr,taskName,taskId -Round,attr_Neckline_1,Neckline,6 -V,attr_Neckline_2,Neckline,6 -Square,attr_Neckline_3,Neckline,6 -One-shoulder,attr_Neckline_4,Neckline,6 -Off-shoulder,attr_Neckline_5,Neckline,6 -Strapless,attr_Neckline_6,Neckline,6 diff --git a/app/service/attribute_recognition/discriptor/dress/7_outer_Print.csv b/app/service/attribute_recognition/discriptor/dress/7_outer_Print.csv deleted file mode 100644 index cb5695d..0000000 --- a/app/service/attribute_recognition/discriptor/dress/7_outer_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Abstract,attr_Print_O_1,Print,7 -Allover,attr_Print_O_2,Print,7 -Animal,attr_Print_O_3,Print,7 -Camouflage,attr_Print_O_4,Print,7 -Checks,attr_Print_O_5,Print,7 -Color_block,attr_Print_O_6,Print,7 -Disty print,attr_Print_O_7,Print,7 -Dotted,attr_Print_O_8,Print,7 -Floral,attr_Print_O_9,Print,7 -Graphic print,attr_Print_O_10,Print,7 -Logo and slogan,attr_Print_O_11,Print,7 -Patchwork,attr_Print_O_12,Print,7 -Plain,attr_Print_O_13,Print,7 -Plain_dnim,attr_Print_O_14,Print,7 -Stripe,attr_Print_O_15,Print,7 diff --git a/app/service/attribute_recognition/discriptor/dress/7_top_Collar.csv b/app/service/attribute_recognition/discriptor/dress/7_top_Collar.csv deleted file mode 100644 index a30c014..0000000 --- a/app/service/attribute_recognition/discriptor/dress/7_top_Collar.csv +++ /dev/null @@ -1,11 +0,0 @@ -labelName,join_attr,taskName,taskId -Peterpan,attr_Collar_1,Collar,7 -Shirt,attr_Collar_2,Collar,7 -Rib,attr_Collar_3,Collar,7 -Turtle,attr_Collar_4,Collar,7 -Lapel,attr_Collar_5,Collar,7 -Hoodie,attr_Collar_6,Collar,7 -Mandarin,attr_Collar_7,Collar,7 -Tie,attr_Collar_8,Collar,7 -Ruffle,attr_Collar_9,Collar,7 -Cowl,attr_Collar_10,Collar,7 diff --git a/app/service/attribute_recognition/discriptor/dress/8_outer_Material.csv b/app/service/attribute_recognition/discriptor/dress/8_outer_Material.csv deleted file mode 100644 index 2db5c94..0000000 --- a/app/service/attribute_recognition/discriptor/dress/8_outer_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -Canvas,attr_Material_O_1,Material,8 -Chambray,attr_Material_O_2,Material,8 -Chenille,attr_Material_O_3,Material,8 -Chiffon,attr_Material_O_4,Material,8 -Corduroy,attr_Material_O_5,Material,8 -Crepe,attr_Material_O_6,Material,8 -Denim,attr_Material_O_7,Material,8 -Faux_fur,attr_Material_O_8,Material,8 -Faux_leather,attr_Material_O_9,Material,8 -Flannel,attr_Material_O_10,Material,8 -Fleece,attr_Material_O_11,Material,8 -Gingham,attr_Material_O_12,Material,8 -Jersey,attr_Material_O_13,Material,8 -Knit,attr_Material_O_14,Material,8 -Lace,attr_Material_O_15,Material,8 -Lawn,attr_Material_O_16,Material,8 -Neoprene,attr_Material_O_17,Material,8 -Organza,attr_Material_O_18,Material,8 -Plush,attr_Material_O_19,Material,8 -Satin,attr_Material_O_20,Material,8 -Serge,attr_Material_O_21,Material,8 -Taffeta,attr_Material_O_22,Material,8 -Tulle,attr_Material_O_23,Material,8 -Tweed,attr_Material_O_24,Material,8 -Twill,attr_Material_O_25,Material,8 -Velvet,attr_Material_O_26,Material,8 -Vinyl,attr_Material_O_27,Material,8 diff --git a/app/service/attribute_recognition/discriptor/dress/9_dress_Design.csv b/app/service/attribute_recognition/discriptor/dress/9_dress_Design.csv deleted file mode 100644 index 03016b0..0000000 --- a/app/service/attribute_recognition/discriptor/dress/9_dress_Design.csv +++ /dev/null @@ -1,19 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_U_1,Design,9 -Tiered,attr_Design_U_2,Design,9 -Tassel,attr_Design_U_3,Design,9 -Ruffle,attr_Design_U_4,Design,9 -Pleated,attr_Design_U_5,Design,9 -Wrap,attr_Design_U_6,Design,9 -Ripped,attr_Design_U_7,Design,9 -Cut out,attr_Design_U_8,Design,9 -Eyelet,attr_Design_U_9,Design,9 -Folded,attr_Design_U_10,Design,9 -Tied,attr_Design_U_11,Design,9 -Drapes,attr_Design_U_12,Design,9 -Ribbon,attr_Design_U_13,Design,9 -Button,attr_Design_U_14,Design,9 -Split,attr_Design_U_15,Design,9 -Fishtail,attr_Design_U_16,Design,9 -Cami dress,attr_Design_U_17,Design,9 -Gathering,attr_Design_U_18,Design,9 diff --git a/app/service/attribute_recognition/discriptor/dress/9_top_Softness.csv b/app/service/attribute_recognition/discriptor/dress/9_top_Softness.csv deleted file mode 100644 index dc8b5f0..0000000 --- a/app/service/attribute_recognition/discriptor/dress/9_top_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_U_1,Softness,9 -Medium,attr_Softness_U_2,Softness,9 -Hard,attr_Softness_U_3,Softness,9 diff --git a/app/service/attribute_recognition/discriptor/dress/ori10_dress_Design.csv b/app/service/attribute_recognition/discriptor/dress/ori10_dress_Design.csv deleted file mode 100644 index db0561e..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori10_dress_Design.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_D_1,Design,10 -Tiered,attr_Design_D_2,Design,10 -Tassel,attr_Design_D_3,Design,10 -Ruffle,attr_Design_D_4,Design,10 -Pleated,attr_Design_D_5,Design,10 -Wrap,attr_Design_D_6,Design,10 -Ripped,attr_Design_D_7,Design,10 -Cut out,attr_Design_D_8,Design,10 -Eyelet,attr_Design_D_9,Design,10 -Folded,attr_Design_D_10,Design,10 -Tied,attr_Design_D_11,Design,10 -Drapes,attr_Design_D_12,Design,10 -Ribbon,attr_Design_D_13,Design,10 -Button,attr_Design_D_14,Design,10 -Gathering,attr_Design_D_15,Design,10 diff --git a/app/service/attribute_recognition/discriptor/dress/ori11_dress_OPType.csv b/app/service/attribute_recognition/discriptor/dress/ori11_dress_OPType.csv deleted file mode 100644 index 34be31e..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori11_dress_OPType.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_D_1,Opening_Type,11 -Zipper,attr_OPType_D_2,Opening_Type,11 -Thread,attr_OPType_D_3,Opening_Type,11 -Hook,attr_OPType_D_4,Opening_Type,11 diff --git a/app/service/attribute_recognition/discriptor/dress/ori12_dress_Silhouette.csv b/app/service/attribute_recognition/discriptor/dress/ori12_dress_Silhouette.csv deleted file mode 100644 index 170bd18..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori12_dress_Silhouette.csv +++ /dev/null @@ -1,11 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line,attr_Silhouette_D_1,Silhouette,12 -H Shape,attr_Silhouette_D_2,Silhouette,12 -Slim,attr_Silhouette_D_3,Silhouette,12 -Oversized,attr_Silhouette_D_4,Silhouette,12 -Cacoon,attr_Silhouette_D_5,Silhouette,12 -Empire,attr_Silhouette_D_6,Silhouette,12 -Hourglass,attr_Silhouette_D_7,Silhouette,12 -Mermaid,attr_Silhouette_D_8,Silhouette,12 -Sheath,attr_Silhouette_D_9,Silhouette,12 -Tent,attr_Silhouette_D_10,Silhouette,12 diff --git a/app/service/attribute_recognition/discriptor/dress/ori13_dress_Type.csv b/app/service/attribute_recognition/discriptor/dress/ori13_dress_Type.csv deleted file mode 100644 index 84daf45..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori13_dress_Type.csv +++ /dev/null @@ -1,20 +0,0 @@ -labelName,join_attr,taskName,taskId -Evening gown,attr_Dress_Type_1,Type,13 -Shirt-dress,attr_Dress_Type_2,Type,13 -Coat dress,attr_Dress_Type_3,Type,13 -Handkerchief dress,attr_Dress_Type_4,Type,13 -Jumper dress,attr_Dress_Type_5,Type,13 -Dungaree dress,attr_Dress_Type_6,Type,13 -Skater dress,attr_Dress_Type_7,Type,13 -Tea dress,attr_Dress_Type_8,Type,13 -Mermaid dress,attr_Dress_Type_9,Type,13 -Cocktail dress,attr_Dress_Type_10,Type,13 -A-Line dress,attr_Dress_Type_11,Type,13 -Bodycon dress,attr_Dress_Type_12,Type,13 -Maxi dress,attr_Dress_Type_13,Type,13 -Office dress,attr_Dress_Type_14,Type,13 -Pencil dress,attr_Dress_Type_15,Type,13 -Sheer dress,attr_Dress_Type_16,Type,13 -Shift dress,attr_Dress_Type_17,Type,13 -Slip dress,attr_Dress_Type_18,Type,13 -T-shirt dress,attr_Dress_Type_19,Type,13 diff --git a/app/service/attribute_recognition/discriptor/dress/ori1_dress_length.csv b/app/service/attribute_recognition/discriptor/dress/ori1_dress_length.csv deleted file mode 100644 index 9568d0c..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori1_dress_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Maxi,attr_Dress_length_1,Length,1 -Midi,attr_Dress_length_2,Length,1 -Mini,attr_Dress_length_3,Length,1 -Over the knee,attr_Dress_length_4,Length,1 -Floor Length,attr_Dress_length_5,Length,1 diff --git a/app/service/attribute_recognition/discriptor/dress/ori2_dress_Sleeve_length.csv b/app/service/attribute_recognition/discriptor/dress/ori2_dress_Sleeve_length.csv deleted file mode 100644 index 14a2dc5..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori2_dress_Sleeve_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Sleeveless,attr_Sleeve_length_D_1,Sleeve_Length,2 -Short,attr_Sleeve_length_D_2,Sleeve_Length,2 -Middle,attr_Sleeve_length_D_3,Sleeve_Length,2 -Seven,attr_Sleeve_length_D_4,Sleeve_Length,2 -Long,attr_Sleeve_length_D_5,Sleeve_Length,2 diff --git a/app/service/attribute_recognition/discriptor/dress/ori3_dress_Sleeve_shape.csv b/app/service/attribute_recognition/discriptor/dress/ori3_dress_Sleeve_shape.csv deleted file mode 100644 index 7277acf..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori3_dress_Sleeve_shape.csv +++ /dev/null @@ -1,9 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shape_D_1,Sleeve_Shape,3 -Slim,attr_Sleeve_shape_D_2,Sleeve_Shape,3 -Puff,attr_Sleeve_shape_D_3,Sleeve_Shape,3 -Bell,attr_Sleeve_shape_D_4,Sleeve_Shape,3 -Batwing,attr_Sleeve_shape_D_5,Sleeve_Shape,3 -Shirt,attr_Sleeve_shape_D_6,Sleeve_Shape,3 -Rib,attr_Sleeve_shape_D_7,Sleeve_Shape,3 -Raglan,attr_Sleeve_shape_D_8,Sleeve_Shape,3 diff --git a/app/service/attribute_recognition/discriptor/dress/ori4_dress_Sleeve_shoulder.csv b/app/service/attribute_recognition/discriptor/dress/ori4_dress_Sleeve_shoulder.csv deleted file mode 100644 index 36656f8..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori4_dress_Sleeve_shoulder.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shoulder_D_1,Sleeve_Shoulder,4 -Cold,attr_Sleeve_shoulder_D_2,Sleeve_Shoulder,4 -Tucked,attr_Sleeve_shoulder_D_3,Sleeve_Shoulder,4 -Balmain,attr_Sleeve_shoulder_D_4,Sleeve_Shoulder,4 diff --git a/app/service/attribute_recognition/discriptor/dress/ori5_dress_Neckline.csv b/app/service/attribute_recognition/discriptor/dress/ori5_dress_Neckline.csv deleted file mode 100644 index 5e76802..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori5_dress_Neckline.csv +++ /dev/null @@ -1,17 +0,0 @@ -labelName,join_attr,taskName,taskId -Round,attr_Neckline_D_1,Neckline,5 -V,attr_Neckline_D_2,Neckline,5 -Square,attr_Neckline_D_3,Neckline,5 -One-shoulder,attr_Neckline_D_4,Neckline,5 -Off-shoulder,attr_Neckline_D_5,Neckline,5 -Strapless,attr_Neckline_D_6,Neckline,5 -Turtle,attr_Neckline_D_7,Neckline,5 -Boat,attr_Neckline_D_8,Neckline,5 -Halter,attr_Neckline_D_9,Neckline,5 -Spaghetti Strap,attr_Neckline_D_10,Neckline,5 -Sweetheart,attr_Neckline_D_11,Neckline,5 -U,attr_Neckline_D_12,Neckline,5 -choker,attr_Neckline_D_13,Neckline,5 -cowl,attr_Neckline_D_14,Neckline,5 -keyhole,attr_Neckline_D_15,Neckline,5 -split,attr_Neckline_D_16,Neckline,5 diff --git a/app/service/attribute_recognition/discriptor/dress/ori6_dress_Collar.csv b/app/service/attribute_recognition/discriptor/dress/ori6_dress_Collar.csv deleted file mode 100644 index 0873572..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori6_dress_Collar.csv +++ /dev/null @@ -1,11 +0,0 @@ -labelName,join_attr,taskName,taskId -Peterpan-Bertha,attr_Collar_D_1,Collar,6 -Shirt,attr_Collar_D_2,Collar,6 -Rib,attr_Collar_D_3,Collar,6 -Turtle,attr_Collar_D_4,Collar,6 -Lapel,attr_Collar_D_5,Collar,6 -Hoodie,attr_Collar_D_6,Collar,6 -Mandarin,attr_Collar_D_7,Collar,6 -Tie,attr_Collar_D_8,Collar,6 -Ruffle,attr_Collar_D_9,Collar,6 -Cowl,attr_Collar_D_10,Collar,6 diff --git a/app/service/attribute_recognition/discriptor/dress/ori7_dress_Print.csv b/app/service/attribute_recognition/discriptor/dress/ori7_dress_Print.csv deleted file mode 100644 index 5caa797..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori7_dress_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -abstract,attr_Print_D_1,Print,7 -allover,attr_Print_D_2,Print,7 -animal printed,attr_Print_D_3,Print,7 -Camouflage,attr_Print_D_4,Print,7 -checks,attr_Print_D_5,Print,7 -color_block,attr_Print_D_6,Print,7 -disty print,attr_Print_D_7,Print,7 -dotted,attr_Print_D_8,Print,7 -floral,attr_Print_D_9,Print,7 -graphic print,attr_Print_D_10,Print,7 -logo and slogan print,attr_Print_D_11,Print,7 -patchwork,attr_Print_D_12,Print,7 -plain,attr_Print_D_13,Print,7 -plain_dnim,attr_Print_D_14,Print,7 -stripe,attr_Print_D_15,Print,7 diff --git a/app/service/attribute_recognition/discriptor/dress/ori8_dress_Material.csv b/app/service/attribute_recognition/discriptor/dress/ori8_dress_Material.csv deleted file mode 100644 index 2a05645..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori8_dress_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -canvas,attr_Material_D_1,Material,8 -chambray,attr_Material_D_2,Material,8 -chenille,attr_Material_D_3,Material,8 -chiffon,attr_Material_D_4,Material,8 -corduroy,attr_Material_D_5,Material,8 -crepe,attr_Material_D_6,Material,8 -denim,attr_Material_D_7,Material,8 -faux_fur,attr_Material_D_8,Material,8 -faux_leather,attr_Material_D_9,Material,8 -flannel,attr_Material_D_10,Material,8 -fleece,attr_Material_D_11,Material,8 -gingham,attr_Material_D_12,Material,8 -jersey,attr_Material_D_13,Material,8 -knit,attr_Material_D_14,Material,8 -lace,attr_Material_D_15,Material,8 -lawn,attr_Material_D_16,Material,8 -neoprene,attr_Material_D_17,Material,8 -organza,attr_Material_D_18,Material,8 -plush,attr_Material_D_19,Material,8 -satin,attr_Material_D_20,Material,8 -serge,attr_Material_D_21,Material,8 -taffeta,attr_Material_D_22,Material,8 -tulle,attr_Material_D_23,Material,8 -tweed,attr_Material_D_24,Material,8 -twill,attr_Material_D_25,Material,8 -velvet,attr_Material_D_26,Material,8 -vinyl,attr_Material_D_27,Material,8 diff --git a/app/service/attribute_recognition/discriptor/dress/ori9_dress_Softness.csv b/app/service/attribute_recognition/discriptor/dress/ori9_dress_Softness.csv deleted file mode 100644 index 4488232..0000000 --- a/app/service/attribute_recognition/discriptor/dress/ori9_dress_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_D_1,Softness,9 -Medium,attr_Softness_D_2,Softness,9 -Hard,attr_Softness_D_3,Softness,9 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/.~lock.12_jumsuit_subtye.csv# b/app/service/attribute_recognition/discriptor/jumpsuit/.~lock.12_jumsuit_subtye.csv# deleted file mode 100644 index c911109..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/.~lock.12_jumsuit_subtye.csv# +++ /dev/null @@ -1 +0,0 @@ -,shumin,shumin,20.02.2023 16:48,file:///home/shumin/.config/libreoffice/4; \ No newline at end of file diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/.~lock.8_jumpsuit_Material.csv# b/app/service/attribute_recognition/discriptor/jumpsuit/.~lock.8_jumpsuit_Material.csv# deleted file mode 100644 index e1b4bc3..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/.~lock.8_jumpsuit_Material.csv# +++ /dev/null @@ -1 +0,0 @@ -,shumin,shumin,20.02.2023 16:40,file:///home/shumin/.config/libreoffice/4; \ No newline at end of file diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/10_jumsuit_design.csv b/app/service/attribute_recognition/discriptor/jumpsuit/10_jumsuit_design.csv deleted file mode 100644 index 47d13cf..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/10_jumsuit_design.csv +++ /dev/null @@ -1,17 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_J_1,Design,9 -Tassel,attr_Design_J_2,Design,9 -Ruffle,attr_Design_J_3,Design,9 -Pleated,attr_Design_J_4,Design,9 -Wrap,attr_Design_J_5,Design,9 -Cut out,attr_Design_J_6,Design,9 -Tied,attr_Design_J_7,Design,9 -Drapes,attr_Design_J_8,Design,9 -Ribbon,attr_Design_J_9,Design,9 -Button,attr_Design_J_10,Design,9 -Cami,attr_Design_J_11,Design,9 -Gathering,attr_Design_J_12,Design,9 -Pocket,attr_Design_J_13,Design,9 -Dungaree,attr_Design_J_14,Design,9 -Layering,attr_Design_J_15,Design,9 -Belted,attr_Design_J_16,Design,9 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/11_jumpsuit_OPType.csv b/app/service/attribute_recognition/discriptor/jumpsuit/11_jumpsuit_OPType.csv deleted file mode 100644 index 7e8fa63..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/11_jumpsuit_OPType.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_J_1,Opening_Type,11 -Zipper,attr_OPType_J_2,Opening_Type,11 -Thread,attr_OPType_J_3,Opening_Type,11 -Hook,attr_OPType_J_4,Opening_Type,11 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/12_jumpsuit_subtype.csv b/app/service/attribute_recognition/discriptor/jumpsuit/12_jumpsuit_subtype.csv deleted file mode 100644 index ba7256d..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/12_jumpsuit_subtype.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Peg leg,attr_Jumpsuit_subtype_1,Subtype,12 -Straight leg,attr_Jumpsuit_subtype_2,Subtype,12 -Wide leg,attr_Jumpsuit_subtype_3,Subtype,12 -Boot-cut flare,attr_Jumpsuit_subtype_4,Subtype,12 -Slim fit,attr_Jumpsuit_subtype_5,Subtype,12 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/1_jumsuit_length.csv b/app/service/attribute_recognition/discriptor/jumpsuit/1_jumsuit_length.csv deleted file mode 100644 index 6a03719..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/1_jumsuit_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Short,attr_Jumpsuit_length_1,Length,1 -Middle,attr_Jumpsuit_length_2,Length,1 -Seven,attr_Jumpsuit_length_3,Length,1 -Nine,attr_Jumpsuit_length_4,Length,1 -Long,attr_Jumpsuit_length_5,Length,1 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/2_jumpsuit_Sleeve_length.csv b/app/service/attribute_recognition/discriptor/jumpsuit/2_jumpsuit_Sleeve_length.csv deleted file mode 100644 index 7d77d7a..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/2_jumpsuit_Sleeve_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Sleeveless,attr_Sleeve_length_J_1,Sleeve_Length,2 -Short,attr_Sleeve_length_J_2,Sleeve_Length,2 -Middle,attr_Sleeve_length_J_3,Sleeve_Length,2 -Seven,attr_Sleeve_length_J_4,Sleeve_Length,2 -Long,attr_Sleeve_length_J_5,Sleeve_Length,2 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/3_jumpsuit_Sleeve_shape.csv b/app/service/attribute_recognition/discriptor/jumpsuit/3_jumpsuit_Sleeve_shape.csv deleted file mode 100644 index c1a9cce..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/3_jumpsuit_Sleeve_shape.csv +++ /dev/null @@ -1,9 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shape_J_1,Sleeve_Shape,3 -Slim,attr_Sleeve_shape_J_2,Sleeve_Shape,3 -Puff,attr_Sleeve_shape_J_3,Sleeve_Shape,3 -Bell,attr_Sleeve_shape_J_4,Sleeve_Shape,3 -Batwing,attr_Sleeve_shape_J_5,Sleeve_Shape,3 -Shirt,attr_Sleeve_shape_J_6,Sleeve_Shape,3 -Rib,attr_Sleeve_shape_J_7,Sleeve_Shape,3 -Raglan,attr_Sleeve_shape_J_8,Sleeve_Shape,3 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/4_jumpsuit_Sleeve_shoulder.csv b/app/service/attribute_recognition/discriptor/jumpsuit/4_jumpsuit_Sleeve_shoulder.csv deleted file mode 100644 index 47e067a..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/4_jumpsuit_Sleeve_shoulder.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shoulder_J_1,Sleeve_Shoulder,4 -Cold,attr_Sleeve_shoulder_J_2,Sleeve_Shoulder,4 -Tucked,attr_Sleeve_shoulder_J_3,Sleeve_Shoulder,4 -Balmain,attr_Sleeve_shoulder_J_4,Sleeve_Shoulder,4 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/5_jumpsuit_Neckline.csv b/app/service/attribute_recognition/discriptor/jumpsuit/5_jumpsuit_Neckline.csv deleted file mode 100644 index 30c1420..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/5_jumpsuit_Neckline.csv +++ /dev/null @@ -1,7 +0,0 @@ -labelName,join_attr,taskName,taskId -Round,attr_Neckline_1,Neckline,6 -V,attr_Neckline_2,Neckline,6 -Square,attr_Neckline_3,Neckline,6 -One-shoulder,attr_Neckline_4,Neckline,6 -Off-shoulder,attr_Neckline_5,Neckline,6 -Strapless,attr_Neckline_6,Neckline,6 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/6_jumpsuit_Collar.csv b/app/service/attribute_recognition/discriptor/jumpsuit/6_jumpsuit_Collar.csv deleted file mode 100644 index a154c21..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/6_jumpsuit_Collar.csv +++ /dev/null @@ -1,11 +0,0 @@ -labelName,join_attr,taskName,taskId -Peterpan,attr_Collar_J_1,Collar,6 -Shirt,attr_Collar_J_2,Collar,6 -Rib,attr_Collar_J_3,Collar,6 -Turtle,attr_Collar_J_4,Collar,6 -Lapel,attr_Collar_J_5,Collar,6 -Hoodie,attr_Collar_J_6,Collar,6 -Mandarin,attr_Collar_J_7,Collar,6 -Tie,attr_Collar_J_8,Collar,6 -Ruffle,attr_Collar_J_9,Collar,6 -Cowl,attr_Collar_J_10,Collar,6 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/7_jumpsuit_Print.csv b/app/service/attribute_recognition/discriptor/jumpsuit/7_jumpsuit_Print.csv deleted file mode 100644 index 4e3e285..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/7_jumpsuit_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Abstract,attr_Print_J_1,Print,7 -Allover,attr_Print_J_2,Print,7 -Animal,attr_Print_J_3,Print,7 -Camouflage,attr_Print_J_4,Print,7 -Checks,attr_Print_J_5,Print,7 -Color_block,attr_Print_J_6,Print,7 -Disty Print,attr_Print_J_7,Print,7 -Dotted,attr_Print_J_8,Print,7 -Floral,attr_Print_J_9,Print,7 -Graphic Print,attr_Print_J_10,Print,7 -Logo and slogan,attr_Print_J_11,Print,7 -Patchwork,attr_Print_J_12,Print,7 -Plain,attr_Print_J_13,Print,7 -Plain_dnim,attr_Print_J_14,Print,7 -Stripe,attr_Print_J_15,Print,7 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/8_jumpsuit_Material.csv b/app/service/attribute_recognition/discriptor/jumpsuit/8_jumpsuit_Material.csv deleted file mode 100644 index 558e700..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/8_jumpsuit_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -Canvas,attr_Material_J_1,Material,8 -Chambray,attr_Material_J_2,Material,8 -Chenille,attr_Material_J_3,Material,8 -Chiffon,attr_Material_J_4,Material,8 -Corduroy,attr_Material_J_5,Material,8 -Crepe,attr_Material_J_6,Material,8 -Denim,attr_Material_J_7,Material,8 -Faux_fur,attr_Material_J_8,Material,8 -Faux_leather,attr_Material_J_9,Material,8 -Flannel,attr_Material_J_10,Material,8 -Fleece,attr_Material_J_11,Material,8 -Gingham,attr_Material_J_12,Material,8 -Jersey,attr_Material_J_13,Material,8 -Knit,attr_Material_J_14,Material,8 -Lace,attr_Material_J_15,Material,8 -Lawn,attr_Material_J_16,Material,8 -Neoprene,attr_Material_J_17,Material,8 -Organza,attr_Material_J_18,Material,8 -Plush,attr_Material_J_19,Material,8 -Satin,attr_Material_J_20,Material,8 -Serge,attr_Material_J_21,Material,8 -Taffeta,attr_Material_J_22,Material,8 -Tulle,attr_Material_J_23,Material,8 -Tweed,attr_Material_J_24,Material,8 -Twill,attr_Material_J_25,Material,8 -Velvet,attr_Material_J_26,Material,8 -Vinyl,attr_Material_J_27,Material,8 diff --git a/app/service/attribute_recognition/discriptor/jumpsuit/9_jumpsuit_Softness.csv b/app/service/attribute_recognition/discriptor/jumpsuit/9_jumpsuit_Softness.csv deleted file mode 100644 index c1aa4d3..0000000 --- a/app/service/attribute_recognition/discriptor/jumpsuit/9_jumpsuit_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_J_1,Softness,9 -Medium,attr_Softness_J_2,Softness,9 -Hard,attr_Softness_J_3,Softness,9 diff --git a/app/service/attribute_recognition/discriptor/outwear/10_outer_Design.csv b/app/service/attribute_recognition/discriptor/outwear/10_outer_Design.csv deleted file mode 100644 index 61b4cd1..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/10_outer_Design.csv +++ /dev/null @@ -1,19 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_O_1,Design,10 -Tiered,attr_Design_O_2,Design,10 -Tassel,attr_Design_O_3,Design,10 -Ruffles,attr_Design_O_4,Design,10 -Pleated,attr_Design_O_5,Design,10 -Wrap,attr_Design_O_6,Design,10 -Ripped,attr_Design_O_7,Design,10 -Cut out,attr_Design_O_8,Design,10 -Eyelet,attr_Design_O_9,Design,10 -Folded,attr_Design_O_10,Design,10 -Tied,attr_Design_O_11,Design,10 -Drapes,attr_Design_O_12,Design,10 -Ribbon,attr_Design_O_13,Design,10 -Button,attr_Design_O_14,Design,10 -Crossed-over zipper,attr_Design_O_15,Design,10 -Crossed-over button,attr_Design_O_16,Design,10 -Single breasted,attr_Design_O_17,Design,10 -Double breasted,attr_Design_O_18,Design,10 diff --git a/app/service/attribute_recognition/discriptor/outwear/11_outer_opening.csv b/app/service/attribute_recognition/discriptor/outwear/11_outer_opening.csv deleted file mode 100644 index d8c5372..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/11_outer_opening.csv +++ /dev/null @@ -1,3 +0,0 @@ -labelName,join_attr,taskName,taskId -Full,attr_Opening_O_1,Opening_Type,11 -Half,attr_Opening_O_2,Opening_Type,11 diff --git a/app/service/attribute_recognition/discriptor/outwear/12_outer_OPType.csv b/app/service/attribute_recognition/discriptor/outwear/12_outer_OPType.csv deleted file mode 100644 index 3e4ee2c..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/12_outer_OPType.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_O_1,Opening_Type,12 -Zipper,attr_OPType_O_2,Opening_Type,12 -Thread,attr_OPType_O_3,Opening_Type,12 -Hook,attr_OPType_O_4,Opening_Type,12 diff --git a/app/service/attribute_recognition/discriptor/outwear/13_outer_Silhouette.csv b/app/service/attribute_recognition/discriptor/outwear/13_outer_Silhouette.csv deleted file mode 100644 index 7d2c201..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/13_outer_Silhouette.csv +++ /dev/null @@ -1,7 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line,attr_Silhouette_O_1,Silhouette,13 -H Shape,attr_Silhouette_O_2,Silhouette,13 -Slim,attr_Silhouette_O_3,Silhouette,13 -Flyman,attr_Silhouette_O_4,Silhouette,13 -Peplum,attr_Silhouette_O_5,Silhouette,13 -Oversize,attr_Silhouette_O_6,Silhouette,13 diff --git a/app/service/attribute_recognition/discriptor/outwear/1_outer_length.csv b/app/service/attribute_recognition/discriptor/outwear/1_outer_length.csv deleted file mode 100644 index 3784c37..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/1_outer_length.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Short,attr_Outer_length_1,Length,1 -Regular,attr_Outer_length_2,Length,1 -Long,attr_Outer_length_3,Length,1 \ No newline at end of file diff --git a/app/service/attribute_recognition/discriptor/outwear/2_outer_type.csv b/app/service/attribute_recognition/discriptor/outwear/2_outer_type.csv deleted file mode 100644 index 60b6ae5..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/2_outer_type.csv +++ /dev/null @@ -1,18 +0,0 @@ -labelName,join_attr,taskName,taskId -Coat,attr_Outer_type_1,Type,2 -Trench,attr_Outer_type_2,Type,2 -Baseball jacket,attr_Outer_type_3,Type,2 -Hoodie jacket,attr_Outer_type_4,Type,2 -Active jacket,attr_Outer_type_5,Type,2 -Jacket,attr_Outer_type_6,Type,2 -Blazer,attr_Outer_type_7,Type,2 -Cardigan,attr_Outer_type_8,Type,2 -Capes,attr_Outer_type_9,Type,2 -Fleeces Jacket,attr_Outer_type_10,Type,2 -Gilets/Puffer,attr_Outer_type_11,Type,2 -Aviator jacket,attr_Outer_type_12,Type,2 -Biker jacket,attr_Outer_type_13,Type,2 -Pea coat,attr_Outer_type_14,Type,2 -Shacket,attr_Outer_type_15,Type,2 -Denim jacket,attr_Outer_type_16,Type,2 -Raincoat,attr_Outer_type_17,Type,2 diff --git a/app/service/attribute_recognition/discriptor/outwear/3_outer_sleeve_length.csv b/app/service/attribute_recognition/discriptor/outwear/3_outer_sleeve_length.csv deleted file mode 100644 index 8e35b85..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/3_outer_sleeve_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Sleeveless,attr_sleeve_length_1,Sleeve_Length,3 -Short,attr_sleeve_length_2,Sleeve_Length,3 -Middle,attr_sleeve_length_3,Sleeve_Length,3 -Seven,attr_sleeve_length_4,Sleeve_Length,3 -Long,attr_sleeve_length_5,Sleeve_Length,3 diff --git a/app/service/attribute_recognition/discriptor/outwear/4_outer_sleeve_shape.csv b/app/service/attribute_recognition/discriptor/outwear/4_outer_sleeve_shape.csv deleted file mode 100644 index 4e8f770..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/4_outer_sleeve_shape.csv +++ /dev/null @@ -1,9 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_sleeve_shape_O_1,Sleeve_Shape,4 -Slim,attr_sleeve_shape_O_2,Sleeve_Shape,4 -Puff,attr_sleeve_shape_O_3,Sleeve_Shape,4 -Bell,attr_sleeve_shape_O_4,Sleeve_Shape,4 -Batwing,attr_sleeve_shape_O_5,Sleeve_Shape,4 -Shirt,attr_sleeve_shape_O_6,Sleeve_Shape,4 -Rib,attr_sleeve_shape_O_7,Sleeve_Shape,4 -Raglan,attr_sleeve_shape_O_8,Sleeve_Shape,4 diff --git a/app/service/attribute_recognition/discriptor/outwear/5_outer_sleeve_shoulder.csv b/app/service/attribute_recognition/discriptor/outwear/5_outer_sleeve_shoulder.csv deleted file mode 100644 index 3e421d0..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/5_outer_sleeve_shoulder.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_sleeve_shoulder_O_1,Sleeve_Shoulder,5 -Cold,attr_sleeve_shoulder_O_2,Sleeve_Shoulder,5 -Tucked,attr_sleeve_shoulder_O_3,Sleeve_Shoulder,5 -Balmain,attr_sleeve_shoulder_O_4,Sleeve_Shoulder,5 -Drop Shoulder,attr_sleeve_shoulder_O_5,Sleeve_Shoulder,5 diff --git a/app/service/attribute_recognition/discriptor/outwear/6_outer_Collar.csv b/app/service/attribute_recognition/discriptor/outwear/6_outer_Collar.csv deleted file mode 100644 index e261e15..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/6_outer_Collar.csv +++ /dev/null @@ -1,10 +0,0 @@ -labelName,join_attr,taskName,taskId -Peterpan,attr_Callar_O_1,Collar,6 -Shirt,attr_Callar_O_2,Collar,6 -Rib,attr_Callar_O_3,Collar,6 -Turtle,attr_Callar_O_4,Collar,6 -Lapel,attr_Callar_O_5,Collar,6 -Hoodie,attr_Callar_O_6,Collar,6 -Mandarin,attr_Callar_O_7,Collar,6 -Ruffle,attr_Callar_O_8,Collar,6 -Jewel,attr_Callar_O_9,Collar,6 diff --git a/app/service/attribute_recognition/discriptor/outwear/7_outer_Print.csv b/app/service/attribute_recognition/discriptor/outwear/7_outer_Print.csv deleted file mode 100644 index cb5695d..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/7_outer_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Abstract,attr_Print_O_1,Print,7 -Allover,attr_Print_O_2,Print,7 -Animal,attr_Print_O_3,Print,7 -Camouflage,attr_Print_O_4,Print,7 -Checks,attr_Print_O_5,Print,7 -Color_block,attr_Print_O_6,Print,7 -Disty print,attr_Print_O_7,Print,7 -Dotted,attr_Print_O_8,Print,7 -Floral,attr_Print_O_9,Print,7 -Graphic print,attr_Print_O_10,Print,7 -Logo and slogan,attr_Print_O_11,Print,7 -Patchwork,attr_Print_O_12,Print,7 -Plain,attr_Print_O_13,Print,7 -Plain_dnim,attr_Print_O_14,Print,7 -Stripe,attr_Print_O_15,Print,7 diff --git a/app/service/attribute_recognition/discriptor/outwear/8_outer_Material.csv b/app/service/attribute_recognition/discriptor/outwear/8_outer_Material.csv deleted file mode 100644 index 2db5c94..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/8_outer_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -Canvas,attr_Material_O_1,Material,8 -Chambray,attr_Material_O_2,Material,8 -Chenille,attr_Material_O_3,Material,8 -Chiffon,attr_Material_O_4,Material,8 -Corduroy,attr_Material_O_5,Material,8 -Crepe,attr_Material_O_6,Material,8 -Denim,attr_Material_O_7,Material,8 -Faux_fur,attr_Material_O_8,Material,8 -Faux_leather,attr_Material_O_9,Material,8 -Flannel,attr_Material_O_10,Material,8 -Fleece,attr_Material_O_11,Material,8 -Gingham,attr_Material_O_12,Material,8 -Jersey,attr_Material_O_13,Material,8 -Knit,attr_Material_O_14,Material,8 -Lace,attr_Material_O_15,Material,8 -Lawn,attr_Material_O_16,Material,8 -Neoprene,attr_Material_O_17,Material,8 -Organza,attr_Material_O_18,Material,8 -Plush,attr_Material_O_19,Material,8 -Satin,attr_Material_O_20,Material,8 -Serge,attr_Material_O_21,Material,8 -Taffeta,attr_Material_O_22,Material,8 -Tulle,attr_Material_O_23,Material,8 -Tweed,attr_Material_O_24,Material,8 -Twill,attr_Material_O_25,Material,8 -Velvet,attr_Material_O_26,Material,8 -Vinyl,attr_Material_O_27,Material,8 diff --git a/app/service/attribute_recognition/discriptor/outwear/9_outer_Softness.csv b/app/service/attribute_recognition/discriptor/outwear/9_outer_Softness.csv deleted file mode 100644 index 785de6c..0000000 --- a/app/service/attribute_recognition/discriptor/outwear/9_outer_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_O_1,Softness,9 -Medium,attr_Softness_O_2,Softness,9 -Hard,attr_Softness_O_3,Softness,9 diff --git a/app/service/attribute_recognition/discriptor/top/10_top_Design.csv b/app/service/attribute_recognition/discriptor/top/10_top_Design.csv deleted file mode 100644 index 0ee8255..0000000 --- a/app/service/attribute_recognition/discriptor/top/10_top_Design.csv +++ /dev/null @@ -1,15 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_U_1,Design,10 -Tiered,attr_Design_U_2,Design,10 -Tassel,attr_Design_U_3,Design,10 -Ruffle,attr_Design_U_4,Design,10 -Pleated,attr_Design_U_5,Design,10 -Wrap,attr_Design_U_6,Design,10 -Ripped,attr_Design_U_7,Design,10 -Cut out,attr_Design_U_8,Design,10 -Eyelet,attr_Design_U_9,Design,10 -Folded,attr_Design_U_10,Design,10 -Tied,attr_Design_U_11,Design,10 -Drapes,attr_Design_U_12,Design,10 -Ribbon,attr_Design_U_13,Design,10 -Button,attr_Design_U_14,Design,10 diff --git a/app/service/attribute_recognition/discriptor/top/11_top_OPType.csv b/app/service/attribute_recognition/discriptor/top/11_top_OPType.csv deleted file mode 100644 index 870631b..0000000 --- a/app/service/attribute_recognition/discriptor/top/11_top_OPType.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_U_1,Opening_Type,11 -Zipper,attr_OPType_U_2,Opening_Type,11 -Thread,attr_OPType_U_3,Opening_Type,11 -Hook,attr_OPType_U_4,Opening_Type,11 diff --git a/app/service/attribute_recognition/discriptor/top/12_top_Silhouette.csv b/app/service/attribute_recognition/discriptor/top/12_top_Silhouette.csv deleted file mode 100644 index 49c7db5..0000000 --- a/app/service/attribute_recognition/discriptor/top/12_top_Silhouette.csv +++ /dev/null @@ -1,7 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line,attr_Silhouette_U_1,Silhouette,12 -H Shape,attr_Silhouette_U_2,Silhouette,12 -Slim,attr_Silhouette_U_3,Silhouette,12 -Flyman,attr_Silhouette_U_4,Silhouette,12 -Peplum,attr_Silhouette_U_5,Silhouette,12 -Oversize,attr_Silhouette_U_6,Silhouette,12 diff --git a/app/service/attribute_recognition/discriptor/top/1_top_length.csv b/app/service/attribute_recognition/discriptor/top/1_top_length.csv deleted file mode 100644 index 49903cc..0000000 --- a/app/service/attribute_recognition/discriptor/top/1_top_length.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Short,attr_Top_length_1,Length,1 -Regular,attr_Top_length_2,Length,1 -Long,attr_Top_length_3,Length,1 diff --git a/app/service/attribute_recognition/discriptor/top/2_top_type.csv b/app/service/attribute_recognition/discriptor/top/2_top_type.csv deleted file mode 100644 index 01cc5e0..0000000 --- a/app/service/attribute_recognition/discriptor/top/2_top_type.csv +++ /dev/null @@ -1,15 +0,0 @@ -labelName,join_attr,taskName,taskId -Bandeau,attr_toptype_1,Type,2 -Blouse,attr_toptype_2,Type,2 -Bodysuit,attr_toptype_3,Type,2 -Bralets,attr_toptype_4,Type,2 -Camisole,attr_toptype_5,Type,2 -Crop Top,attr_toptype_6,Type,2 -Hoodie,attr_toptype_7,Type,2 -Pullover,attr_toptype_8,Type,2 -Polo shirt,attr_toptype_9,Type,2 -Shirt,attr_toptype_10,Type,2 -strapeless,attr_toptype_11,Type,2 -Sweater,attr_toptype_12,Type,2 -Tank Top,attr_toptype_13,Type,2 -T-shirt,attr_toptype_14,Type,2 diff --git a/app/service/attribute_recognition/discriptor/top/3_top_Sleeve_length.csv b/app/service/attribute_recognition/discriptor/top/3_top_Sleeve_length.csv deleted file mode 100644 index 1f2a0f3..0000000 --- a/app/service/attribute_recognition/discriptor/top/3_top_Sleeve_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Sleeveless,attr_Sleeve_length_1,Sleeve_Length,3 -Short,attr_Sleeve_length_2,Sleeve_Length,3 -Middle,attr_Sleeve_length_3,Sleeve_Length,3 -Seven,attr_Sleeve_length_4,Sleeve_Length,3 -Long,attr_Sleeve_length_5,Sleeve_Length,3 diff --git a/app/service/attribute_recognition/discriptor/top/4_top_Sleeve_shape.csv b/app/service/attribute_recognition/discriptor/top/4_top_Sleeve_shape.csv deleted file mode 100644 index d429c11..0000000 --- a/app/service/attribute_recognition/discriptor/top/4_top_Sleeve_shape.csv +++ /dev/null @@ -1,9 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shape_1,Sleeve_Shape,4 -Slim,attr_Sleeve_shape_2,Sleeve_Shape,4 -Puff,attr_Sleeve_shape_3,Sleeve_Shape,4 -Bell,attr_Sleeve_shape_4,Sleeve_Shape,4 -Batwing,attr_Sleeve_shape_5,Sleeve_Shape,4 -Shirt,attr_Sleeve_shape_6,Sleeve_Shape,4 -Rib,attr_Sleeve_shape_7,Sleeve_Shape,4 -Raglan,attr_Sleeve_shape_8,Sleeve_Shape,4 diff --git a/app/service/attribute_recognition/discriptor/top/5_top_Sleeve_shoulder.csv b/app/service/attribute_recognition/discriptor/top/5_top_Sleeve_shoulder.csv deleted file mode 100644 index c31e7ea..0000000 --- a/app/service/attribute_recognition/discriptor/top/5_top_Sleeve_shoulder.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shoulder_1,Sleeve_Shoulder,5 -Cold,attr_Sleeve_shoulder_2,Sleeve_Shoulder,5 -Tucked,attr_Sleeve_shoulder_3,Sleeve_Shoulder,5 -Balmain,attr_Sleeve_shoulder_4,Sleeve_Shoulder,5 diff --git a/app/service/attribute_recognition/discriptor/top/6_top_Neckline.csv b/app/service/attribute_recognition/discriptor/top/6_top_Neckline.csv deleted file mode 100644 index 30c1420..0000000 --- a/app/service/attribute_recognition/discriptor/top/6_top_Neckline.csv +++ /dev/null @@ -1,7 +0,0 @@ -labelName,join_attr,taskName,taskId -Round,attr_Neckline_1,Neckline,6 -V,attr_Neckline_2,Neckline,6 -Square,attr_Neckline_3,Neckline,6 -One-shoulder,attr_Neckline_4,Neckline,6 -Off-shoulder,attr_Neckline_5,Neckline,6 -Strapless,attr_Neckline_6,Neckline,6 diff --git a/app/service/attribute_recognition/discriptor/top/7_outer_Print.csv b/app/service/attribute_recognition/discriptor/top/7_outer_Print.csv deleted file mode 100644 index cb5695d..0000000 --- a/app/service/attribute_recognition/discriptor/top/7_outer_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Abstract,attr_Print_O_1,Print,7 -Allover,attr_Print_O_2,Print,7 -Animal,attr_Print_O_3,Print,7 -Camouflage,attr_Print_O_4,Print,7 -Checks,attr_Print_O_5,Print,7 -Color_block,attr_Print_O_6,Print,7 -Disty print,attr_Print_O_7,Print,7 -Dotted,attr_Print_O_8,Print,7 -Floral,attr_Print_O_9,Print,7 -Graphic print,attr_Print_O_10,Print,7 -Logo and slogan,attr_Print_O_11,Print,7 -Patchwork,attr_Print_O_12,Print,7 -Plain,attr_Print_O_13,Print,7 -Plain_dnim,attr_Print_O_14,Print,7 -Stripe,attr_Print_O_15,Print,7 diff --git a/app/service/attribute_recognition/discriptor/top/7_top_Collar.csv b/app/service/attribute_recognition/discriptor/top/7_top_Collar.csv deleted file mode 100644 index a30c014..0000000 --- a/app/service/attribute_recognition/discriptor/top/7_top_Collar.csv +++ /dev/null @@ -1,11 +0,0 @@ -labelName,join_attr,taskName,taskId -Peterpan,attr_Collar_1,Collar,7 -Shirt,attr_Collar_2,Collar,7 -Rib,attr_Collar_3,Collar,7 -Turtle,attr_Collar_4,Collar,7 -Lapel,attr_Collar_5,Collar,7 -Hoodie,attr_Collar_6,Collar,7 -Mandarin,attr_Collar_7,Collar,7 -Tie,attr_Collar_8,Collar,7 -Ruffle,attr_Collar_9,Collar,7 -Cowl,attr_Collar_10,Collar,7 diff --git a/app/service/attribute_recognition/discriptor/top/8_outer_Material.csv b/app/service/attribute_recognition/discriptor/top/8_outer_Material.csv deleted file mode 100644 index 2db5c94..0000000 --- a/app/service/attribute_recognition/discriptor/top/8_outer_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -Canvas,attr_Material_O_1,Material,8 -Chambray,attr_Material_O_2,Material,8 -Chenille,attr_Material_O_3,Material,8 -Chiffon,attr_Material_O_4,Material,8 -Corduroy,attr_Material_O_5,Material,8 -Crepe,attr_Material_O_6,Material,8 -Denim,attr_Material_O_7,Material,8 -Faux_fur,attr_Material_O_8,Material,8 -Faux_leather,attr_Material_O_9,Material,8 -Flannel,attr_Material_O_10,Material,8 -Fleece,attr_Material_O_11,Material,8 -Gingham,attr_Material_O_12,Material,8 -Jersey,attr_Material_O_13,Material,8 -Knit,attr_Material_O_14,Material,8 -Lace,attr_Material_O_15,Material,8 -Lawn,attr_Material_O_16,Material,8 -Neoprene,attr_Material_O_17,Material,8 -Organza,attr_Material_O_18,Material,8 -Plush,attr_Material_O_19,Material,8 -Satin,attr_Material_O_20,Material,8 -Serge,attr_Material_O_21,Material,8 -Taffeta,attr_Material_O_22,Material,8 -Tulle,attr_Material_O_23,Material,8 -Tweed,attr_Material_O_24,Material,8 -Twill,attr_Material_O_25,Material,8 -Velvet,attr_Material_O_26,Material,8 -Vinyl,attr_Material_O_27,Material,8 diff --git a/app/service/attribute_recognition/discriptor/top/9_top_Softness.csv b/app/service/attribute_recognition/discriptor/top/9_top_Softness.csv deleted file mode 100644 index dc8b5f0..0000000 --- a/app/service/attribute_recognition/discriptor/top/9_top_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_U_1,Softness,9 -Medium,attr_Softness_U_2,Softness,9 -Hard,attr_Softness_U_3,Softness,9 diff --git a/app/service/attribute_recognition/discriptor/top/ori10_top_Softness.csv b/app/service/attribute_recognition/discriptor/top/ori10_top_Softness.csv deleted file mode 100644 index 6f24145..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori10_top_Softness.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Soft,attr_Softness_U_1,Softness,10 -Medium,attr_Softness_U_2,Softness,10 -Hard,attr_Softness_U_3,Softness,10 diff --git a/app/service/attribute_recognition/discriptor/top/ori11_top_Design.csv b/app/service/attribute_recognition/discriptor/top/ori11_top_Design.csv deleted file mode 100644 index deb9395..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori11_top_Design.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Asymmetrical,attr_Design_U_1,Design,11 -Tiered,attr_Design_U_2,Design,11 -Tassel,attr_Design_U_3,Design,11 -Ruffle,attr_Design_U_4,Design,11 -Pleated,attr_Design_U_5,Design,11 -Wrap,attr_Design_U_6,Design,11 -Ripped,attr_Design_U_7,Design,11 -Cut out,attr_Design_U_8,Design,11 -Eyelet,attr_Design_U_9,Design,11 -Folded,attr_Design_U_10,Design,11 -Tied,attr_Design_U_11,Design,11 -Drapes,attr_Design_U_12,Design,11 -Ribbon,attr_Design_U_13,Design,11 -Button,attr_Design_U_14,Design,11 -Gathering,attr_Design_U_15,Design,11 diff --git a/app/service/attribute_recognition/discriptor/top/ori12_top_OPType.csv b/app/service/attribute_recognition/discriptor/top/ori12_top_OPType.csv deleted file mode 100644 index 98e65c6..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori12_top_OPType.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Button,attr_OPType_U_1,Opening_Type,12 -Zipper,attr_OPType_U_2,Opening_Type,12 -Thread,attr_OPType_U_3,Opening_Type,12 -Hook,attr_OPType_U_4,Opening_Type,12 diff --git a/app/service/attribute_recognition/discriptor/top/ori13_top_Silhouette.csv b/app/service/attribute_recognition/discriptor/top/ori13_top_Silhouette.csv deleted file mode 100644 index a746198..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori13_top_Silhouette.csv +++ /dev/null @@ -1,7 +0,0 @@ -labelName,join_attr,taskName,taskId -A Line,attr_Silhouette_U_1,Silhouette,13 -H Shape,attr_Silhouette_U_2,Silhouette,13 -Slim,attr_Silhouette_U_3,Silhouette,13 -Flyman,attr_Silhouette_U_4,Silhouette,13 -Peplum,attr_Silhouette_U_5,Silhouette,13 -Oversize,attr_Silhouette_U_6,Silhouette,13 diff --git a/app/service/attribute_recognition/discriptor/top/ori1_Top_length.csv b/app/service/attribute_recognition/discriptor/top/ori1_Top_length.csv deleted file mode 100644 index 49903cc..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori1_Top_length.csv +++ /dev/null @@ -1,4 +0,0 @@ -labelName,join_attr,taskName,taskId -Short,attr_Top_length_1,Length,1 -Regular,attr_Top_length_2,Length,1 -Long,attr_Top_length_3,Length,1 diff --git a/app/service/attribute_recognition/discriptor/top/ori2_Top_type.csv b/app/service/attribute_recognition/discriptor/top/ori2_Top_type.csv deleted file mode 100644 index cf60dbb..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori2_Top_type.csv +++ /dev/null @@ -1,15 +0,0 @@ -labelName,join_attr,taskName,taskId -Blouse,attr_Top_type_1,Type,2 -Camisole,attr_Top_type_2,Type,2 -Shirt,attr_Top_type_3,Type,2 -T-shirt,attr_Top_type_4,Type,2 -Jumper-Pullover,attr_Top_type_5,Type,2 -Hoodie,attr_Top_type_6,Type,2 -Tank Top,attr_Top_type_7,Type,2 -Polo shirt,attr_Top_type_8,Type,2 -Crop Top,attr_Top_type_9,Type,2 -Bralets,attr_Top_type_10,Type,2 -Bodysuit,attr_Top_type_11,Type,2 -Bandeau,attr_Top_type_12,Type,2 -Sweater,attr_Top_type_13,Type,2 -Strapless,attr_Top_type_14,Type,2 diff --git a/app/service/attribute_recognition/discriptor/top/ori3_top_Sleeve_length.csv b/app/service/attribute_recognition/discriptor/top/ori3_top_Sleeve_length.csv deleted file mode 100644 index 3549164..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori3_top_Sleeve_length.csv +++ /dev/null @@ -1,6 +0,0 @@ -labelName,join_attr,taskName,taskId -Sleeveless,attr_Sleeve_length_U_1,Sleeve_Length,3 -Short,attr_Sleeve_length_U_2,Sleeve_Length,3 -Middle,attr_Sleeve_length_U_3,Sleeve_Length,3 -Seven,attr_Sleeve_length_U_4,Sleeve_Length,3 -Long,attr_Sleeve_length_U_5,Sleeve_Length,3 diff --git a/app/service/attribute_recognition/discriptor/top/ori4_top_Sleeve_shape.csv b/app/service/attribute_recognition/discriptor/top/ori4_top_Sleeve_shape.csv deleted file mode 100644 index 15517c5..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori4_top_Sleeve_shape.csv +++ /dev/null @@ -1,9 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shape_U_1,Sleeve_Shape,4 -Slim,attr_Sleeve_shape_U_2,Sleeve_Shape,4 -Puff,attr_Sleeve_shape_U_3,Sleeve_Shape,4 -Bell,attr_Sleeve_shape_U_4,Sleeve_Shape,4 -Batwing,attr_Sleeve_shape_U_5,Sleeve_Shape,4 -Shirt,attr_Sleeve_shape_U_6,Sleeve_Shape,4 -Rib,attr_Sleeve_shape_U_7,Sleeve_Shape,4 -Raglan,attr_Sleeve_shape_U_8,Sleeve_Shape,4 diff --git a/app/service/attribute_recognition/discriptor/top/ori5_top_Sleeve_shoulder.csv b/app/service/attribute_recognition/discriptor/top/ori5_top_Sleeve_shoulder.csv deleted file mode 100644 index 9a051a1..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori5_top_Sleeve_shoulder.csv +++ /dev/null @@ -1,5 +0,0 @@ -labelName,join_attr,taskName,taskId -Regular,attr_Sleeve_shoulder_U_1,Sleeve_Shoulder,5 -Cold,attr_Sleeve_shoulder_U_2,Sleeve_Shoulder,5 -Tucked,attr_Sleeve_shoulder_U_3,Sleeve_Shoulder,5 -Balmain,attr_Sleeve_shoulder_U_4,Sleeve_Shoulder,5 diff --git a/app/service/attribute_recognition/discriptor/top/ori6_top_Neckline.csv b/app/service/attribute_recognition/discriptor/top/ori6_top_Neckline.csv deleted file mode 100644 index bb6dc62..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori6_top_Neckline.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -Round,attr_Neckline_U_1,Neckline,6 -V,attr_Neckline_U_2,Neckline,6 -Square,attr_Neckline_U_3,Neckline,6 -One-shoulder,attr_Neckline_U_4,Neckline,6 -Off-shoulder,attr_Neckline_U_5,Neckline,6 -Strapless,attr_Neckline_U_6,Neckline,6 -boat,attr_Neckline_U_7,Neckline,6 -choker,attr_Neckline_U_8,Neckline,6 -cowl,attr_Neckline_U_9,Neckline,6 -halter,attr_Neckline_U_10,Neckline,6 -keyhole,attr_Neckline_U_11,Neckline,6 -spaghetti,attr_Neckline_U_12,Neckline,6 -split,attr_Neckline_U_13,Neckline,6 -sweetheart,attr_Neckline_U_14,Neckline,6 -U,attr_Neckline_U_15,Neckline,6 diff --git a/app/service/attribute_recognition/discriptor/top/ori7_top_Collar.csv b/app/service/attribute_recognition/discriptor/top/ori7_top_Collar.csv deleted file mode 100644 index 1c9f028..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori7_top_Collar.csv +++ /dev/null @@ -1,11 +0,0 @@ -labelName,join_attr,taskName,taskId -Peterpan-Bertha,attr_Collar_U_1,Collar,7 -Shirt,attr_Collar_U_2,Collar,7 -Rib,attr_Collar_U_3,Collar,7 -Turtle,attr_Collar_U_4,Collar,7 -Lapel,attr_Collar_U_5,Collar,7 -Hoodie,attr_Collar_U_6,Collar,7 -Mandarin,attr_Collar_U_7,Collar,7 -Tie,attr_Collar_U_8,Collar,7 -Ruffle,attr_Collar_U_9,Collar,7 -Cowl,attr_Collar_U_10,Collar,7 diff --git a/app/service/attribute_recognition/discriptor/top/ori8_top_Print.csv b/app/service/attribute_recognition/discriptor/top/ori8_top_Print.csv deleted file mode 100644 index 9eeeb2c..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori8_top_Print.csv +++ /dev/null @@ -1,16 +0,0 @@ -labelName,join_attr,taskName,taskId -abstract,attr_Print_U_1,Print,8 -allover,attr_Print_U_2,Print,8 -animal printed,attr_Print_U_3,Print,8 -Camouflage,attr_Print_U_4,Print,8 -checks,attr_Print_U_5,Print,8 -color_block,attr_Print_U_6,Print,8 -disty print,attr_Print_U_7,Print,8 -dotted,attr_Print_U_8,Print,8 -floral,attr_Print_U_9,Print,8 -graphic print,attr_Print_U_10,Print,8 -logo and slogan print,attr_Print_U_11,Print,8 -patchwork,attr_Print_U_12,Print,8 -plain,attr_Print_U_13,Print,8 -plain_dnim,attr_Print_U_14,Print,8 -stripe,attr_Print_U_15,Print,8 diff --git a/app/service/attribute_recognition/discriptor/top/ori9_top_Material.csv b/app/service/attribute_recognition/discriptor/top/ori9_top_Material.csv deleted file mode 100644 index 795c3c9..0000000 --- a/app/service/attribute_recognition/discriptor/top/ori9_top_Material.csv +++ /dev/null @@ -1,28 +0,0 @@ -labelName,join_attr,taskName,taskId -canvas,attr_Material_U_1,Material,9 -chambray,attr_Material_U_2,Material,9 -chenille,attr_Material_U_3,Material,9 -chiffon,attr_Material_U_4,Material,9 -corduroy,attr_Material_U_5,Material,9 -crepe,attr_Material_U_6,Material,9 -denim,attr_Material_U_7,Material,9 -faux_fur,attr_Material_U_8,Material,9 -faux_leather,attr_Material_U_9,Material,9 -flannel,attr_Material_U_10,Material,9 -fleece,attr_Material_U_11,Material,9 -gingham,attr_Material_U_12,Material,9 -jersey,attr_Material_U_13,Material,9 -knit,attr_Material_U_14,Material,9 -lace,attr_Material_U_15,Material,9 -lawn,attr_Material_U_16,Material,9 -neoprene,attr_Material_U_17,Material,9 -organza,attr_Material_U_18,Material,9 -plush,attr_Material_U_19,Material,9 -satin,attr_Material_U_20,Material,9 -serge,attr_Material_U_21,Material,9 -taffeta,attr_Material_U_22,Material,9 -tulle,attr_Material_U_23,Material,9 -tweed,attr_Material_U_24,Material,9 -twill,attr_Material_U_25,Material,9 -velvet,attr_Material_U_26,Material,9 -vinyl,attr_Material_U_27,Material,9 diff --git a/app/service/attribute_recognition/service.py b/app/service/attribute_recognition/service.py deleted file mode 100644 index 5ca5927..0000000 --- a/app/service/attribute_recognition/service.py +++ /dev/null @@ -1,215 +0,0 @@ -import datetime -from pprint import pprint - -import mmcv -import cv2 -import numpy as np -import requests -import torch -import tritonclient.http as httpclient -from PIL import Image -from skimage import transform -from torchvision import transforms -import pandas as pd -from minio import Minio - -from app.core.config import MINIO_IP, MINIO_PORT, MINIO_SECURE, MINIO_ACCESS, MINIO_SECRET, ATT_TRITON_IP, ATT_TRITON_PORT - - -def Merge(dict1, dict2): - res = {**dict1, **dict2} - return res - - -class Rescale(object): - """Rescale the image in a sample to a given size. - - Args: - output_size (tuple or int): Desired output size. If tuple, output is - matched to output_size. If int, smaller of image edges is matched - to output_size keeping aspect ratio the same. - """ - - def __init__(self, output_size): - assert isinstance(output_size, (int, tuple)) - self.output_size = output_size - - def __call__(self, image, landmarks): - h, w = image.shape[:2] - if isinstance(self.output_size, int): - if h > w: - new_h, new_w = self.output_size * h / w, self.output_size - else: - new_h, new_w = self.output_size, self.output_size * w / h - else: - new_h, new_w = self.output_size - - new_h, new_w = int(new_h), int(new_w) - img = transform.resize(image, (new_h, new_w), mode='constant') - # h and w are swapped for landmarks because for images, - # x and y axes are axis 1 and 0 respectively - landmarks = landmarks * [new_w / w, new_h / h] - return img, landmarks - - -class AttributeRecognition: - def __init__(self): - self.httpclient = httpclient.InferenceServerClient(url=f"{ATT_TRITON_IP}:{ATT_TRITON_PORT}") - self.minio_client = Minio( - f"{MINIO_IP}:{MINIO_PORT}", - access_key=MINIO_ACCESS, - secret_key=MINIO_SECRET, - secure=MINIO_SECURE) - - def get_image(self, url): - # Get data of an object. - # Read data from response. - response = self.minio_client.get_object(url.split("/", 1)[0], url.split("/", 1)[1]) - img = np.frombuffer(response.data, np.uint8) # 转成8位无符号整型 - img = cv2.imdecode(img, cv2.IMREAD_COLOR) # 解码 - img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) - return img - - def preprocess(self, img_url): - img = self.get_image(img_url) - img = mmcv.imread(img) - ori_shape = img.shape[:2] - img_scale = (224, 224) - scale_factor = [] - img, x, y = mmcv.imresize(img, img_scale, return_scale=True) - scale_factor.append(x) - scale_factor.append(y) - img = mmcv.imnormalize(img, mean=np.array([123.675, 116.28, 103.53]), std=np.array([58.395, 57.12, 57.375]), to_rgb=True) - preprocessed_img = np.expand_dims(img.transpose(2, 0, 1), axis=0) - return preprocessed_img - - def attribute(self, args, request_data): - - final_dict = {} - - for l in range(len(request_data.upload_img_path)): - img_path = request_data.upload_img_path[l] - sample = self.preprocess(img_path) - category_model_path = args.category_model - category_description = args.category_discription - category_list = self.get_attribute(category_model_path, category_description, sample)['category'] - - if len(category_list) >= 1: - category = category_list[0] - print(category) - - if category == 'top': - attr_dict = {'Item': category} - for i in range(len(args.top_discription_list)): - # print('top: ', i) - attr_description = args.top_discription_list[i] - attr_model_path = args.top_model_list[i] - present_dict = self.get_attribute(attr_model_path, attr_description, sample) - attr_dict = Merge(attr_dict, present_dict) - - elif category == 'pants': - attr_dict = {} - category = 'bottom' - attr_dict['Item'] = category - attr_dict['BTM_Type'] = ['Pants'] - for i in range(len(args.bottom_discription_list)): - attr_description = args.bottom_discription_list[i] - attr_model_path = args.bottom_model_list[i] - present_dict = self.get_attribute(attr_model_path, attr_description, sample) - attr_dict = Merge(attr_dict, present_dict) - - elif category == 'skirt': - attr_dict = {'BTM_Type': ['Skirt']} - category = 'bottom' - attr_dict['Item'] = category - for i in range(len(args.bottom_discription_list)): - attr_description = args.bottom_discription_list[i] - attr_model_path = args.bottom_model_list[i] - present_dict = self.get_attribute(attr_model_path, attr_description, sample) - attr_dict = Merge(attr_dict, present_dict) - - elif category == 'dress': - attr_dict = {'Item': category} - for i in range(len(args.dress_discription_list)): - attr_description = args.dress_discription_list[i] - attr_model_path = args.dress_model_list[i] - present_dict = self.get_attribute(attr_model_path, attr_description, sample) - attr_dict = Merge(attr_dict, present_dict) - - elif category == 'outwear': - attr_dict = {'Item': 'outer'} - - for i in range(len(args.outwear_discription_list)): - attr_description = args.outwear_discription_list[i] - attr_model_path = args.outwear_model_list[i] - present_dict = self.get_attribute(attr_model_path, attr_description, sample) - attr_dict = Merge(attr_dict, present_dict) - - elif category == 'jumpsuit': - attr_dict = {'Item': 'jumpsuit'} - for i in range(len(args.jumpsuit_discription_list)): - attr_description = args.jumpsuit_discription_list[i] - attr_model_path = args.jumpsuit_model_list[i] - present_dict = self.get_attribute(attr_model_path, attr_description, sample) - attr_dict = Merge(attr_dict, present_dict) - else: - attr_dict = {} - - print('attr_dict: ', attr_dict) - final_dict[request_data.upload_img_id[l]] = attr_dict - return final_dict - - def get_attribute(self, model_name, description, image): - attr_type = pd.read_csv(description) - inputs = [ - httpclient.InferInput("input__0", image.shape, datatype="FP32") - ] - inputs[0].set_data_from_numpy(image, binary_data=True) - results = self.httpclient.infer(model_name=model_name, inputs=inputs) - inference_output = torch.from_numpy(results.as_numpy(f"output__0")) - scores = inference_output.detach().numpy() - colattr = list(attr_type['labelName']) - task = attr_type['taskName'][0] - if task == 'category': - print(scores, type(scores)) - maxsc = np.max(scores) - if maxsc > 0: - indexs = np.argwhere(scores == maxsc)[:, 1] - else: - attr = {'category': []} - return attr - elif task[:-2] == 'Print' or task[:-2] == 'Material': - # maxsc = np.max(scores) - scores[scores > 0] = 1 - scores[scores <= 0] = 0 - indexs = np.argwhere(scores == 1)[:, 1] - # if maxsc> 0: - # indexs = np.argwhere(scores == maxsc)[:,1] - - else: - maxsc = np.max(scores) - print(maxsc) - if maxsc > 0: - indexs = np.argwhere(scores == maxsc)[:, 1] - else: - indexs = [] - # scores[scores > 0] = 1 - # scores[scores <= 0] = 0 - # indexs = np.argwhere(scores == 1)[:,1] - - attr = {} - attr[task] = [] - for i in range(len(indexs)): - # print('i and indexs: ', i, indexs, indexs[i], type(indexs[i]), colattr[indexs[i]]) - atr = colattr[indexs[i]] - # print('corresponeding atr: ', atr) - attr[task].append(atr) - return attr - - -if __name__ == '__main__': - from app.service.attribute_recognition import const_debug - - request_data = {'upload_img_path': ['./test_top1.jpg'], 'upload_img_id': ["2"]} - service = AttributeRecognition() - pprint(service.attribute(const_debug, request_data)) diff --git a/app/service/outfit_matcher/__init__.py b/app/service/outfit_matcher/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/app/service/outfit_matcher/color/MKTS27000.npy b/app/service/outfit_matcher/color/MKTS27000.npy deleted file mode 100644 index 61b0cbc9c4e8b110a2754799fa22f8e12b316d95..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 328 zcmbR27wQ`j$;eQ~P_3SlTAW;@Zl$1ZlV+i=qoAIaUsO_*m=~X4l#&V(cT3DEP6dh= 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index 9c3c12a..0000000 --- a/app/service/outfit_matcher/config/fashion_categories.json +++ /dev/null @@ -1,242 +0,0 @@ -[ - "ACCECSSORY/BAG", - "ACCECSSORY/HAT", - "ACCESSORY/ACCESSORY", - "ACCESSORY/BAG", - "ACCESSORY/BELT", - "ACCESSORY/BOOTS", - "ACCESSORY/BANGLE", - "ACCESSORY/COMBO SET", - "ACCESSORY/BRACELET", - "ACCESSORY/BRA TOP", - "ACCESSORY/BIB", - "ACCESSORY/GIFT", - "ACCESSORY/FESTIVAL SET", - "ACCESSORY/CAPE", - "ACCESSORY/BLANKET", - "ACCESSORY/HAIR BAND", - "ACCESSORY/GLOVES", - "ACCESSORY/FUR SCARF", - "ACCESSORY/BROOCH", - "ACCESSORY/HAT", - "ACCESSORY/HAIR CLIPS", - "ACCESSORY/SCARF", - "ACCESSORY/CLIP", - "ACCESSORY/HEAD BAND", - "ACCESSORY/NECKLACE", - "ACCESSORY/SOCKS", - "ACCESSORY/EARING", - "ACCESSORY/KEYRING", - "ACCESSORY/OTHERS", - "ACCESSORY/TOY", - "ACCESSORY/HAIR CLIP", - "ACCESSORY/RING", - "ACCESSORY/SANDALS", - "ACCESSORY/SUN GLASS", - "ACCESSORY/MASK", - "ACCESSORY/Test Kit", - "ACCESSORY/MUG", - "ACCESSORY/TOWEL", - "ACCESSORY/SCARF TOP", - "ACCESSORY/SHOES", - "ACCESSORY/SWIMSUIT", - "ACCESSORY/TIE", - "BOTTOM/BOTTOM", - "BOTTOM/CAPRI", - "BOTTOM/", - "BOTTOM/COAT", - "BOTTOM/CARDIGAN", - "BOTTOM/JEANS SHORTS", - "BOTTOM/BOOTS", - "BOTTOM/JEANS", - "BOTTOM/CARPI", - "BOTTOM/JUMPSUIT", - "BOTTOM/JEANS SKIRT", - "BOTTOM/JEANS CARPI", - "BOTTOM/JACKET", - "BOTTOM/LEATHER JACKET", - "BOTTOM/LEATHER PANTS", - "BOTTOM/JEANS PANTS", - "BOTTOM/PANTS", - "BOTTOM/LEATHER SHORTS", - "BOTTOM/LEATHER SKIRT", - "BOTTOM/OVERALL", - "BOTTOM/SHORTS", - "BOTTOM/LEGGING", - "BOTTOM/UNDERWEAR", - "BOTTOM/SKIRT", - "BOTTOM/TUTA", - "BOTTOM/SANDALS", - "BOTTOM/TEE", - "BOTTOM/SHOES", - "BOTTOM/SPORTSWEAR PANTS", - "BOTTON/PANTS", - "DRESS/JEANS JACKET", - "DRESS/", - "DRESS/ONE PIECE", - "DRESS/DRESS", - "DRESS/LEATHER DRESS", - "DRESS/JEANS SKIRT", - "DRESS/OVERALL", - "DRESS/EVENING DRESS", - "DRESS/SKIRT", - "DRESS/LEATHER SKIRT", - "DRESS/JEANS DRESS", - "DRESS/SHORTS", - "DRESS/JUMPSUIT", - "DRESS/VEST", - "DRESS/SHIRT", - "DRESS/TUTA", - "FUR/DOWN COAT", - "FUR/HAT", - "FUR/FUR CAPE", - "FUR/FUR COAT", - "FUR/FUR DOWN JACKET", - "FUR/FUR GILET", - "FUR/FUR CARDIGAN", - "FUR/FUR JACKET", - "FUR/FUR HAT", - "FUR/FUR SCARF", - "FUR/FUR VEST", - "GIFT/GIFT", - "GIFT/SCARF", - "JEANS/GILET", - "JEANS/JEANS CARPI", - "JEANS/DRESS", - "JEANS/JEANS BLOUSE", - "JEANS/JEANS", - "JEANS/JEANS OVERALL", - "JEANS/JEANS BLAZER", - "JEANS/JEANS DRESS", - "JEANS/SHIRT", - "JEANS/JEANS SHORTS", - "JEANS/JEANS GILET", - "JEANS/JEANS JACKET", - "JEANS/SKIRT", - "JEANS/TWIN SET", - "JEANS/JEANS PANTS", - "JEANS/JEANS SHIRT", - "JEANS/JEANS SKIRT", - "JEANS/JEANS VEST", - "JEANS/JEANS TOP", - "JEANS/OVERALL", - "JEANS/PANTS", - "JEANS/SHORTS", - "KNIT/CARDGAIN", - "KNIT/ONE PIECE", - "KNIT/CARDIGAN", - "KNIT/BRA TOP", - "KNIT/JACKET", - "KNIT/PULLOVER", - "KNIT/DRESS", - "KNIT/CAPE", - "KNIT/KNIT TOP", - "KNIT/CARDGIAN", - "KNIT/PANTS", - "KNIT/GILET", - "KNIT/LONG TOP", - "KNIT/SKIRT", - "KNIT/SHORTS", - "KNIT/SWEATER", - "KNIT/SWEATPR", - "KNIT/VEST", - "KNIT/TANK", - "KNIT/TOP", - "KNIT/TUTA", - "KNIT/TWIN SET", - "LEATHER/BLAZER", - "LEATHER/LEATHER BLAZER", - "LEATHER/LEATHER COAT", - "LEATHER/LEATHER PANTS", - "LEATHER/HAT", - "LEATHER/LEATHER BLOUSE", - "LEATHER/LEATHER DRESS", - "LEATHER/LEATHER SHORTS", - "LEATHER/LEATHER SKIRT", - "LEATHER/LEATHER GILET", - "LEATHER/LEATHER JACKET", - "LEATHER/LEATHER VEST", - "LEATHER/LEATHERSKIRT", - "LEATHER/LEATHERSHIRT", - "LEATHER/LEATHER TOP", - "ONE PIECE/BODYSUIT", - "ONE PIECE/COMBO SET", - "ONE PIECE/BODY", - "ONE PIECE/JUMPSUIT", - "ONE PIECE/DRESS", - "ONE PIECE/OVERALL", - "ONE PIECE/SWIMSUIT", - "ONE PIECE/TWIN SET", - "OUTERWEAR/CARDIGAN", - "OUTERWEAR/BLAZER", - "OUTERWEAR/DOWN COAT", - "OUTERWEAR/", - "OUTERWEAR/DOWN JACKET", - "OUTERWEAR/COAT", - "OUTERWEAR/DOWN GILET", - "OUTERWEAR/CAPE", - "OUTERWEAR/DOWN VEST", - "OUTERWEAR/FUR JACKET", - "OUTERWEAR/FUR VEST", - "OUTERWEAR/CAPE COAT", - "OUTERWEAR/LEATHER VEST", - "OUTERWEAR/PULLOVER", - "OUTERWEAR/GILET", - "OUTERWEAR/FUR COAT", - "OUTERWEAR/QUILTED JACKET", - "OUTERWEAR/SPORTSWEAR JACKET", - "OUTERWEAR/JACKET", - "OUTERWEAR/FUR GILET", - "OUTERWEAR/SHIRT", - "OUTERWEAR/TWIN SET", - "OUTERWEAR/LEATHER GILET", - "OUTERWEAR/JEANS JACKET", - "OUTERWEAR/TRENCH COAT", - "OUTERWEAR/LEATHER COAT", - "OUTERWEAR/ONE PIECE", - "OUTERWEAR/LEATHER JACKET", - "OUTERWEAR/SCARF", - "OUTERWEAR/SOCKS", - "OUTERWEAR/TOP", - "OUTERWEAR/UNIFORM", - "OUTERWEAR/VEST", - "OUTERWEAR/WINDBREAKER", - "OUTERWEAR/WINDERBREAKER", - "OUTPRWEAR/BLAZER", - "SHOES/PUMPS", - "SHOES/BOOTS", - "SHOES/SHOES", - "SHOES/SANDALS", - "TOP/BLOUSE", - "TOP/BLAZER", - "TOP/BAR TOP", - "TOP/BRA TOP", - "TOP/CARDIGAN", - "TOP/BODY", - "TOP/COAT", - "TOP/PANTS", - "TOP/DOWN VEST", - "TOP/JACKET", - "TOP/GILET", - "TOP/TWIN SET", - "TOP/LONG SLEEVES TEE", - "TOP/LONG TOP", - "TOP/KNIT TOP", - "TOP/VEST", - "TOP/ONE PIECE", - "TOP/TANK", - "TOP/PULLOVER", - "TOP/TOP", - "TOP/OVERALL", - "TOP/UNDERWEAR", - "TOP/SKIRT", - "TOP/UNIFORM", - "TOP/SHIRT", - "TOP/SWEATER", - "TOP/TUTA", - "TOP/TEE", - "TOP/TUNIC", - "TUTA/OVERALL", - "TUTA/TWIN SET", - "TUTA/TUTA" -] \ No newline at end of file diff --git a/app/service/outfit_matcher/config/fashion_category_mapping.json b/app/service/outfit_matcher/config/fashion_category_mapping.json deleted file mode 100644 index abdb4be..0000000 --- a/app/service/outfit_matcher/config/fashion_category_mapping.json +++ /dev/null @@ -1,242 +0,0 @@ -{ - "ACCECSSORY/BAG": "bags", - "ACCECSSORY/HAT": "hats", - "ACCESSORY/ACCESSORY": "accessories", - "ACCESSORY/BAG": "bags", - "ACCESSORY/BELT": "accessories", - "ACCESSORY/BOOTS": "shoes", - "ACCESSORY/BANGLE": "accessories", - "ACCESSORY/COMBO SET": "accessories", - "ACCESSORY/BRACELET": "accessories", - "ACCESSORY/BRA TOP": "tops", - "ACCESSORY/BIB": "accessories", - "ACCESSORY/GIFT": "accessories", - "ACCESSORY/FESTIVAL SET": "accessories", - "ACCESSORY/CAPE": "outerwear", - "ACCESSORY/BLANKET": "accessories", - "ACCESSORY/HAIR BAND": "accessories", - "ACCESSORY/GLOVES": "accessories", - "ACCESSORY/FUR SCARF": "accessories", - "ACCESSORY/BROOCH": "accessories", - "ACCESSORY/HAT": "hats", - "ACCESSORY/HAIR CLIPS": "accessories", - "ACCESSORY/SCARF": "scarves", - "ACCESSORY/CLIP": "accessories", - "ACCESSORY/HEAD BAND": "accessories", - "ACCESSORY/NECKLACE": "jewellery", - "ACCESSORY/SOCKS": "accessories", - "ACCESSORY/EARING": "jewellery", - "ACCESSORY/KEYRING": "accessories", - "ACCESSORY/OTHERS": "accessories", - "ACCESSORY/TOY": "accessories", - "ACCESSORY/HAIR CLIP": "accessories", - "ACCESSORY/RING": "jewellery", - "ACCESSORY/SANDALS": "shoes", - "ACCESSORY/SUN GLASS": "sunglasses", - "ACCESSORY/MASK": "accessories", - "ACCESSORY/Test Kit": "accessories", - "ACCESSORY/MUG": "accessories", - "ACCESSORY/TOWEL": "accessories", - "ACCESSORY/SCARF TOP": "scarves", - "ACCESSORY/SHOES": "shoes", - "ACCESSORY/SWIMSUIT": "all-body", - "ACCESSORY/TIE": "accessories", - "BOTTOM/BOTTOM": "bottoms", - "BOTTOM/CAPRI": "bottoms", - "BOTTOM/": "bottoms", - "BOTTOM/COAT": "outerwear", - "BOTTOM/CARDIGAN": "outerwear", - "BOTTOM/JEANS SHORTS": "bottoms", - "BOTTOM/BOOTS": "shoes", - "BOTTOM/JEANS": "bottoms", - "BOTTOM/CARPI": "bottoms", - "BOTTOM/JUMPSUIT": "all-body", - "BOTTOM/JEANS SKIRT": "bottoms", - "BOTTOM/JEANS CARPI": "bottoms", - "BOTTOM/JACKET": "outerwear", - "BOTTOM/LEATHER JACKET": "outerwear", - "BOTTOM/LEATHER PANTS": "bottoms", - "BOTTOM/JEANS PANTS": "bottoms", - "BOTTOM/PANTS": "bottoms", - "BOTTOM/LEATHER SHORTS": "bottoms", - "BOTTOM/LEATHER SKIRT": "bottoms", - "BOTTOM/OVERALL": "all-body", - "BOTTOM/SHORTS": "bottoms", - "BOTTOM/LEGGING": "bottoms", - "BOTTOM/UNDERWEAR": "bottoms", - "BOTTOM/SKIRT": "bottoms", - "BOTTOM/TUTA": "all-body", - "BOTTOM/SANDALS": "shoes", - "BOTTOM/TEE": "tops", - "BOTTOM/SHOES": "shoes", - "BOTTOM/SPORTSWEAR PANTS": "bottoms", - "BOTTON/PANTS": "bottoms", - "DRESS/JEANS JACKET": "outerwear", - "DRESS/": "all-body", - "DRESS/ONE PIECE": "all-body", - "DRESS/DRESS": "all-body", - "DRESS/LEATHER DRESS": "all-body", - "DRESS/JEANS SKIRT": "bottoms", - "DRESS/OVERALL": "all-body", - "DRESS/EVENING DRESS": "all-body", - "DRESS/SKIRT": "bottoms", - "DRESS/LEATHER SKIRT": "bottoms", - "DRESS/JEANS DRESS": "all-body", - "DRESS/SHORTS": "bottoms", - "DRESS/JUMPSUIT": "all-body", - "DRESS/VEST": "tops", - "DRESS/SHIRT": "tops", - "DRESS/TUTA": "all-body", - "FUR/DOWN COAT": "outerwear", - "FUR/HAT": "hats", - "FUR/FUR CAPE": "outerwear", - "FUR/FUR COAT": "outerwear", - "FUR/FUR DOWN JACKET": "outerwear", - "FUR/FUR GILET": "outerwear", - "FUR/FUR CARDIGAN": "outerwear", - "FUR/FUR JACKET": "outerwear", - "FUR/FUR HAT": "hats", - "FUR/FUR SCARF": "accessories", - "FUR/FUR VEST": "outerwear", - "GIFT/GIFT": "accessories", - "GIFT/SCARF": "accessories", - "JEANS/GILET": "outerwear", - "JEANS/JEANS CARPI": "bottoms", - "JEANS/DRESS": "all-body", - "JEANS/JEANS BLOUSE": "tops", - "JEANS/JEANS": "bottoms", - "JEANS/JEANS OVERALL": "all-body", - "JEANS/JEANS BLAZER": "outerwear", - "JEANS/JEANS DRESS": "all-body", - "JEANS/SHIRT": "tops", - "JEANS/JEANS SHORTS": "bottoms", - "JEANS/JEANS GILET": "outerwear", - "JEANS/JEANS JACKET": "outerwear", - "JEANS/SKIRT": "bottoms", - "JEANS/TWIN SET": "all-body", - "JEANS/JEANS PANTS": "bottoms", - "JEANS/JEANS SHIRT": "tops", - "JEANS/JEANS SKIRT": "bottoms", - "JEANS/JEANS VEST": "outerwear", - "JEANS/JEANS TOP": "tops", - "JEANS/OVERALL": "all-body", - "JEANS/PANTS": "bottoms", - "JEANS/SHORTS": "bottoms", - "KNIT/CARDGAIN": "outerwear", - "KNIT/ONE PIECE": "all-body", - "KNIT/CARDIGAN": "outerwear", - "KNIT/BRA TOP": "tops", - "KNIT/JACKET": "outerwear", - "KNIT/PULLOVER": "tops", - "KNIT/DRESS": "all-body", - "KNIT/CAPE": "outerwear", - "KNIT/KNIT TOP": "tops", - "KNIT/CARDGIAN": "outerwear", - "KNIT/PANTS": "bottoms", - "KNIT/GILET": "outerwear", - "KNIT/LONG TOP": "tops", - "KNIT/SKIRT": "bottoms", - "KNIT/SHORTS": "bottoms", - "KNIT/SWEATER": "tops", - "KNIT/SWEATPR": "tops", - "KNIT/VEST": "outerwear", - "KNIT/TANK": "tops", - "KNIT/TOP": "tops", - "KNIT/TUTA": "all-body", - "KNIT/TWIN SET": "all-body", - "LEATHER/BLAZER": "outerwear", - "LEATHER/LEATHER BLAZER": "outerwear", - "LEATHER/LEATHER COAT": "outerwear", - "LEATHER/LEATHER PANTS": "bottoms", - "LEATHER/HAT": "hats", - "LEATHER/LEATHER BLOUSE": "tops", - "LEATHER/LEATHER DRESS": "all-body", - "LEATHER/LEATHER SHORTS": "bottoms", - "LEATHER/LEATHER SKIRT": "bottoms", - "LEATHER/LEATHER GILET": "outerwear", - "LEATHER/LEATHER JACKET": "outerwear", - "LEATHER/LEATHER VEST": "outerwear", - "LEATHER/LEATHERSKIRT": "bottoms", - "LEATHER/LEATHERSHIRT": "tops", - "LEATHER/LEATHER TOP": "tops", - "ONE PIECE/BODYSUIT": "all-body", - "ONE PIECE/COMBO SET": "all-body", - "ONE PIECE/BODY": "all-body", - "ONE PIECE/JUMPSUIT": "all-body", - "ONE PIECE/DRESS": "all-body", - "ONE PIECE/OVERALL": "all-body", - "ONE PIECE/SWIMSUIT": "all-body", - "ONE PIECE/TWIN SET": "all-body", - "OUTERWEAR/CARDIGAN": "outerwear", - "OUTERWEAR/BLAZER": "outerwear", - "OUTERWEAR/DOWN COAT": "outerwear", - "OUTERWEAR/": "outerwear", - "OUTERWEAR/DOWN JACKET": "outerwear", - "OUTERWEAR/COAT": "outerwear", - "OUTERWEAR/DOWN GILET": "outerwear", - "OUTERWEAR/CAPE": "outerwear", - "OUTERWEAR/DOWN VEST": "outerwear", - "OUTERWEAR/FUR JACKET": "outerwear", - "OUTERWEAR/FUR VEST": "outerwear", - "OUTERWEAR/CAPE COAT": "outerwear", - "OUTERWEAR/LEATHER VEST": "outerwear", - "OUTERWEAR/PULLOVER": "outerwear", - "OUTERWEAR/GILET": "outerwear", - "OUTERWEAR/FUR COAT": "outerwear", - "OUTERWEAR/QUILTED JACKET": "outerwear", - "OUTERWEAR/SPORTSWEAR JACKET": "outerwear", - "OUTERWEAR/JACKET": "outerwear", - "OUTERWEAR/FUR GILET": "outerwear", - "OUTERWEAR/SHIRT": "tops", - "OUTERWEAR/TWIN SET": "all-body", - "OUTERWEAR/LEATHER GILET": "outerwear", - "OUTERWEAR/JEANS JACKET": "outerwear", - "OUTERWEAR/TRENCH COAT": "outerwear", - "OUTERWEAR/LEATHER COAT": "outerwear", - "OUTERWEAR/ONE PIECE": "all-body", - "OUTERWEAR/LEATHER JACKET": "outerwear", - "OUTERWEAR/SCARF": "accessories", - "OUTERWEAR/SOCKS": "accessories", - "OUTERWEAR/TOP": "tops", - "OUTERWEAR/UNIFORM": "outerwear", - "OUTERWEAR/VEST": "outerwear", - "OUTERWEAR/WINDBREAKER": "outerwear", - "OUTERWEAR/WINDERBREAKER": "outerwear", - "OUTPRWEAR/BLAZER": "outerwear", - "SHOES/PUMPS": "shoes", - "SHOES/BOOTS": "shoes", - "SHOES/SHOES": "shoes", - "SHOES/SANDALS": "shoes", - "TOP/BLOUSE": "tops", - "TOP/BLAZER": "outerwear", - "TOP/BAR TOP": "tops", - "TOP/BRA TOP": "tops", - "TOP/CARDIGAN": "outerwear", - "TOP/BODY": "all-body", - "TOP/COAT": "outerwear", - "TOP/PANTS": "bottoms", - "TOP/DOWN VEST": "outerwear", - "TOP/JACKET": "outerwear", - "TOP/GILET": "outerwear", - "TOP/TWIN SET": "tops", - "TOP/LONG SLEEVES TEE": "tops", - "TOP/LONG TOP": "tops", - "TOP/KNIT TOP": "tops", - "TOP/VEST": "outerwear", - "TOP/ONE PIECE": "all-body", - "TOP/TANK": "tops", - "TOP/PULLOVER": "outerwear", - "TOP/TOP": "tops", - "TOP/OVERALL": "all-body", - "TOP/UNDERWEAR": "bottoms", - "TOP/SKIRT": "bottoms", - "TOP/UNIFORM": "tops", - "TOP/SHIRT": "tops", - "TOP/SWEATER": "tops", - "TOP/TUTA": "all-body", - "TOP/TEE": "tops", - "TOP/TUNIC": "tops", - "TUTA/OVERALL": "all-body", - "TUTA/TWIN SET": "all-body", - "TUTA/TUTA": "all-body" -} \ No newline at end of file diff --git a/app/service/outfit_matcher/dataset.py b/app/service/outfit_matcher/dataset.py deleted file mode 100644 index 4718688..0000000 --- a/app/service/outfit_matcher/dataset.py +++ /dev/null @@ -1,141 +0,0 @@ -import json -import random -import itertools -import difflib -from copy import deepcopy - -from app.core.config import FASHION_CATEGORIES, FASHION_CATEGORIES_MAPPING - - -# Helper function to calculate the edit distance similarity between two file names -def sim_score(a, b): - return difflib.SequenceMatcher(None, a, b).ratio() - - -class FashionDataset(object): - fashion_categories = json.load(open(FASHION_CATEGORIES, "r")) - fashion_categories_mapping = json.load(open(FASHION_CATEGORIES_MAPPING, "r")) - - def __init__(self, item_metadata): - self.item_metadat = item_metadata - self.item2cate = self.get_item2cate(item_metadata) - self.cate2item = self.get_cate2item(item_metadata) - self.cate2num = {k: len(v) for k, v in self.cate2item.items()} - - # def generate_outfit(self, query_item, topk, max_outfits): - # query_item["mapped_cate"] = self.fashion_categories_mapping[query_item["semantic_category"]] - # possible_outfits = self.count_possible(query_item["mapped_cate"]) - # - # if possible_outfits < topk: - # raise ValueError(f"Cannot generate more than {topk} outfits!") - # - # outfit_list = self.get_possible_outfit(query_item) - # if possible_outfits > max_outfits: - # outfit_list = random.sample(outfit_list, max_outfits) - # return outfit_list - - def count_possible(self, given_cate): - possible = 0 - if given_cate == 'tops': - if self.cate2num['outerwear'] == 0: - possible = self.cate2num['bottoms'] - else: - possible = self.cate2num['bottoms'] * self.cate2num['outerwear'] - elif given_cate == 'bottoms': - if self.cate2num['outerwear'] == 0: - possible = self.cate2num['tops'] - else: - possible = self.cate2num['tops'] * self.cate2num['outerwear'] - elif given_cate == 'outerwear': - possible = self.cate2num['tops'] * self.cate2num['bottoms'] + self.cate2num['all-body'] - elif given_cate == 'all-body': - possible = self.cate2num['outerwear'] - return possible - - def generate_outfit(self, query_item, topk, max_outfits): - query_item["mapped_cate"] = self.fashion_categories_mapping[query_item["semantic_category"]] - given_cate = query_item["mapped_cate"] - - if given_cate == 'tops' or given_cate == "bottoms": - complementary_cate = "bottoms" if given_cate == "tops" else "tops" - # check bottom num - if complementary_cate not in self.cate2num.keys() or not self.cate2num[complementary_cate]: - raise ValueError(f"Not enough {complementary_cate} available to generate outfits.") - - complementary_items = deepcopy(self.cate2item[complementary_cate]) - sim_scores = [sim_score(item["item_name"], query_item["item_name"]) for item in complementary_items] - outfit_list = [] - used_items = set() - - while len(outfit_list) < max_outfits: - if not complementary_items: - break - - # 根据权重从bottoms中选择一个元素 - item_index = random.choices(range(len(complementary_items)), weights=sim_scores)[0] - item = complementary_items.pop(item_index) - sim_scores.pop(item_index) - - if item["item_name"] not in used_items: - used_items.add(item["item_name"]) - outfit = [query_item, item] - outfit_list.append(tuple(outfit)) - if "outerwear" in self.cate2item.keys(): - # 20% chance to include an outerwear - if self.cate2num['outerwear'] > 0 and random.random() < 0.2: - outerwear = random.choice(self.cate2item['outerwear']) - outfit.append(outerwear) - outfit_list.append(tuple(outfit)) - if len(outfit_list) < topk: - raise ValueError(f"Cannot generate more than {topk} outfits!") - - return outfit_list - elif given_cate == 'outerwear': - top_bottom_combination = [(x[0], x[1]) for x in - itertools.product(self.cate2item['tops'], self.cate2item['bottoms'])] - sim_scores = [sim_score(x[0]["item_name"], x[1]["item_name"]) for x in top_bottom_combination] - outfit_list = [] - used_items = set() - - while len(outfit_list) < max_outfits: - if not top_bottom_combination: - break - - # 根据权重从top bottom的组合中选择一个，根据top和bottom之间的文件名相似度选择 - top_bottom_index = random.choices(range(len(top_bottom_combination)), weights=sim_scores)[0] - top_bottom = top_bottom_combination.pop(top_bottom_index) - sim_scores.pop(top_bottom_index) - - top_name, bottom_name = top_bottom[0]["item_name"], top_bottom[1]["item_name"] - if top_name + bottom_name not in used_items: - used_items.add(top_name + bottom_name) - outfit = [query_item] + list(top_bottom) - outfit_list.append(tuple(outfit)) - - if len(outfit_list) < topk: - raise ValueError(f"Cannot generate more than {topk} outfits!") - - return outfit_list - elif given_cate == 'all-body': - outfit_list = [(query_item, x) for x in self.cate2item['outerwear']] - return outfit_list - - def get_item2cate(self, item_metadata): - item2cate = {} - for metadata in item_metadata: - cate = metadata["semantic_category"] - mapped_cate = self.fashion_categories_mapping[cate] - item2cate[metadata["item_name"]] = mapped_cate - return item2cate - - def get_cate2item(self, item_metadata): - cate2item = {} - for metadata in item_metadata: - cate = metadata["semantic_category"] - mapped_cate = self.fashion_categories_mapping[cate] - metadata["mapped_cate"] = mapped_cate - if mapped_cate not in cate2item.keys(): - cate2item[mapped_cate] = [metadata] - else: - cate2item[mapped_cate].append(metadata) - return cate2item diff --git a/app/service/outfit_matcher/foco.py b/app/service/outfit_matcher/foco.py deleted file mode 100644 index f2f40fc..0000000 --- a/app/service/outfit_matcher/foco.py +++ /dev/null @@ -1,251 +0,0 @@ -import operator -from numba import jit -import numpy as np -from skimage import transform, color - - -@jit(nopython=True) -def h_unit(h): - """ - The unit value (1-15) of hue - """ - for i, u in [(0, 1), (14, 2), (33, 3), (44, 4), (62, 5), (88, 6), (165, 7), (194, 8), (219, 9), (241, 10), - (266, 11), (292, 12), (307, 13), (327, 14), (344, 15), (360, 1)]: - if h <= i: - return u - return 0 - - -@jit(nopython=True) -def s_unit(s): - """ - The unit value (1-8) of saturation - """ - for i, u in [(0, 1), (5, 1), (10, 2), (14, 3), (34, 4), (53, 5), (63, 6), (80, 7), (100, 8)]: - if s <= i: - return u - return 0 - - -@jit(nopython=True) -def b_unit(b): - """ - The unit value (1-6) of brightness - """ - for i, u in [(0, 1), (20, 1), (39, 2), (55, 3), (72, 4), (90, 5), (100, 6)]: - if b <= i: - return u - return 0 - - -@jit(nopython=True) -def encode_foco(hsb): - h, s, b = hsb - theta = (h - 1) / 15 * np.pi * 2 - return np.array([np.cos(theta), np.sin(theta), (s - 1) / 7, (b - 1) / 5]) - - -@jit(nopython=True) -def is_white(hsb_unit): - """ - Whether an hsb color unit is white - """ - _, s, b = hsb_unit - return s == 1 and b == 6 - - -@jit(nopython=True) -def is_rice(hsb_unit): - """ - Whether an hsb color unit is rice - """ - h, s, b = hsb_unit - return h in [3, 4, 5] and s in [2, 3, 4] and b in [5, 6] - - -@jit(nopython=True) -def is_blue_netrual(hsb_unit): - """ - Whether an hsb color is blue netrual - """ - h, s, b = hsb_unit - return h in [9, 10] and s in [2, 3, 4, 5, 6] and b in [2, 3, 4] - - -@jit(nopython=True) -def is_pastel(hsb_unit): - """ - Whether an hsb color unit is pastel - """ - _, s, b = hsb_unit - return s == 1 and b in [4, 5] - - -@jit(nopython=True) -def is_black(hsb_unit): - """ - Whether an hsb color unit is black - """ - _, _, b = hsb_unit - return b == 1 - - -@jit(nopython=True) -def is_gray(hsb_unit): - """ - Whether an hsb color unit is gray - """ - _, s, b = hsb_unit - return s == 1 and b in [2, 3] - - -@jit(nopython=True) -def foco_merge(hsb_foco): - """ - Merge multiple black/white/gray foco unit to one - """ - if is_white(hsb_foco): return (1, 1, 6) - if is_black(hsb_foco): return (1, 1, 1) - if is_gray(hsb_foco): return (1, hsb_foco[1], hsb_foco[2]) - return hsb_foco[0], hsb_foco[1], hsb_foco[2] - - -def color_foco(img): - """ - transform an hsb image to color units - - input: (height, width, 3) array - output: an uint8 array with same shape - """ - img = img.copy() - h, w, c = img.shape - # print(h, w, c) - assert c == 3 - for i in range(h): - for j in range(w): - img[i, j, 0] = h_unit(img[i, j, 0]) - img[i, j, 1] = s_unit(img[i, j, 1]) - img[i, j, 2] = b_unit(img[i, j, 2]) - return img.astype(np.uint8) - - -@jit(nopython=True) -def is_ignore(hsb, eps=1): - """ - Ignore white background - """ - _, s, b = hsb - return s < eps and b > 100 - eps - - -@jit(nopython=True) -def ignore_list(hsb_img, ignore=is_ignore): - """ - Given an hsb image (ranges 360, 100, 100), output a dict of ignored pixel locations - - Input: - is_ignore: a lambda that determines whether a hsb pixel should be ignored - Output: - set of ignore pixel coordinate - """ - h, w, _ = hsb_img.shape - ign = set() - for i in range(h): - for j in range(w): - if ignore(hsb_img[i, j, :]): - ign.add((i, j)) - return ign - - -def color_histogram(img, merge=None, threshold=None, ignore=None): - """ - color histogram of an image - """ - h, w, c = img.shape - # print(h, w, c) - if merge is None: - merge = foco_merge - if threshold is None: - threshold = h + w - if ignore is None: - ignore = {} - hist = {} - assert c == 3 - for i in range(h): - for j in range(w): - if (i, j) in ignore: - continue - k = merge(tuple(img[i, j])) - if k in hist: - hist[k] += 1 - else: - hist[k] = 1 - - return {k: v for k, v in hist.items() if v > threshold} - - -def main_colors(img, n=1, frequency=False, hist=False, merge=True): - """ - return the list of main colors of a hsb image. - - img: a hsb image - n: number of main colors to return - frequency: whether return freqency - """ - if hist: - hist = img - else: - hist = color_histogram(color_foco(img), ignore=ignore_list(img)) - if merge: - newhist = {} - oldk = {} - ks = sorted(hist.items(), key=operator.itemgetter(1), reverse=True) - # print(ks) - for k, v in ks: - if k in oldk: - continue - near = {kk: hist[kk] for kk in hist if np.abs(np.sum(np.abs(np.array(k) - np.array(kk)))) <= 2} - # print(near) - newhist[k] = sum(v for k, v in near.items()) - for kk in near: - oldk[kk] = None - hist.pop(kk) - hist = newhist - items = sorted(hist.items(), key=operator.itemgetter(1), reverse=True)[:n] - return items if frequency else [k for k, v in items] - - -def rgb2hsb(rgb_img): - """ - Transform an rgb image (unit 8 np array, ranges 255, 255, 255) to hsb (float np array, ranges 360, 100, 100) - """ - rgb_img = np.array(rgb_img).astype('uint8') - return color.rgb2hsv(rgb_img) * np.array([360, 100, 100]).reshape(1, 1, 3) - - -def extract_main_colors(img, n=5): - """ - Args: - img: Numpy array (height, width, channel) - n: number of main colors wants to extract - - return: - Features of main colors: Numpy array (n, 5) - """ - # Convert to hsb - img = img.astype("uint8") - height = img.shape[0] - width = img.shape[1] - ratio = (512 * 512) / (height * width) - if ratio < 1.0: - img = transform.resize(img, (int(height * ratio), int(width * ratio))) - img = color.rgb2hsv(img) * np.array([360, 100, 100]).reshape(1, 1, 3) - - # Extract main colors - cf = main_colors(img, n, frequency=True) - s = sum(f for c, f in cf) - features = np.zeros((n, 5)) - for i, (c, f) in enumerate(cf): - features[i, :4] = encode_foco(c) - features[i, 4] = f / s - return features diff --git a/app/service/outfit_matcher/outfit_evaluator.py b/app/service/outfit_matcher/outfit_evaluator.py deleted file mode 100644 index 0392414..0000000 --- a/app/service/outfit_matcher/outfit_evaluator.py +++ /dev/null @@ -1,338 +0,0 @@ -import io -from PIL import Image -import cv2 -import numpy as np -import tritonclient.http as httpclient -import torch -from matplotlib import pyplot as plt, image as mpimg -from minio import Minio -from torchvision import transforms - -from app.core.config import * -from app.service.outfit_matcher.foco import extract_main_colors -from app.service.utils.decorator import RunTime - - -class OutfitMatcher(object): - def __init__(self): - self.tritonclient = httpclient.InferenceServerClient(url=f"{OM_TRITON_IP}:{OM_TRITON_PORT}") - self.minio_client = Minio( - f"{MINIO_IP}:{MINIO_PORT}", - access_key=MINIO_ACCESS, - secret_key=MINIO_SECRET, - secure=MINIO_SECURE) - - @staticmethod - def pad_array(input_value, value=0): - """pad List of Array into same batch size - - Args: - input_value: List of numpy arrary need to be padded - - Returns: - Tensor: [batch_dim, max_dim, original_tensor_size] - """ - max_dim = max([len(x) for x in input_value]) - mask = np.zeros((len(input_value), max_dim), dtype=np.float32) - - # Pad each array - padded_arrays = [] - for i, array in enumerate(input_value): - # Compute padding amount along the pad dimension - pad_dim = max_dim - array.shape[0] - consistent_shape = array.shape[1:] - pad_widths = [(0, pad_dim)] + [(0, 0)] * len(consistent_shape) - padded_array = np.pad(array, pad_widths, mode='constant', constant_values=value) - padded_arrays.append(padded_array) - - mask[i, array.shape[0]:] = float("-inf") - - # Stack the padded arrays and change the dimension - batched_arrays = np.stack(padded_arrays, axis=0) - return batched_arrays, mask - - @staticmethod - def imnormalize(img, mean, std, to_rgb=True): - """Normalize an image with mean and std. - - Args: - img (ndarray): Image to be normalized. - mean (ndarray): The mean to be used for normalize. - std (ndarray): The std to be used for normalize. - to_rgb (bool): Whether to convert to rgb. - - Returns: - ndarray: The normalized image. - """ - img = img.copy().astype(np.float32) - assert img.dtype != np.uint8 - mean = np.float64(mean.reshape(1, -1)) - stdinv = 1 / np.float64(std.reshape(1, -1)) - if to_rgb: - cv2.cvtColor(img, cv2.COLOR_BGR2RGB, img) # inplace - cv2.subtract(img, mean, img) # inplace - cv2.multiply(img, stdinv, img) # inplace - return img - - @RunTime - def visualize(self, outfits, scores, topk=5, best=True, output_path=None): - # 将outfits和scores按照scores的值进行排序 - sorted_indices = np.argsort(-scores.flatten() if best else scores.flatten())[:topk] # 使用负号进行降序排序 - outfits = [outfits[i] for i in sorted_indices] # 最好或最差的五个 - scores = scores[sorted_indices] # 这五个的分数 - - # 是否画出来 - if output_path: - # 设置子图的行列数 - num_rows = len(outfits) - num_cols = max([len(x) for x in outfits]) + 1 # 一个是图片，一个是分数 - - # 创建一个新的图像，并指定子图的行列数 - fig, axes = plt.subplots(num_rows, num_cols, figsize=(8, 15)) - - title = f"Best {topk} Outfits" if best else f"Worst {topk} Outfits" - fig.suptitle(title, fontsize=16) - - # 遍历每套outfit并将其显示在对应的子图中 - for i, (outfit, score) in enumerate(zip(outfits, scores)): - # 显示分数 - axes[i, 0].text(0.1, 0.5, f"Score: {score[0]:.4f}", fontsize=12) - axes[i, 0].axis("off") - # 显示图片 - for j, item in enumerate(outfit): - img = mpimg.imread(item['image_path']) # 读取图片 - axes[i, j + 1].imshow(img) # 在对应的子图中显示图片 - axes[i, j + 1].axis('off') # 关闭坐标轴 - axes[i, j + 1].set_title(item["semantic_category"], fontsize=10) - for j in range(len(outfit), num_cols): - axes[i, j].axis("off") - - # 在每一行的底部添加一条横线 - axes[i, 0].axhline(y=0, color='black', linewidth=1) - # 隐藏最后一行的横线 - axes[-1, 0].axhline(y=0, color='white', linewidth=1) - - # 调整布局 - plt.subplots_adjust(wspace=0.1, hspace=0.1) - plt.tight_layout() - - if output_path: - plt.savefig(output_path) - else: - plt.show() - else: - return outfits, scores.numpy().flatten().tolist() - - -class OutfitMatcherHon(OutfitMatcher): - def __init__(self): - super().__init__() - - def load_image(self, img_path): - try: - # 从 MinIO 中获取对象（图像文件） - image_data = self.minio_client.get_object(img_path.split("/", 1)[0], img_path.split("/", 1)[1]) - - # 读取图像数据并转换为 PIL 图像对象 - pil_image = Image.open(io.BytesIO(image_data.read())) - - # 将 PIL 图像转换为 NumPy 数组 - image_array = np.array(pil_image) - - return image_array - except Exception as e: - print(f"An error occurred: {e}") - return None - # if 'http' in img_path: - # file = requests.get(img_path) - # image = cv2.imdecode(np.fromstring(file.content, np.uint8), 1) - # image = Image.fromarray(image.astype('uint8'), 'RGB') - # else: - # image = Image.open(img_path).convert('RGB') - # return np.array(image) - - @staticmethod - def resize_image(img): - """ - Args: - img: ndarray (height, width, channel) - """ - resized_img = cv2.resize(img, (224, 224), dst=None, interpolation=1) - return resized_img - - def preprocess(self, outfits): - outfit_images = [] - outfit_colors = [] - for outfit in outfits: - images = [] - colors = [] - for item in outfit: - image = self.load_image(item["image_path"]) - image = self.resize_image(image) - normalized_image = self.imnormalize(image, - mean=np.array([208.32996145, 201.28227452, 198.47047691], - dtype=np.float32), - std=np.array([75.48939648, 80.47423057, 82.21144189], - dtype=np.float32)) - images.append(normalized_image.transpose(2, 0, 1)) - color = extract_main_colors(image) - colors.append(color) - images = np.stack(images, axis=0) - outfit_images.append(images) # List[(items, 3, 224, 224)] - colors = np.stack(colors, axis=0) - outfit_colors.append(colors) - outfit_images, mask = self.pad_array(outfit_images) - outfit_colors, _ = self.pad_array(outfit_colors) - return outfit_images, outfit_colors, mask - - def get_result(self, outfits): - # start = time.time() - image, color, mask = self.preprocess(outfits) - # print(start - time.time()) - # transformed_img = image.astype(np.float32) - # 输入集 - inputs = [ - httpclient.InferInput("input__0", image.shape, datatype="FP32"), - httpclient.InferInput("input__1", color.shape, datatype="FP32"), - httpclient.InferInput("input__2", mask.shape, datatype="FP32"), - ] - inputs[0].set_data_from_numpy(image.astype(np.float32), binary_data=True) - inputs[1].set_data_from_numpy(color.astype(np.float32), binary_data=True) - inputs[2].set_data_from_numpy(mask.astype(np.float32), binary_data=True) - # 输出集 - outputs = [ - httpclient.InferRequestedOutput("output__0", binary_data=True), - ] - results = self.tritonclient.infer(model_name="outfit_matcher_hon", inputs=inputs, outputs=outputs) - # 推理 - # 取结果 - inference_output1 = torch.from_numpy(results.as_numpy("output__0")) - return inference_output1 # Shape (N, 1) - - -class OutfitMaterTypeAware(OutfitMatcher): - base_fashion_categories = [ - 'accessories', 'all-body', 'bags', 'bottoms', 'hats', 'jewellery', - 'outerwear', 'scarves', 'shoes', 'sunglasses', 'tops' - ] - - @RunTime - def __init__(self): - super().__init__() - - @RunTime - # TODO 用多线程读图片 - def load_image(self, img_path): - try: - # 从 MinIO 中获取对象（图像文件） - image_data = self.minio_client.get_object(img_path.split("/", 1)[0], img_path.split("/", 1)[1]) - - # 读取图像数据并转换为 PIL 图像对象 - pil_image = Image.open(io.BytesIO(image_data.data)).convert("RGB") - - # 将 PIL 图像转换为 NumPy 数组 - # image_array = np.array(pil_image) - - return pil_image - except Exception as e: - print(f"An error occurred: {e}") - return None - # if 'http' in img_path: - # file = requests.get(img_path) - # image = cv2.imdecode(np.fromstring(file.content, np.uint8), 1) - # image = Image.fromarray(image.astype('uint8'), 'RGB') - # else: - # image = Image.open(img_path).convert('RGB') - # return np.array(image) - - @staticmethod - def resize_image(img): - """ - Args: - img: ndarray (height, width, channel) - """ - image_transforms = transforms.Compose([ - transforms.Resize(112), - transforms.CenterCrop(112), - transforms.ToTensor(), - transforms.Normalize(mean=[0.485, 0.456, 0.406], - std=[0.229, 0.224, 0.225]), - ]) - resized_img = image_transforms(img).numpy() - return resized_img - - def preprocess(self, outfits): - outfit_images = [] - outfit_categories = [] - for outfit in outfits: - images = [] - categories = [] - for item in outfit: - image = self.load_image(item["image_path"]) - image = self.resize_image(image) - images.append(image) - category = self.base_fashion_categories.index(item["mapped_cate"]) - categories.append(category) - images = np.stack(images, axis=0) - outfit_images.append(images) # List[(items, 3, 224, 224)] - categories = np.array(categories) - outfit_categories.append(categories) # List[(items)] - outfit_images, mask = self.pad_array(outfit_images, value=0) - outfit_categories, _ = self.pad_array(outfit_categories, value=len(self.base_fashion_categories)) - return outfit_images, outfit_categories, mask - - @RunTime - def get_result(self, outfits): - """Input outfits structure and output scores. - Args: - outfits: outfits to be evaluated. - Example: - [ - [ - { - "item_name": "MSE_57987", - "semantic_category": "BOTTOM/PANTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_57987.jpg", - "mapped_cate": "bottoms" - }, - { - "item_name": "MPO_SP7712", - "semantic_category": "TOP/TANK", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MPO_SP7712.jpg", - "mapped_cate": "tops" - }, - { - "item_name": "MWSS27195", - "semantic_category": "OUTERWEAR/GILET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27195.jpg", - "mapped_cate": "outerwear" - } - ], - ... - ] - Returns: - scores: List of float - """ - image, category, mask = self.preprocess(outfits) - client = httpclient.InferenceServerClient(url=f"{OM_TRITON_IP}:{OM_TRITON_PORT}") - # 输入集 - inputs = [ - httpclient.InferInput("input__0", image.shape, datatype="FP32"), - httpclient.InferInput("input__1", category.shape, datatype="INT16"), - httpclient.InferInput("input__2", mask.shape, datatype="FP32"), - ] - inputs[0].set_data_from_numpy(image.astype(np.float32), binary_data=True) - inputs[1].set_data_from_numpy(category.astype(np.int16), binary_data=True) - inputs[2].set_data_from_numpy(mask.astype(np.float32), binary_data=True) - # 输出集 - outputs = [ - httpclient.InferRequestedOutput("output__0", binary_data=True), - httpclient.InferRequestedOutput("output__1", binary_data=True) - ] - results = client.infer(model_name="outfit_matcher_type_aware", inputs=inputs, outputs=outputs) - # 推理 - # 取结果 - scores = torch.from_numpy(results.as_numpy("output__0")) # Shape (N, 1) - features = torch.from_numpy(results.as_numpy("output__1")) # Shape (N, 64) - - return scores, features diff --git a/app/service/outfit_matcher/service.py b/app/service/outfit_matcher/service.py deleted file mode 100644 index 59961cb..0000000 --- a/app/service/outfit_matcher/service.py +++ /dev/null @@ -1,37 +0,0 @@ -import json -import os -from pprint import pprint - -from app.service.outfit_matcher.dataset import FashionDataset -from app.service.outfit_matcher.outfit_evaluator import OutfitMaterTypeAware - -if __name__ == '__main__': - with open("./test_param/recommendation_test.json", "r") as f: - param = json.load(f) - fashion_dataset = FashionDataset(param["database"]) - service = OutfitMaterTypeAware() - best_list = [] - bad_list = [] - for item in param["query"]: - outfits = fashion_dataset.generate_outfit(item, param["topk"], param["max_outfits"]) - scores, features = service.get_result(outfits) - # save features - - # 链接milvus - - # 存入数据库 - # 关闭链接 - - # print(scores) - # print(len(scores)) - best_outfits, best_scores = service.visualize(outfits, scores, param["topk"], best=True, - # output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_best_{param['topk']}.png") - ) - bad_outfits, bad_scores = service.visualize(outfits, scores, param["topk"], best=False, - # output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_worst_{param['topk']}.png") - ) - best_list.append({"best_outfits": best_outfits, "best_scores": best_scores}) - bad_list.append({"bad_outfits": bad_outfits, "bad_scores": bad_scores}) - - pprint(best_list) - pprint(bad_list) diff --git a/app/service/outfit_matcher/test_param/recommendation_test.json b/app/service/outfit_matcher/test_param/recommendation_test.json deleted file mode 100644 index 6e6f624..0000000 --- a/app/service/outfit_matcher/test_param/recommendation_test.json +++ /dev/null @@ -1,29 +0,0 @@ -{ - "topk": 1, - "max_outfits": 100, - "is_best": true, - "query": [ - { - "item_name": "MWSS27212", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MWSS27212.jpg" - } - ], - "database": [ - { - "item_name": "MLSS27162", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MLSS27162.jpg" - }, - { - "item_name": "MKTS27017", - "semantic_category": "OUTERWEAR/WINDBREAKER", - "image_path": "test/2024 SS/MKTS27017.jpg" - }, - { - "item_name": "MLSS27160", - "semantic_category": "BOTTOM/PANTS", - "image_path": "test/2024 SS/MLSS27160.jpg" - } - ] -} \ No newline at end of file diff --git a/app/service/outfit_matcher/test_param/recommendation_test_pkc.json b/app/service/outfit_matcher/test_param/recommendation_test_pkc.json deleted file mode 100644 index 9290de8..0000000 --- a/app/service/outfit_matcher/test_param/recommendation_test_pkc.json +++ /dev/null @@ -1,849 +0,0 @@ -{ - "topk": 5, - "max_outfits": 100, - "query": [ - { - "item_name": "MSE_58107", - "semantic_category": "TOP/SHIRT", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_58107.jpg" - }, - { - "item_name": "MKTS27047", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27047.jpg" - }, - { - "item_name": "MKTS27028", - "semantic_category": "OUTERWEAR/JACKET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27028.jpg" - }, - { - "item_name": "MSE_58057", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_58057.jpg" - }, - { - "item_name": "MSE_58495", - "semantic_category": "TOP/SHIRT", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_58495.jpg" - } - ], - "database": - [ - { - "item_name": "MKTS27017", - "semantic_category": "OUTERWEAR/WINDBREAKER", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27017.jpg" - }, - { - "item_name": "MKTS27047", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27047.jpg" - }, - { - "item_name": "MKTS27000", - "semantic_category": "BOTTOM/PANTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27000.jpg" - }, - { - "item_name": "MKTS27001", - "semantic_category": "BOTTOM/SHORTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27001.jpg" - }, - { - "item_name": "MZOS27178", - "semantic_category": "KNIT/CARDIGAN", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MZOS27178.jpg" - }, - { - "item_name": "MZOS27179", - "semantic_category": "KNIT/KNIT TOP", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MZOS27179.jpg" - }, - { - "item_name": "MWSS27184", - "semantic_category": "TOP/TEE", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27184.jpg" - }, - { - "item_name": "MWSS27191", - "semantic_category": "OUTERWEAR/TWIN SET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27191.jpg" - }, - { - "item_name": "MWSS27193", - "semantic_category": "OUTERWEAR/JACKET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27193.jpg" - }, - { - "item_name": "MWSS27195", - "semantic_category": "OUTERWEAR/GILET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27195.jpg" - }, - { - "item_name": "MWSS27200", - "semantic_category": "KNIT/VEST", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27200.jpg" - }, - { - "item_name": "MWSS27209", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27209.jpg" - }, - { - "item_name": "MWSS27210", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27210.jpg" - }, - { - "item_name": "MWSS27211", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27211.jpg" - }, - { - "item_name": "MWSS27212", - "semantic_category": "TOP/BLOUSE", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27212.jpg" - }, - { - "item_name": "MKTS27008", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27008.jpg" - }, - { - "item_name": "MKTS27009", - "semantic_category": "BOTTOM/PANTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27009.jpg" - }, - { - "item_name": "MKTS27010", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27010.jpg" - }, - { - "item_name": "MKTS27012", - "semantic_category": "OUTERWEAR/JACKET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27012.jpg" - }, - { - "item_name": "MKTS27013", - "semantic_category": "BOTTOM/SHORTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27013.jpg" - }, - { - "item_name": "MKTS27014", - "semantic_category": "ONE PIECE/TWIN SET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27014.jpg" - }, - { - "item_name": "MKTS27015", - "semantic_category": "OUTERWEAR/GILET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27015.jpg" - }, - { - "item_name": "MKTS27016", - "semantic_category": "BOTTOM/SHORTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27016.jpg" - }, - { - "item_name": "MKTS27027", - "semantic_category": "BOTTOM/PANTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27027.jpg" - }, - { - "item_name": "MKTS27028", - "semantic_category": "OUTERWEAR/JACKET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27028.jpg" - }, - { - "item_name": "MKTS27029", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27029.jpg" - }, - { - "item_name": "MKTS27030", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27030.jpg" - }, - { - "item_name": "MKTS27031", - "semantic_category": "BOTTOM/SKIRT", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27031.jpg" - }, - { - "item_name": "MKTS27034", - "semantic_category": "TOP/SHIRT", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27034.jpg" - }, - { - "item_name": "MKTS27035", - "semantic_category": "ONE PIECE/TWIN SET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27035.jpg" - }, - { - "item_name": "MKTS27038", - "semantic_category": "TOP/TOP", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27038.jpg" - }, - { - "item_name": "MKTS27039", - "semantic_category": "TOP/TOP", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27039.jpg" - }, - { - "item_name": "MKTS27040", - "semantic_category": "TOP/TOP", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27040.jpg" - }, - { - "item_name": "MKTS27045", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27045.jpg" - }, - { - "item_name": "MKTS27046", - "semantic_category": "TOP/SHIRT", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27046.jpg" - }, - { - "item_name": "MKTS27050", - "semantic_category": "TOP/TOP", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27050.jpg" - }, - { - "item_name": "MKTS27059", - "semantic_category": "TOP/TEE", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27059.jpg" - }, - { - "item_name": "MKTS27061", - "semantic_category": "TOP/TOP", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27061.jpg" - }, - { - "item_name": "MKTS27062", - "semantic_category": "TOP/BLOUSE", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27062.jpg" - }, - { - "item_name": "MKTS27066", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27066.jpg" - }, - { - "item_name": "MKTS27067", - "semantic_category": "TOP/TEE", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27067.jpg" - }, - { - "item_name": "MKTS27068", - "semantic_category": "ONE PIECE/TWIN SET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27068.jpg" - }, - { - "item_name": "MKTS27002", - "semantic_category": "TOP/BLOUSE", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27002.jpg" - }, - { - "item_name": "MKTS27003", - "semantic_category": "OUTERWEAR/GILET", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27003.jpg" - }, - { - "item_name": "MKTS27004", - "semantic_category": "BOTTOM/PANTS", - "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27004.jpg" - }, - { - "item_name": 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"ONE PIECE/DRESS", - "image_path": "test/2024 SS/MPO_SP7694.jpg" - }, - { - "item_name": "MPO_SP7696", - "semantic_category": "BOTTOM/PANTS", - "image_path": "test/2024 SS/MPO_SP7696.jpg" - }, - { - "item_name": "MPO_SP7697", - "semantic_category": "JEANS/JEANS", - "image_path": "test/2024 SS/MPO_SP7697.jpg" - }, - { - "item_name": "MPO_SP7704", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "test/2024 SS/MPO_SP7704.jpg" - }, - { - "item_name": "MPO_SP7705", - "semantic_category": "OUTERWEAR/JACKET", - "image_path": "test/2024 SS/MPO_SP7705.jpg" - }, - { - "item_name": "MPO_SP7706", - "semantic_category": "JEANS/JEANS JACKET", - "image_path": "test/2024 SS/MPO_SP7706.jpg" - }, - { - "item_name": "MPO_SP7711", - "semantic_category": "TOP/VEST", - "image_path": "test/2024 SS/MPO_SP7711.jpg" - }, - { - "item_name": "MPO_SP7712", - "semantic_category": "TOP/TANK", - "image_path": "test/2024 SS/MPO_SP7712.jpg" - }, - { - "item_name": "MPO_SP7717", - "semantic_category": "TOP/TEE", - "image_path": "test/2024 SS/MPO_SP7717.jpg" - }, - { - "item_name": "MPO_SP7722", - "semantic_category": "TOP/TOP", - "image_path": "test/2024 SS/MPO_SP7722.jpg" - }, - { - "item_name": "MPO_SP7723", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MPO_SP7723.jpg" - }, - { - "item_name": "MPO_SP7726", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MPO_SP7726.jpg" - }, - { - "item_name": "MPO_SP7729", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MPO_SP7729.jpg" - }, - { - "item_name": "MPO_SP7731", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MPO_SP7731.jpg" - }, - { - "item_name": "MPO_SP7732", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MPO_SP7732.jpg" - }, - { - "item_name": "MPO_SP7735", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MPO_SP7735.jpg" - }, - { - "item_name": "MSE_58197", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58197.jpg" - }, - { - "item_name": "MSE_58198", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MSE_58198.jpg" - }, - { - "item_name": "MSE_58199", - "semantic_category": "BOTTOM/PANTS", - "image_path": "test/2024 SS/MSE_58199.jpg" - }, - { - "item_name": "MSE_58112", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58112.jpg" - }, - { - "item_name": "MSE_58114", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58114.jpg" - }, - { - "item_name": "MSE_58241", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MSE_58241.jpg" - }, - { - "item_name": "MSE_57987", - "semantic_category": "BOTTOM/PANTS", - "image_path": "test/2024 SS/MSE_57987.jpg" - }, - { - "item_name": "MSE_57988", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "test/2024 SS/MSE_57988.jpg" - }, - { - "item_name": "MSE_58203", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "test/2024 SS/MSE_58203.jpg" - }, - { - "item_name": "MSE_58106", - "semantic_category": "BOTTOM/PANTS", - "image_path": "test/2024 SS/MSE_58106.jpg" - }, - { - "item_name": "MSE_58107", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58107.jpg" - }, - { - "item_name": "MSE_58132", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58132.jpg" - }, - { - "item_name": "MSE_58133", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58133.jpg" - }, - { - "item_name": "MSE_58057", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "test/2024 SS/MSE_58057.jpg" - }, - { - "item_name": "MSE_58058", - "semantic_category": "BOTTOM/PANTS", - "image_path": "test/2024 SS/MSE_58058.jpg" - }, - { - "item_name": "MSE_58222", - "semantic_category": "BOTTOM/SKIRT", - "image_path": "test/2024 SS/MSE_58222.jpg" - }, - { - "item_name": "MSE_58317", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MSE_58317.jpg" - }, - { - "item_name": "MSE_58045", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58045.jpg" - }, - { - "item_name": "MSE_58275", - "semantic_category": "JEANS/JEANS DRESS", - "image_path": "test/2024 SS/MSE_58275.jpg" - }, - { - "item_name": "MSE_58276", - "semantic_category": "JEANS/JEANS JACKET", - "image_path": "test/2024 SS/MSE_58276.jpg" - }, - { - "item_name": "MSE_58277", - "semantic_category": "JEANS/JEANS SKIRT", - "image_path": "test/2024 SS/MSE_58277.jpg" - }, - { - "item_name": "MSE_58183", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MSE_58183.jpg" - }, - { - "item_name": "MSE_58184", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58184.jpg" - }, - { - "item_name": "MSE_58185", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58185.jpg" - }, - { - "item_name": "MSE_58188", - "semantic_category": "BOTTOM/SKIRT", - "image_path": "test/2024 SS/MSE_58188.jpg" - }, - { - "item_name": "MSE_54385", - "semantic_category": "BOTTOM/PANTS", - "image_path": "test/2024 SS/MSE_54385.jpg" - }, - { - "item_name": "MSE_56720", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "test/2024 SS/MSE_56720.jpg" - }, - { - "item_name": "MSE_58174", - "semantic_category": "TOP/TEE", - "image_path": "test/2024 SS/MSE_58174.jpg" - }, - { - "item_name": "MSE_58044", - "semantic_category": "OUTERWEAR/JACKET", - "image_path": "test/2024 SS/MSE_58044.jpg" - }, - { - "item_name": "MSE_58361", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58361.jpg" - }, - { - "item_name": "MSE_58495", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58495.jpg" - }, - { - "item_name": "MSE_58536", - "semantic_category": "ACCESSORY/BAG", - "image_path": "test/2024 SS/MSE_58536.jpg" - }, - { - "item_name": "MSE_58653", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58653.jpg" - }, - { - "item_name": "MSE_58287", - "semantic_category": "BOTTOM/SHORTS", - "image_path": "test/2024 SS/MSE_58287.jpg" - }, - { - "item_name": "MSE_58289", - "semantic_category": "OUTERWEAR/BLAZER", - "image_path": "test/2024 SS/MSE_58289.jpg" - }, - { - "item_name": "MSE_58323", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MSE_58323.jpg" - }, - { - "item_name": "MSE_58421", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58421.jpg" - }, - { - "item_name": "MSE_58451", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58451.jpg" - }, - { - "item_name": "MSE_58473", - "semantic_category": "KNIT/KNIT TOP", - "image_path": "test/2024 SS/MSE_58473.jpg" - }, - { - "item_name": "MSE_58498", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58498.jpg" - }, - { - "item_name": "MSE_58499", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58499.jpg" - }, - { - "item_name": "MSE_58510", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58510.jpg" - }, - { - "item_name": "MSE_58516", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58516.jpg" - }, - { - "item_name": "MSE_58518", - "semantic_category": "BOTTOM/SKIRT", - "image_path": "test/2024 SS/MSE_58518.jpg" - }, - { - "item_name": "MSE_58530", - "semantic_category": "ONE PIECE/DRESS", - "image_path": "test/2024 SS/MSE_58530.jpg" - }, - { - "item_name": "MSE_58540", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58540.jpg" - }, - { - "item_name": "MSE_58547", - "semantic_category": "TOP/TEE", - "image_path": "test/2024 SS/MSE_58547.jpg" - }, - { - "item_name": "MSE_58618", - "semantic_category": "TOP/BLOUSE", - "image_path": "test/2024 SS/MSE_58618.jpg" - }, - { - "item_name": "MSE_58655", - "semantic_category": "TOP/SHIRT", - "image_path": "test/2024 SS/MSE_58655.jpg" - }, - { - "item_name": "MSE_58658", - "semantic_category": "TOP/TEE", - "image_path": "test/2024 SS/MSE_58658.jpg" - } - ] -} \ No newline at end of file diff --git a/app/service/outfit_matcher/test_param/test.json b/app/service/outfit_matcher/test_param/test.json deleted file mode 100644 index a62fd97..0000000 --- a/app/service/outfit_matcher/test_param/test.json +++ /dev/null @@ -1,19 +0,0 @@ -{ - "topk": 1, - "max_outfits": 5, - "is_best": true, - "query": [ - { - "image_path": "mi-tu/26/BOTTOM/PANTS/MKTS27000_0BLK.jpg/3f4676db-98a1-44d4-947f-9d1f59828629.jpg", - "item_name": "MKTS27000", - "semantic_category": "BOTTOM/PANTS" - } - ], - "database": [ - { - "image_path": "mi-tu/26/TOP/BLOUSE/MKTS27002_0WHT.jpg/131cc29e-8f70-4134-a0e8-82f826b00058.jpg", - "item_name": "MKTS27002", - "semantic_category": "TOP/BLOUSE" - } - ] -} \ No newline at end of file diff --git a/app/service/similar_match/__init__.py b/app/service/similar_match/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/app/service/similar_match/service.py b/app/service/similar_match/service.py deleted file mode 100644 index 87d9440..0000000 --- a/app/service/similar_match/service.py +++ /dev/null @@ -1,110 +0,0 @@ -import io -import json - -import numpy as np -import tritonclient.http as httpclient -from PIL import Image -from minio import Minio -from pymilvus import MilvusClient - -from app.core.config import * -from torchvision import transforms - -from app.schemas.similar_match import SimilarMatchMItem -from app.service.utils.decorator import RunTime - - -class SimilarMatch: - def __init__(self, request_data): - self.minio_client = Minio( - f"{MINIO_IP}:{MINIO_PORT}", - access_key=MINIO_ACCESS, - secret_key=MINIO_SECRET, - secure=MINIO_SECURE) - self.triton_client = httpclient.InferenceServerClient(url=f"{OM_TRITON_IP}:{OM_TRITON_PORT}") - self.image_path = request_data.image_path - self.result_number = request_data.result_number - self.features = self.get_features() - - @staticmethod - def resize_image(img): - """ - Args: - img: ndarray (height, width, channel) - """ - image_transforms = transforms.Compose([ - transforms.Resize(112), - transforms.CenterCrop(112), - transforms.ToTensor(), - transforms.Normalize(mean=[0.485, 0.456, 0.406], - std=[0.229, 0.224, 0.225]), - ]) - resized_img = image_transforms(img).numpy() - return resized_img - - def load_image(self, img_path): - # 从 MinIO 中获取对象（图像文件） - image_data = self.minio_client.get_object(img_path.split("/", 1)[0], img_path.split("/", 1)[1]) - # 读取图像数据并转换为 PIL 图像对象 - pil_image = Image.open(io.BytesIO(image_data.data)).convert("RGB") - # 将 PIL 图像转换为 NumPy 数组 - # image_array = np.array(pil_image) - return pil_image - - def preprocess(self, img_path): - image = self.load_image(img_path) - image = self.resize_image(image) - image = np.stack([[image]], axis=0) - - category = np.stack([[1, 6]], axis=0) - - mask = np.zeros((1, 1), dtype=np.float32) - return image, category, mask - - def get_features(self): - image, category, mask = self.preprocess(self.image_path) - # 输入集 - inputs = [ - httpclient.InferInput("input__0", image.shape, datatype="FP32"), - httpclient.InferInput("input__1", category.shape, datatype="INT16"), - httpclient.InferInput("input__2", mask.shape, datatype="FP32"), - ] - inputs[0].set_data_from_numpy(image.astype(np.float32), binary_data=True) - inputs[1].set_data_from_numpy(category.astype(np.int16), binary_data=True) - inputs[2].set_data_from_numpy(mask.astype(np.float32), binary_data=True) - # 输出集 - outputs = [ - httpclient.InferRequestedOutput("output__0", binary_data=True), - httpclient.InferRequestedOutput("output__1", binary_data=True) - ] - results = self.triton_client.infer(model_name="outfit_matcher_type_aware", inputs=inputs, outputs=outputs) - # 推理 - # 取结果 - features = results.as_numpy("output__1") # Shape (N, 64) - return features - - @RunTime - def match_features(self): - # 连接milvus - # 连接milvus - client = MilvusClient(uri="http://10.1.1.240:19530", db_name="mixi") - try: - search_response = client.search( - collection_name="mixi_outfit", # Replace with the actual name of your collection - # Replace with your query vector - data=[self.features[0]], - limit=self.result_number, # Max. number of search results to return - output_fields=["id", "image_path"], # Search parameters - ) - return search_response - finally: - client.close() - - -if __name__ == '__main__': - request_data = SimilarMatchMItem(image_path="test/top/test_top1.jpg", result_number=1) - - service = SimilarMatch(request_data) - search_response = service.match_features() - - print(json.dumps(search_response, indent=4)) diff --git a/app/service/utils/decorator.py b/app/service/utils/decorator.py deleted file mode 100644 index 2e563fc..0000000 --- a/app/service/utils/decorator.py +++ /dev/null @@ -1,15 +0,0 @@ -import time -import logging - - -def RunTime(func): - def wrapper(*args, **kwargs): - t1 = time.time() - res = func(*args, **kwargs) - t2 = time.time() - if t2 - t1 > 0.05: - logging.info(f"function：【{func.__name__}】,runtime：【{str(t2 - t1)}】s") - print(f"function：【{func.__name__}】,runtime：【{str(t2 - t1)}】s") - return res - - return wrapper diff --git a/docker-compose.yml b/docker-compose.yml deleted file mode 100644 index b3dfd4d..0000000 --- a/docker-compose.yml +++ /dev/null @@ -1,9 +0,0 @@ -version: "3" -services: - trinity_mixi: - image: "trinity_client_mixi:latest" - container_name: trinity_mixi - volumes: - - ./trinity_client_mixi:/trinity - ports: - - "10100:4562" \ No newline at end of file diff --git a/gunicorn_config.py b/gunicorn_config.py deleted file mode 100644 index c85e8ad..0000000 --- a/gunicorn_config.py +++ /dev/null @@ -1,38 +0,0 @@ -# 多进程 - -"""gunicorn+gevent 的配置文件""" - -# 预加载资源 -preload_app = True -# 绑定 ip + 端口 -bind = "0.0.0.0:4562" -# 进程数 = cup数量 * 2 + 1 -workers = 1 - -# 线程数 = cup数量 * 2 -threads = 2 - -# 等待队列最大长度,超过这个长度的链接将被拒绝连接 -backlog = 2048 - -# 工作模式--协程 -worker_class = "uvicorn.workers.UvicornWorker" - -# 最大客户客户端并发数量,对使用线程和协程的worker的工作有影响 -# 服务器配置设置的值 1200：中小型项目 上万并发： 中大型 -# 服务器硬件：宽带+数据库+内存 -# 服务器的架构：集群 主从 -worker_connections = 1200 - -# 进程名称 -proc_name = 'gunicorn.pid' -# 进程pid记录文件 -pidfile = 'app_run.log' -# 日志等级 -loglevel = 'info' -# 日志文件名 -logfile = 'info.log' -# 访问记录 -accesslog = 'access.log' -# 访问记录格式 -access_log_format = '%(h)s %(t)s %(U)s %(q)s' diff --git a/logging_env.py b/logging_env.py deleted file mode 100644 index ce4e9da..0000000 --- a/logging_env.py +++ /dev/null @@ -1,51 +0,0 @@ -from app.core.config import LOGS_PATH - -LOGGER_CONFIG_DICT = { - "version": 1, - "disable_existing_loggers": False, - "formatters": { - "simple": {"format": "%(asctime)s %(filename)s [line:%(lineno)d] %(levelname)s %(message)s"} - }, - "handlers": { - "console": { - "class": "logging.StreamHandler", - "level": "DEBUG", - "formatter": "simple", - "stream": "ext://sys.stdout", - }, - "info_file_handler": { - "class": "logging.handlers.RotatingFileHandler", - "level": "INFO", - "formatter": "simple", - "filename": LOGS_PATH, - "maxBytes": 10485760, - "backupCount": 50, - "encoding": "utf8", - }, - "error_file_handler": { - "class": "logging.handlers.RotatingFileHandler", - "level": "ERROR", - "formatter": "simple", - "filename": LOGS_PATH, - "maxBytes": 10485760, - "backupCount": 20, - "encoding": "utf8", - }, - "debug_file_handler": { - "class": "logging.handlers.RotatingFileHandler", - "level": "DEBUG", - "formatter": "simple", - "filename": LOGS_PATH, - "maxBytes": 10485760, - "backupCount": 50, - "encoding": "utf8", - }, - }, - "loggers": { - "my_module": {"level": "INFO", "handlers": ["console"], "propagate": "no"} - }, - "root": { - "level": "INFO", - "handlers": ["error_file_handler", "info_file_handler", "debug_file_handler", "console"], - }, -} diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 0eb1ed8aa87a511d859a46dc713c3dfa76dfe559..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 986 zcmZXTTTjA35QXR2#Q)HQ=W;6un)pkM59OwfP>?Ple_s90Y!`^8*`=M!nKNgGpYNSj zw&vN|$)0%z*0-(=IeojgJM24KT5WSXTF(2~g1uv{J$gjkqsMk_+GYgXgBd(#4szxB z!CtKNO0S-&3L`5nb>^U!WG;vfUU|cJprW`1$C-Jia;BW3jjG^M5hL~!>_Q&9uYq-C zAI>J{7UCQDii}-e`&4HO{57>I@}d^qiyqRVwgVV5q7uT`yB~P9oo5T9alf#2qIc!? zz%9j7{-DK=S|89@wYTUH^^Gi}!eVf%e-2+Mqv;$ke3cO^?(uxWcnP0y!>PcZrYp>j zSFFAJjQX|5$5~}j**HzQ!+J*PSfvf%v%Fao?m& X>S^fSQM+$vF!k>}!sNPh>bq~h$z_@Y diff --git a/test/attribute/infer_test.py b/test/attribute/infer_test.py deleted file mode 100644 index e01b948..0000000 --- a/test/attribute/infer_test.py +++ /dev/null @@ -1,110 +0,0 @@ -import cv2 -import mmcv -import numpy as np -import tritonclient.http as httpclient -import torch - - -def preprocess(img): - img = mmcv.imread(img) - ori_shape = img.shape[:2] - img_scale = (224, 224) - scale_factor = [] - img, x, y = mmcv.imresize(img, img_scale, return_scale=True) - scale_factor.append(x) - scale_factor.append(y) - img = mmcv.imnormalize(img, mean=np.array([123.675, 116.28, 103.53]), std=np.array([58.395, 57.12, 57.375]), to_rgb=True) - preprocessed_img = np.expand_dims(img.transpose(2, 0, 1), axis=0) - return preprocessed_img, ori_shape - - -def get_attribute(model_save_name, sample): - triton_client = httpclient.InferenceServerClient(url=f"10.1.1.240:10020") - inputs = [ - httpclient.InferInput("input__0", sample.shape, datatype="FP32") - ] - inputs[0].set_data_from_numpy(sample, binary_data=True) - results = triton_client.infer(model_name=model_save_name, inputs=inputs) - inference_output = torch.from_numpy(results.as_numpy(f"output__0")) - scores = inference_output.detach().numpy() - print(f"{model} is ok") - - -image, shape = preprocess(cv2.imread("8365b04b-69d0-4f6d-a61b-a8cc136256263422b10ff45d4ae4e10be3fc25a9c36b.jpg")) -# get_attribute("attr_retrieve_D_sleeve_shape", image) - -model_list = ['top_length', - 'top_type', - 'top_Sleeve_length', - 'top_Sleeve_shape', - 'top_Sleeve_shoulder', - 'top_Neckline', - 'top_print', - 'top_material', - 'top_Softness', - 'top_Design', - 'top_optype', - 'top_Silhouette', - 'top_Collar', - 'bottom_sub-Type', - 'bottom_length', - 'bottom_print', - 'bottom_material', - 'bottom_Softness_B', - 'bottom_Silhouette_B', - 'bottom_OPType_B', - 'bottom_design', - 'outwear_outer_length', - # 'outwear_2_outer_type', - 'outwear_outer_sleeve_length', - 'outwear_outer_sleeve_shape', - 'outwear_outer_sleeve_shoulder', - 'outwear_outer_collar', - 'outwear_print', - 'outwear_material', - 'outwear_outer_softness', - 'outwear_outer_design', - # 'outwear_11_outer_opening', - 'outwear_outer_optype', - 'outwear_outer_silhouette', - 'jumpsuit_length', - 'jumpsuit_sleeve_length', - 'jumpsuit_sleeve_shape', - 'jumpsuit_sleeve_shoulder', - 'jumpsuit_neckline', - 'jumpsuit_collar', - 'jumpsuit_print', - 'jumpsuit_material', - 'jumpsuit_softness', - 'jumpsuit_design', - 'jumpsuit_optype', - 'jumpsuit_subtype', - 'dress_length', - 'dress_sleeve_length', - 'dress_sleeve_shape', - 'dress_sleeve_shoulder', - 'dress_neckline', - 'dress_print', - 'dress_collar', - 'dress_material', - 'dress_design', - 'dress_softness', - 'dress_silohouette12', - # 'dress_' - 'dress_type' - ] -except_model = [] -# 'attr_recong_B_optype', 'attr_recong_D_length', 'attr_recong_O_length', 'attr_recong_O_optype', 'attr_recong_material', -# 'attr_recong_print', 'attr_retrieve_D_collar', 'attr_retrieve_D_design', 'attr_retrieve_D_neckline', 'attr_retrieve_D_silohouette', -# 'attr_retrieve_D_sleeve_shape', 'attr_retrieve_D_sleeve_shoulder', 'attr_retrieve_D_type', 'attr_retrieve_T_length', 'attr_retrieve_T_optype' - -# for model in model_list: -# get_attribute(model, image) - -for model in model_list: - try: - get_attribute(model, image) - except Exception as e: - print(e) - except_model.append(model) -print(except_model) diff --git a/test/attribute/model.py b/test/attribute/model.py deleted file mode 100644 index 1c7ac6a..0000000 --- a/test/attribute/model.py +++ /dev/null @@ -1,56 +0,0 @@ -var = ["bottom_OPType_B", - "bottom_Silhouette_B", - "bottom_Softness_B", - "bottom_design", - "bottom_length", - "bottom_material", - "bottom_print", - "bottom_sub-Type", - "category", - "dress_collar", - "dress_design", - "dress_length", - "dress_material", - "dress_neckline", - "dress_print", - "dress_silohouette2", - "dress_sleeve_length", - "dress_sleeve_shape", - "dress_sleeve_shoulder", - "dress_softness", - "dress_type", - "jumpsuit_collar", - "jumpsuit_design", - "jumpsuit_length", - "jumpsuit_material", - "jumpsuit_optype", - "jumpsuit_print", - "jumpsuit_sleeve_length", - "jumpsuit_sleeve_shape", - "jumpsuit_sleeve_shoulder", - "jumpsuit_softness", - "jumpsuit_subtype", - "outwear_material", - "outwear_outear_length", - "outwear_outer_collar", - "outwear_outer_design", - "outwear_outer_optype", - "outwear_outer_silhouette", - "outwear_outer_sleeve_length", - "outwear_outer_sleeve_shape", - "outwear_outer_sleeve_shoulder", - "outwear_outer_softness", - "outwear_print", - "top_Collar", - "top_Design", - "top_Neckline", - "top_Silhouette", - "top_Sleeve_length", - "top_Sleeve_shape", - "top_Sleeve_shoulder", - "top_Softness", - "top_length", - "top_material", - "top_optype", - "top_print", - "top_type", ] diff --git a/test/attribute_recognition_model_infer/attribute_recognition_model_infer.py b/test/attribute_recognition_model_infer/attribute_recognition_model_infer.py deleted file mode 100644 index 67a6c0b..0000000 --- a/test/attribute_recognition_model_infer/attribute_recognition_model_infer.py +++ /dev/null @@ -1,51 +0,0 @@ -from pprint import pprint - -import cv2 -import mmcv -import numpy as np -import tritonclient.http as httpclient -import torch - -from app.core.config import ATT_TRITON_PORT, ATT_TRITON_IP - -model_list = ['bottom_design', 'bottom_length', 'bottom_material', 'bottom_OPType_B', 'bottom_print', 'bottom_Silhouette_B', 'bottom_Softness_B', 'bottom_sub-Type', 'category', 'dress_collar', 'dress_design', 'dress_length', 'dress_material', 'dress_neckline', 'dress_print', 'dress_silohouette12', 'dress_sleeve_length', 'dress_sleeve_shape', 'dress_sleeve_shoulder', 'dress_softness', 'dress_type', 'jumpsuit_collar', 'jumpsuit_design', 'jumpsuit_length', 'jumpsuit_material', 'jumpsuit_optype', - 'jumpsuit_print', 'jumpsuit_sleeve_length', 'jumpsuit_sleeve_shape', 'jumpsuit_sleeve_shoulder', 'jumpsuit_softness', 'jumpsuit_subtype', 'outwear_material', 'outwear_outear_length', 'outwear_outer_collar', 'outwear_outer_design', 'outwear_outer_optype', 'outwear_outer_silhouette', 'outwear_outer_sleeve_length', 'outwear_outer_sleeve_shape', 'outwear_outer_sleeve_shoulder', 'outwear_outer_softness', 'outwear_print', 'top_Collar', 'top_Design', 'top_length', 'top_material', - 'top_Neckline', 'top_optype', 'top_print', 'top_Silhouette', 'top_Sleeve_length', 'top_Sleeve_shape', 'top_Sleeve_shoulder', 'top_Softness', 'top_type'] - - -def preprocess(img): - img = mmcv.imread(img) - ori_shape = img.shape[:2] - img_scale = (224, 224) - scale_factor = [] - img, x, y = mmcv.imresize(img, img_scale, return_scale=True) - scale_factor.append(x) - scale_factor.append(y) - img = mmcv.imnormalize(img, mean=np.array([123.675, 116.28, 103.53]), std=np.array([58.395, 57.12, 57.375]), to_rgb=True) - preprocessed_img = np.expand_dims(img.transpose(2, 0, 1), axis=0) - return preprocessed_img, ori_shape - - -def get_attribute(model_save_name, sample): - triton_client = httpclient.InferenceServerClient(url=f"{ATT_TRITON_IP}:{ATT_TRITON_PORT}") - inputs = [ - httpclient.InferInput("input__0", sample.shape, datatype="FP32") - ] - inputs[0].set_data_from_numpy(sample, binary_data=True) - results = triton_client.infer(model_name=model_save_name, inputs=inputs) - inference_output = torch.from_numpy(results.as_numpy(f"output__0")) - scores = inference_output.detach().numpy() - pprint(scores) - print(f"{model_save_name} is ok") - - -image, shape = preprocess(cv2.imread("test_top1.jpg")) -except_model = [] - -for model in model_list: - try: - get_attribute(model, image) - except Exception as e: - print(e) - except_model.append(model) -print(except_model) diff --git a/test/json/outfit_response.py b/test/json/outfit_response.py deleted file mode 100644 index c834f65..0000000 --- a/test/json/outfit_response.py +++ /dev/null @@ -1,273 +0,0 @@ -a = [{'best_outfits': [({'image_path': 'test/2024 SS/MKTS27047.jpg', - 'item_name': 'MKTS27047', - 'mapped_cate': 'all-body', - 'semantic_category': 'ONE PIECE/DRESS'}, - {'image_path': 'test/2024 SS/MLSS27156.jpg', - 'item_name': 'MLSS27156', - 'mapped_cate': 'outerwear', - 'semantic_category': 'TOP/VEST'}), - ({'image_path': 'test/2024 SS/MKTS27047.jpg', - 'item_name': 'MKTS27047', - 'mapped_cate': 'all-body', - 'semantic_category': 'ONE PIECE/DRESS'}, - {'image_path': 'test/2024 SS/MLSS27157.jpg', - 'item_name': 'MLSS27157', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/WINDBREAKER'}), - ({'image_path': 'test/2024 SS/MKTS27047.jpg', - 'item_name': 'MKTS27047', - 'mapped_cate': 'all-body', - 'semantic_category': 'ONE PIECE/DRESS'}, - {'image_path': 'test/2024 SS/MLSS27150.jpg', - 'item_name': 'MLSS27150', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/JACKET'}), - ({'image_path': 'test/2024 SS/MKTS27047.jpg', - 'item_name': 'MKTS27047', - 'mapped_cate': 'all-body', - 'semantic_category': 'ONE PIECE/DRESS'}, - {'image_path': 'test/2024 SS/MSE_56720.jpg', - 'item_name': 'MSE_56720', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/BLAZER'}), - ({'image_path': 'test/2024 SS/MKTS27047.jpg', - 'item_name': 'MKTS27047', - 'mapped_cate': 'all-body', - 'semantic_category': 'ONE PIECE/DRESS'}, - {'image_path': 'test/2024 SS/MLSS27109.jpg', - 'item_name': 'MLSS27109', - 'mapped_cate': 'outerwear', - 'semantic_category': 'JEANS/JEANS JACKET'})], - 'best_scores': [-0.111208215, - -0.120505564, - -0.1213615, - -0.12190802, - -0.12419219]}, - {'best_outfits': [({'image_path': 'test/2024 SS/MKTS27028.jpg', - 'item_name': 'MKTS27028', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/JACKET'}, - {'image_path': 'test/2024 SS/MSE_58107.jpg', - 'item_name': 'MSE_58107', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27133.jpg', - 'item_name': 'MLSS27133', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SKIRT'}), - ({'image_path': 'test/2024 SS/MKTS27028.jpg', - 'item_name': 'MKTS27028', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/JACKET'}, - {'image_path': 'test/2024 SS/MLSS27132.jpg', - 'item_name': 'MLSS27132', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/TOP'}, - {'image_path': 'test/2024 SS/MLSS27159.jpg', - 'item_name': 'MLSS27159', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'}), - ({'image_path': 'test/2024 SS/MKTS27028.jpg', - 'item_name': 'MKTS27028', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/JACKET'}, - {'image_path': 'test/2024 SS/MLSS27132.jpg', - 'item_name': 'MLSS27132', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/TOP'}, - {'image_path': 'test/2024 SS/MLSS27133.jpg', - 'item_name': 'MLSS27133', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SKIRT'}), - ({'image_path': 'test/2024 SS/MKTS27028.jpg', - 'item_name': 'MKTS27028', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/JACKET'}, - {'image_path': 'test/2024 SS/MKTS27039.jpg', - 'item_name': 'MKTS27039', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/TOP'}, - {'image_path': 'test/2024 SS/MLSS27226.jpg', - 'item_name': 'MLSS27226', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SKIRT'}), - ({'image_path': 'test/2024 SS/MKTS27028.jpg', - 'item_name': 'MKTS27028', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/JACKET'}, - {'image_path': 'test/2024 SS/MLSS27146.jpg', - 'item_name': 'MLSS27146', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/TOP'}, - {'image_path': 'test/2024 SS/MSE_58518.jpg', - 'item_name': 'MSE_58518', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SKIRT'})], - 'best_scores': [-0.111208215, - -0.11449928, - -0.11642833, - -0.120505564, - -0.1213615]}, - {'best_outfits': [({'image_path': 'test/2024 SS/MSE_58057.jpg', - 'item_name': 'MSE_58057', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/BLAZER'}, - {'image_path': 'test/2024 SS/MKTS27046.jpg', - 'item_name': 'MKTS27046', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MSE_58518.jpg', - 'item_name': 'MSE_58518', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SKIRT'}), - ({'image_path': 'test/2024 SS/MSE_58057.jpg', - 'item_name': 'MSE_58057', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/BLAZER'}, - {'image_path': 'test/2024 SS/MSE_58473.jpg', - 'item_name': 'MSE_58473', - 'mapped_cate': 'tops', - 'semantic_category': 'KNIT/KNIT TOP'}, - {'image_path': 'test/2024 SS/MKTS27031.jpg', - 'item_name': 'MKTS27031', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SKIRT'}), - ({'image_path': 'test/2024 SS/MSE_58057.jpg', - 'item_name': 'MSE_58057', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/BLAZER'}, - {'image_path': 'test/2024 SS/MPO_SP7687.jpg', - 'item_name': 'MPO_SP7687', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27107.jpg', - 'item_name': 'MLSS27107', - 'mapped_cate': 'bottoms', - 'semantic_category': 'JEANS/JEANS'}), - ({'image_path': 'test/2024 SS/MSE_58057.jpg', - 'item_name': 'MSE_58057', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/BLAZER'}, - {'image_path': 'test/2024 SS/MLSS27142.jpg', - 'item_name': 'MLSS27142', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27159.jpg', - 'item_name': 'MLSS27159', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'}), - ({'image_path': 'test/2024 SS/MSE_58057.jpg', - 'item_name': 'MSE_58057', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/BLAZER'}, - {'image_path': 'test/2024 SS/MLSS27142.jpg', - 'item_name': 'MLSS27142', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27226.jpg', - 'item_name': 'MLSS27226', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SKIRT'})], - 'best_scores': [-0.111208215, - -0.11449928, - -0.11642833, - -0.120505564, - -0.1213615]}, - {'best_outfits': [({'image_path': 'test/2024 SS/MSE_58107.jpg', - 'item_name': 'MSE_58107', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27159.jpg', - 'item_name': 'MLSS27159', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'}, - {'image_path': 'test/2024 SS/MSE_58289.jpg', - 'item_name': 'MSE_58289', - 'mapped_cate': 'outerwear', - 'semantic_category': 'OUTERWEAR/BLAZER'}), - ({'image_path': 'test/2024 SS/MSE_58107.jpg', - 'item_name': 'MSE_58107', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27111.jpg', - 'item_name': 'MLSS27111', - 'mapped_cate': 'bottoms', - 'semantic_category': 'JEANS/JEANS PANTS'}), - ({'image_path': 'test/2024 SS/MSE_58107.jpg', - 'item_name': 'MSE_58107', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27104.jpg', - 'item_name': 'MLSS27104', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/SHORTS'}), - ({'image_path': 'test/2024 SS/MSE_58107.jpg', - 'item_name': 'MSE_58107', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27159.jpg', - 'item_name': 'MLSS27159', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'}), - ({'image_path': 'test/2024 SS/MSE_58107.jpg', - 'item_name': 'MSE_58107', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27160.jpg', - 'item_name': 'MLSS27160', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'})], - 'best_scores': [-0.111208215, - -0.11449928, - -0.120505564, - -0.1213615, - -0.12190802]}, - {'best_outfits': [({'image_path': 'test/2024 SS/MSE_58495.jpg', - 'item_name': 'MSE_58495', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27159.jpg', - 'item_name': 'MLSS27159', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'}), - ({'image_path': 'test/2024 SS/MSE_58495.jpg', - 'item_name': 'MSE_58495', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27160.jpg', - 'item_name': 'MLSS27160', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'}), - ({'image_path': 'test/2024 SS/MSE_58495.jpg', - 'item_name': 'MSE_58495', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27159.jpg', - 'item_name': 'MLSS27159', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'}, - {'image_path': 'test/2024 SS/MLSS27109.jpg', - 'item_name': 'MLSS27109', - 'mapped_cate': 'outerwear', - 'semantic_category': 'JEANS/JEANS JACKET'}), - ({'image_path': 'test/2024 SS/MSE_58495.jpg', - 'item_name': 'MSE_58495', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MLSS27119.jpg', - 'item_name': 'MLSS27119', - 'mapped_cate': 'bottoms', - 'semantic_category': 'JEANS/JEANS SKIRT'}), - ({'image_path': 'test/2024 SS/MSE_58495.jpg', - 'item_name': 'MSE_58495', - 'mapped_cate': 'tops', - 'semantic_category': 'TOP/SHIRT'}, - {'image_path': 'test/2024 SS/MKTS27000.jpg', - 'item_name': 'MKTS27000', - 'mapped_cate': 'bottoms', - 'semantic_category': 'BOTTOM/PANTS'})], - 'best_scores': [-0.111208215, - -0.11449928, - -0.120505564, - -0.1213615, - -0.12190802]}] diff --git a/test/minio_client_test/minio_client.py b/test/minio_client_test/minio_client.py deleted file mode 100644 index 48f041c..0000000 --- a/test/minio_client_test/minio_client.py +++ /dev/null @@ -1,12 +0,0 @@ -from minio import Minio - -from app.core.config import MINIO_PORT, MINIO_IP, MINIO_ACCESS, MINIO_SECRET, MINIO_SECURE - -minio_client = Minio( - f"{MINIO_IP}:{MINIO_PORT}", - access_key=MINIO_ACCESS, - secret_key=MINIO_SECRET, - secure=MINIO_SECURE) - -for i in minio_client.list_objects('test'): - print(i.object_name) diff --git a/test/outfit_matcher/triton_infer.py b/test/outfit_matcher/triton_infer.py deleted file mode 100644 index e69de29..0000000 diff --git a/test/outfit_matcher_milvus/1.create databases.py b/test/outfit_matcher_milvus/1.create databases.py deleted file mode 100644 index f1bfadb..0000000 --- a/test/outfit_matcher_milvus/1.create databases.py +++ /dev/null @@ -1,5 +0,0 @@ -from pymilvus import connections, db - -conn = connections.connect(host="10.1.1.240", port=19530) - -database = db.create_database("mixi") diff --git a/test/outfit_matcher_milvus/2.create collection.py b/test/outfit_matcher_milvus/2.create collection.py deleted file mode 100644 index 70edb0e..0000000 --- a/test/outfit_matcher_milvus/2.create collection.py +++ /dev/null @@ -1,23 +0,0 @@ -from pymilvus import MilvusClient, DataType - -# 创建client ,配置databases -client = MilvusClient( - uri="http://10.1.1.240:19530", - token="root:Milvus", - db_name="mixi" -) -from pymilvus import MilvusClient, DataType - -schema = MilvusClient.create_schema( - auto_id=True, - enable_dynamic_field=False, -) - -schema.add_field(field_name="id", datatype=DataType.INT64, is_primary=True) -schema.add_field(field_name="image_path", datatype=DataType.VARCHAR, max_length=200) -schema.add_field(field_name="vector", datatype=DataType.FLOAT_VECTOR, dim=64) - -client.create_collection( - collection_name="mixi_outfit", - schema=schema -) diff --git a/test/outfit_matcher_milvus/3.create index.py b/test/outfit_matcher_milvus/3.create index.py deleted file mode 100644 index 27aa3dd..0000000 --- a/test/outfit_matcher_milvus/3.create index.py +++ /dev/null @@ -1,23 +0,0 @@ -from pymilvus import MilvusClient, Collection - -client = MilvusClient( - uri="http://10.1.1.240:19530", - token="root:Milvus", - db_name="mixi" -) - -index_params = client.prepare_index_params() -index_params.add_index( - field_name="id", - index_type="STL_SORT" -) -index_params.add_index( - field_name="vector", - index_type="IVF_FLAT", - metric_type="L2", - params={"nlist": 1024} -) -client.create_index( - collection_name="mixi_outfit", - index_params=index_params -) diff --git a/test/outfit_matcher_milvus/4.load clollection.py b/test/outfit_matcher_milvus/4.load clollection.py deleted file mode 100644 index 08c5698..0000000 --- a/test/outfit_matcher_milvus/4.load clollection.py +++ /dev/null @@ -1,10 +0,0 @@ -from pymilvus import MilvusClient - -client = MilvusClient( - uri="http://10.1.1.240:19530", - token="root:Milvus", - db_name="mixi" -) -client.load_collection( - collection_name="mixi_outfit" -) diff --git a/test/outfit_matcher_milvus/5.similar match.py b/test/outfit_matcher_milvus/5.similar match.py deleted file mode 100644 index 2ffaed6..0000000 --- a/test/outfit_matcher_milvus/5.similar match.py +++ /dev/null @@ -1,27 +0,0 @@ -import json -import time - -from pymilvus import MilvusClient - -client = MilvusClient( - uri="http://10.1.1.240:19530", - token="root:Milvus", - db_name="mixi" -) -data = [0.019687360152602196, 0.839404821395874, 0.5053166747093201, 0.6062483787536621, 0.5455009341239929, 0.07595491409301758, 0.028354600071907043, 0.24453534185886383, 0.6116685271263123, 0.4527449309825897, 0.22063420712947845, 0.09205381572246552, 0.22853578627109528, 0.3041312098503113, - 0.8354143500328064, 0.05135197564959526, 0.9292615652084351, 0.03914223983883858, 0.7091595530509949, 0.17939062416553497, 0.2958671748638153, 0.46751415729522705, 0.05523946136236191, 0.976833164691925, 0.3593502938747406, 0.0806853398680687, 0.3097323179244995, 0.12855321168899536, - 0.12651172280311584, 0.3173355162143707, 0.17060844600200653, 0.9340737462043762, 0.8437095880508423, 0.7500482797622681, 0.22598184645175934, 0.8127533197402954, 0.39825528860092163, 0.9043431878089905, 0.9064653515815735, 0.14613617956638336, 0.582768976688385, 0.4516744315624237, - 0.6479957699775696, 0.909612774848938, 0.7674093842506409, 0.47747865319252014, 0.5617552995681763, 0.967750072479248, 0.9146659970283508, 0.28031912446022034, 0.5092940330505371, 0.21442186832427979, 0.43696293234825134, 0.7705745100975037, 0.09395607560873032, 0.9103220701217651, - 0.2616001069545746, 0.7469480037689209, 0.24508604407310486, 0.6890515089035034, 0.704613447189331, 0.7213652729988098, 0.3660031855106354, 0.2150406688451767] -start_time = time.time() -res = client.search( - collection_name="mixi_outfit", # Replace with the actual name of your collection - # Replace with your query vector - data=[data], - limit=5, # Max. number of search results to return - # search_params={"metric_type": "IP", "params": {}} # Search parameters -) -print(time.time() - start_time) - -result = json.dumps(res, indent=4) -print(result)