attribute 模型名称错误

app/core/config.py

@@ -27,16 +27,16 @@ MINIO_SECURE = False
 MINIO_ACCESS = "e8zc55mzDOh4IzRrZ9Oa"
 MINIO_SECRET = "uHfqJ7UkwA1PTDGfnA44Hp9ux5YkZTkzZLjeOYhE"
 
-OM_TRITON_IP = "10.1.1.150"
+OM_TRITON_IP = "10.1.1.240"
-OM_TRITON_PORT = "9000"
+OM_TRITON_PORT = "10010"
 
 ATT_TRITON_IP = "10.1.1.240"
 ATT_TRITON_PORT = "10020"
 
 # service env
-# LOGS_PATH = "app/logs/errors.log"
+LOGS_PATH = "app/logs/errors.log"
-# FASHION_CATEGORIES = "app/service/outfit_matcher/config/fashion_categories.json"
+FASHION_CATEGORIES = "app/service/outfit_matcher/config/fashion_categories.json"
-# FASHION_CATEGORIES_MAPPING = "app/service/outfit_matcher/config/fashion_category_mapping.json"
+FASHION_CATEGORIES_MAPPING = "app/service/outfit_matcher/config/fashion_category_mapping.json"
 
 # pycharm debug
 # LOGS_PATH = "logs/errors.log"
@@ -44,6 +44,6 @@ ATT_TRITON_PORT = "10020"
 # FASHION_CATEGORIES_MAPPING = "service/outfit_matcher/config/fashion_category_mapping.json"
 
 
-LOGS_PATH = "app/logs/errors.log"
+# LOGS_PATH = "app/logs/errors.log"
-FASHION_CATEGORIES = "./config/fashion_categories.json"
+# FASHION_CATEGORIES = "./config/fashion_categories.json"
-FASHION_CATEGORIES_MAPPING = "./config/fashion_category_mapping.json"
+# FASHION_CATEGORIES_MAPPING = "./config/fashion_category_mapping.json"

app/logs/errors.log

@@ -1,3 +1,267 @@
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+2024-03-27 11:28:58,000 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08478975296020508】s
+2024-03-27 11:28:58,000 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08478975296020508】s
+2024-03-27 11:28:58,034 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2043590545654297】s
+2024-03-27 11:28:58,034 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2043590545654297】s
+2024-03-27 11:28:58,101 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06698036193847656】s
+2024-03-27 11:28:58,101 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06698036193847656】s
+2024-03-27 11:28:58,242 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11905717849731445】s
+2024-03-27 11:28:58,242 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11905717849731445】s
+2024-03-27 11:28:58,285 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2512340545654297】s
+2024-03-27 11:28:58,285 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2512340545654297】s
+2024-03-27 11:28:58,367 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07999205589294434】s
+2024-03-27 11:28:58,367 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07999205589294434】s
+2024-03-27 11:28:58,463 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07760047912597656】s
+2024-03-27 11:28:58,463 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07760047912597656】s
+2024-03-27 11:28:58,543 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06173586845397949】s
+2024-03-27 11:28:58,543 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06173586845397949】s
+2024-03-27 11:28:58,636 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07255721092224121】s
+2024-03-27 11:28:58,636 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07255721092224121】s
+2024-03-27 11:28:58,723 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0690464973449707】s
+2024-03-27 11:28:58,723 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0690464973449707】s
+2024-03-27 11:28:58,813 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06989359855651855】s
+2024-03-27 11:28:58,813 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06989359855651855】s
+2024-03-27 11:28:58,907 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07435822486877441】s
+2024-03-27 11:28:58,907 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07435822486877441】s
+2024-03-27 11:28:58,997 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06914925575256348】s
+2024-03-27 11:28:58,997 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06914925575256348】s
+2024-03-27 11:28:59,089 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07468628883361816】s
+2024-03-27 11:28:59,089 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07468628883361816】s
+2024-03-27 11:28:59,342 decorator.py [line:11] INFO function：【get_result】,runtime：【1.055443286895752】s
+2024-03-27 11:28:59,342 decorator.py [line:11] INFO function：【get_result】,runtime：【1.055443286895752】s
+2024-03-27 11:28:59,419 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07607388496398926】s
+2024-03-27 11:28:59,419 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07607388496398926】s
+2024-03-27 11:28:59,523 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08356571197509766】s
+2024-03-27 11:28:59,523 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08356571197509766】s
+2024-03-27 11:28:59,611 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07082462310791016】s
+2024-03-27 11:28:59,611 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07082462310791016】s
+2024-03-27 11:28:59,695 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06639719009399414】s
+2024-03-27 11:28:59,695 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06639719009399414】s
+2024-03-27 11:28:59,782 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06848025321960449】s
+2024-03-27 11:28:59,782 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06848025321960449】s
+2024-03-27 11:28:59,861 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06321930885314941】s
+2024-03-27 11:28:59,861 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06321930885314941】s
+2024-03-27 11:28:59,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06985092163085938】s
+2024-03-27 11:28:59,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06985092163085938】s
+2024-03-27 11:29:00,036 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06791377067565918】s
+2024-03-27 11:29:00,036 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06791377067565918】s
+2024-03-27 11:29:00,124 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0706472396850586】s
+2024-03-27 11:29:00,124 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0706472396850586】s
+2024-03-27 11:29:00,171 decorator.py [line:11] INFO function：【get_result】,runtime：【0.8278758525848389】s
+2024-03-27 11:29:00,171 decorator.py [line:11] INFO function：【get_result】,runtime：【0.8278758525848389】s
+2024-03-27 11:29:00,235 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06318235397338867】s
+2024-03-27 11:29:00,235 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06318235397338867】s
+2024-03-27 11:29:00,322 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06962013244628906】s
+2024-03-27 11:29:00,322 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06962013244628906】s
+2024-03-27 11:29:00,405 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06734132766723633】s
+2024-03-27 11:29:00,405 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06734132766723633】s
+2024-03-27 11:29:00,481 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05873560905456543】s
+2024-03-27 11:29:00,481 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05873560905456543】s
+2024-03-27 11:29:00,560 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06250882148742676】s
+2024-03-27 11:29:00,560 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06250882148742676】s
+2024-03-27 11:29:00,638 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0628812313079834】s
+2024-03-27 11:29:00,638 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0628812313079834】s
+2024-03-27 11:29:00,679 decorator.py [line:11] INFO function：【get_result】,runtime：【0.5070171356201172】s
+2024-03-27 11:29:00,679 decorator.py [line:11] INFO function：【get_result】,runtime：【0.5070171356201172】s
+2024-03-27 11:29:00,680 api_outfit_matcher.py [line:43] INFO run time is : 9.467643737792969
+2024-03-27 11:29:00,680 api_outfit_matcher.py [line:43] INFO run time is : 9.467643737792969

app/schemas/similar_match.py

@@ -3,3 +3,4 @@ from pydantic import BaseModel
 
 class SimilarMatchMItem(BaseModel):
     image_path: str
+    result_number: int

app/service/outfit_matcher/outfit_evaluator.py

@@ -8,7 +8,7 @@ from matplotlib import pyplot as plt, image as mpimg
 from minio import Minio
 from torchvision import transforms
 
-from app.core.config import MINIO_IP, MINIO_ACCESS, MINIO_SECRET, MINIO_SECURE, MINIO_PORT, OM_TRITON_PORT, OM_TRITON_IP
+from app.core.config import *
 from app.service.outfit_matcher.foco import extract_main_colors
 from app.service.utils.decorator import RunTime
 

app/service/outfit_matcher/test_param/test.json

@@ -0,0 +1,19 @@
+{
+  "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"
+    }
+  ]
+}

app/service/similar_match/service.py

@@ -10,6 +10,8 @@ from pymilvus import MilvusClient
 from app.core.config import *
 from torchvision import transforms
 
+from app.service.utils.decorator import RunTime
+
 
 class SimilarMatch:
     def __init__(self):
@@ -77,19 +79,20 @@ class SimilarMatch:
         features = results.as_numpy("output__1")  # Shape (N, 64)
         return features
 
+    @RunTime
     def match_features(self, features):
         # 连接milvus
         # 连接milvus
         client = MilvusClient(uri="http://10.1.1.240:19530", db_name="mixi")
         try:
-            res = client.search(
+            search_response = client.search(
                 collection_name="mixi_outfit",  # Replace with the actual name of your collection
                 # Replace with your query vector
                 data=[features[0]],
                 limit=5,  # Max. number of search results to return
                 output_fields=["id", "image_path"],  # Search parameters
             )
-            return res
+            return search_response
         finally:
             client.close()
 
@@ -97,6 +100,6 @@ class SimilarMatch:
 if __name__ == '__main__':
     service = SimilarMatch()
     features = service.get_features(img_path="test/2024 SS/MKTS27000.jpg")
-    res = service.match_features(features)
+    search_response = service.match_features(features)
 
-    print(json.dumps(res, indent=4))
+    print(json.dumps(search_response, indent=4))

app/service/utils/decorator.py

@@ -9,6 +9,7 @@ def RunTime(func):
         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

test/attribute/infer_test.py

@@ -0,0 +1,110 @@
+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)

test/attribute/model.py

@@ -0,0 +1,56 @@
+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", ]

test/attribute_recognition_model_infer/attribute_recognition_model_infer.py

@@ -0,0 +1,51 @@
+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)

test/json/outfit_response.py

@@ -0,0 +1,273 @@
+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]}]

test/minio_client_test/minio_client.py

@@ -0,0 +1,12 @@
+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)