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feat generate 升级 attribute retrieve 迁移

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This commit is contained in:
zhouchengrong
2024-04-16 15:51:03 +08:00
parent 6b9fd16244
commit 835943b568
64 changed files with 1397 additions and 201 deletions
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45
app/api/api_attribute_retrieve.py Normal file
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@@ -0,0 +1,45 @@
import json
import logging
from fastapi import APIRouter
from app.schemas.attribute_retrieve import *
from app.service.attribute.config import const
from app.service.attribute.service_att_recognition import AttributeRecognition
from app.service.attribute.service_category_recognition import CategoryRecognition
router = APIRouter()
logger = logging.getLogger()
# 属性识别
@router.post("/attribute_recognition")
def attribute_recognition(request_item: list[AttributeRecognitionModel]):
try:
service = AttributeRecognition(const=const, request_data=request_item)
data = service.get_result()
code = 200
message = "access"
logger.info(f"attribute_recognition response @@@@@@:{json.dumps(data, indent=4)}")
except Exception as e:
code = 400
message = e
data = e
logger.warning(f"attribute_recognition Run Exception @@@@@@:{e}")
return {"code": code, "message": message, "data": data}
# 类别识别
@router.post("/category_recognition")
def category_recognition(request_item: list[CategoryRecognitionModel]):
try:
service = CategoryRecognition(request_data=request_item)
data = service.get_result()
code = 200
message = "access"
logger.info(f"category_recognition response @@@@@@:{json.dumps(data, indent=4)}")
except Exception as e:
code = 400
message = e
data = e
logger.warning(f"category_recognition Run Exception @@@@@@:{e}")
return {"code": code, "message": message, "data": data}

2
app/api/api_route.py
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@@ -3,9 +3,11 @@ from fastapi import APIRouter
from app.api import api_test from app.api import api_test
from app.api import api_super_resolution from app.api import api_super_resolution
from app.api import api_generate_image from app.api import api_generate_image
from app.api import api_attribute_retrieve
router = APIRouter() router = APIRouter()
router.include_router(api_test.router, tags=["test"], prefix="/test") router.include_router(api_test.router, tags=["test"], prefix="/test")
router.include_router(api_super_resolution.router, tags=["super_resolution"], prefix="/api") router.include_router(api_super_resolution.router, tags=["super_resolution"], prefix="/api")
router.include_router(api_generate_image.router, tags=["generate_image"], prefix="/api") router.include_router(api_generate_image.router, tags=["generate_image"], prefix="/api")
router.include_router(api_attribute_retrieve.router, tags=["attribute_retrieve"], prefix="/api")

20
app/core/config.py
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@@ -19,11 +19,13 @@ class Settings(BaseSettings):
LOGGING_CONFIG_FILE = os.path.join(BASE_DIR, 'logging_env.py') LOGGING_CONFIG_FILE = os.path.join(BASE_DIR, 'logging_env.py')
DEBUG = False DEBUG = True
if DEBUG: if DEBUG:
LOGS_PATH = "logs/errors.log" LOGS_PATH = "logs/"
CATEGORY_PATH = "service/attribute/config/descriptor/category/category_dis.csv"
else: else:
LOGS_PATH = "app/logs/errors.log" LOGS_PATH = "app/logs/"
CATEGORY_PATH = "app/service/attribute/config/descriptor/category/category_dis.csv"
# RABBITMQ_ENV = "" # 生产环境 # RABBITMQ_ENV = "" # 生产环境
RABBITMQ_ENV = "-dev" # 开发环境 RABBITMQ_ENV = "-dev" # 开发环境
@@ -32,8 +34,7 @@ RABBITMQ_ENV = "-dev" # 开发环境
settings = Settings() settings = Settings()
# minio 配置 # minio 配置
MINIO_IP = "www.minio.aida.com.hk" MINIO_URL = "www.minio.aida.com.hk:9000"
MINIO_PORT = 9000
MINIO_ACCESS = 'vXKFLSJkYeEq2DrSZvkB' MINIO_ACCESS = 'vXKFLSJkYeEq2DrSZvkB'
MINIO_SECRET = 'uKTZT3x7C43WvPN9QTc99DiRkwddWZrG9Uh3JVlR' MINIO_SECRET = 'uKTZT3x7C43WvPN9QTc99DiRkwddWZrG9Uh3JVlR'
MINIO_SECURE = True MINIO_SECURE = True
@@ -51,15 +52,18 @@ RABBITMQ_PARAMS = {
"virtual_host": "/" "virtual_host": "/"
} }
# attribute service config
ATT_TRITON_URL = "10.1.1.240:8020"
# SR service config # SR service config
SR_MODEL_NAME = "super_resolution" SR_MODEL_NAME = "super_resolution"
SR_TRITON_URL = "10.1.1.240:10031" SR_TRITON_URL = "10.1.1.240:10031"
SR_MINIO_BUCKET = "aida-users" SR_MINIO_BUCKET = "aida-users"
SR_RABBITMQ_QUEUES = os.getenv("SR_RABBITMQ_QUEUES", "SuperResolution-local") SR_RABBITMQ_QUEUES = os.getenv("SR_RABBITMQ_QUEUES", f"SuperResolution{RABBITMQ_ENV}")
# GenerateImage service config # GenerateImage service config
GI_MODEL_NAME = '_stable_diffusion' GI_MODEL_NAME = 'stable_diffusion_xl_lcm'
GI_MODEL_URL = '10.1.1.240:7001' GI_MODEL_URL = '10.1.1.150:8001'
GI_MINIO_BUCKET = "aida-users" GI_MINIO_BUCKET = "aida-users"
GI_RABBITMQ_QUEUES = os.getenv("GI_RABBITMQ_QUEUES", f"GenerateImage{RABBITMQ_ENV}") GI_RABBITMQ_QUEUES = os.getenv("GI_RABBITMQ_QUEUES", f"GenerateImage{RABBITMQ_ENV}")

1
app/main.py
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@@ -7,6 +7,7 @@ from app.api.api_route import router
from app.core.config import settings from app.core.config import settings
from logging_env import LOGGER_CONFIG_DICT from logging_env import LOGGER_CONFIG_DICT
logging.config.dictConfig(LOGGER_CONFIG_DICT) logging.config.dictConfig(LOGGER_CONFIG_DICT)
from starlette.middleware.cors import CORSMiddleware from starlette.middleware.cors import CORSMiddleware

12
app/schemas/attribute_retrieve.py Normal file
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@@ -0,0 +1,12 @@
from pydantic import BaseModel
class CategoryRecognitionModel(BaseModel):
colony: str
sketch_img_url: str
class AttributeRecognitionModel(BaseModel):
category: str
colony: str
sketch_img_url: str

11
app/schemas/generate_image.py
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@@ -2,11 +2,8 @@ from pydantic import BaseModel
class GenerateImageModel(BaseModel): class GenerateImageModel(BaseModel):
category: str
content: str
gender: str
image_url: str
mode: int
tasks_id: str tasks_id: str
user_id: int prompt: str
version: str image_url: str
mode: str
category: str

78
app/service/attribute/config/const.py Normal file
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@@ -0,0 +1,78 @@
top_description_list = ['service/attribute/config/descriptor/top/length.csv',
'service/attribute/config/descriptor/top/type.csv',
'service/attribute/config/descriptor/top/sleeve_length.csv',
'service/attribute/config/descriptor/top/sleeve_shape.csv',
'service/attribute/config/descriptor/top/sleeve_shoulder.csv',
'service/attribute/config/descriptor/top/neckline.csv',
'service/attribute/config/descriptor/top/design.csv',
'service/attribute/config/descriptor/top/opening_type.csv',
'service/attribute/config/descriptor/top/silhouette.csv',
'service/attribute/config/descriptor/top/collar.csv']
top_model_list = ['attr_retrieve_T_length',
'attr_retrieve_T_type',
'attr_retrieve_T_sleeve_length',
'attr_retrieve_T_sleeve_shape',
'attr_retrieve_T_sleeve_shoulder',
'attr_retrieve_T_neckline',
'attr_retrieve_T_design',
'attr_retrieve_T_optype',
'attr_retrieve_T_silhouette',
'attr_retrieve_T_collar'
]
bottom_description_list = [
'service/attribute/config/descriptor/bottom/subtype.csv',
'service/attribute/config/descriptor/bottom/length.csv',
'service/attribute/config/descriptor/bottom/silhouette.csv',
'service/attribute/config/descriptor/bottom/opening_type.csv',
'service/attribute/config/descriptor/bottom/design.csv']
bottom_model_list = [
'attr_retrieve_B_subtype',
'attr_retrieve_B_length',
'attr_retrieve_B_silhouette',
'attr_recong_B_optype',
'attr_retrieve_B_design']
outwear_description_list = ['service/attribute/config/descriptor/outwear/length.csv',
'service/attribute/config/descriptor/outwear/sleeve_length.csv',
'service/attribute/config/descriptor/outwear/sleeve_shape.csv',
'service/attribute/config/descriptor/outwear/sleeve_shoulder.csv',
'service/attribute/config/descriptor/outwear/collar.csv',
'service/attribute/config/descriptor/outwear/design.csv',
'service/attribute/config/descriptor/outwear/opening_type.csv',
'service/attribute/config/descriptor/outwear/silhouette.csv', ]
outwear_model_list = ['attr_recong_O_length',
'attr_retrieve_O_sleeve_length',
'attr_retrieve_O_sleeve_shape',
'attr_retrieve_O_sleeve_shoulder',
'attr_retrieve_O_collar',
'attr_retrieve_O_design',
'attr_recong_O_optype',
'attr_retrieve_O_silhouette']
dress_description_list = [ # 'service/attribute/config/descriptor/dress/D_length.csv',
'service/attribute/config/descriptor/dress/sleeve_length.csv',
'service/attribute/config/descriptor/dress/sleeve_shape.csv',
# 'service/attribute/config/descriptor/dress/D_sleeve_shoulder.csv',
'service/attribute/config/descriptor/dress/neckline.csv',
'service/attribute/config/descriptor/dress/collar.csv',
'service/attribute/config/descriptor/dress/design.csv',
'service/attribute/config/descriptor/dress/silhouette.csv',
'service/attribute/config/descriptor/dress/type.csv']
dress_model_list = [ # 'attr_recong_D_length',
'attr_retrieve_D_sleeve_length',
'attr_retrieve_D_sleeve_shape',
# 'attr_retrieve_D_sleeve_shoulder',
'attr_retrieve_D_neckline',
'attr_retrieve_D_collar',
'attr_retrieve_D_design',
'attr_retrieve_D_silohouette',
'attr_retrieve_D_type'
]
category_description = './description/category/category_dis.csv'
category_model = 'attr_retrieve_category'

28
app/service/attribute/config/descriptor/bottom/B_material.csv Normal file
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@@ -0,0 +1,28 @@
labelName,join_attr,taskName,taskId
Canvas,attr_Material_O_1,Material_B,8
Chambray,attr_Material_O_2,Material_B,8
Chenille,attr_Material_O_3,Material_B,8
Chiffon,attr_Material_O_4,Material_B,8
Corduroy,attr_Material_O_5,Material_B,8
Crepe,attr_Material_O_6,Material_B,8
Denim,attr_Material_O_7,Material_B,8
Faux_fur,attr_Material_O_8,Material_B,8
Faux_leather,attr_Material_O_9,Material_B,8
Flannel,attr_Material_O_10,Material_B,8
Fleece,attr_Material_O_11,Material_B,8
Gingham,attr_Material_O_12,Material_B,8
Jersey,attr_Material_O_13,Material_B,8
Knit,attr_Material_O_14,Material_B,8
Lace,attr_Material_O_15,Material_B,8
Lawn,attr_Material_O_16,Material_B,8
Neoprene,attr_Material_O_17,Material_B,8
Organza,attr_Material_O_18,Material_B,8
Plush,attr_Material_O_19,Material_B,8
Satin,attr_Material_O_20,Material_B,8
Serge,attr_Material_O_21,Material_B,8
Taffeta,attr_Material_O_22,Material_B,8
Tulle,attr_Material_O_23,Material_B,8
Tweed,attr_Material_O_24,Material_B,8
Twill,attr_Material_O_25,Material_B,8
Velvet,attr_Material_O_26,Material_B,8
Vinyl,attr_Material_O_27,Material_B,8
1 labelName join_attr taskName taskId
2 Canvas attr_Material_O_1 Material_B 8
3 Chambray attr_Material_O_2 Material_B 8
4 Chenille attr_Material_O_3 Material_B 8
5 Chiffon attr_Material_O_4 Material_B 8
6 Corduroy attr_Material_O_5 Material_B 8
7 Crepe attr_Material_O_6 Material_B 8
8 Denim attr_Material_O_7 Material_B 8
9 Faux_fur attr_Material_O_8 Material_B 8
10 Faux_leather attr_Material_O_9 Material_B 8
11 Flannel attr_Material_O_10 Material_B 8
12 Fleece attr_Material_O_11 Material_B 8
13 Gingham attr_Material_O_12 Material_B 8
14 Jersey attr_Material_O_13 Material_B 8
15 Knit attr_Material_O_14 Material_B 8
16 Lace attr_Material_O_15 Material_B 8
17 Lawn attr_Material_O_16 Material_B 8
18 Neoprene attr_Material_O_17 Material_B 8
19 Organza attr_Material_O_18 Material_B 8
20 Plush attr_Material_O_19 Material_B 8
21 Satin attr_Material_O_20 Material_B 8
22 Serge attr_Material_O_21 Material_B 8
23 Taffeta attr_Material_O_22 Material_B 8
24 Tulle attr_Material_O_23 Material_B 8
25 Tweed attr_Material_O_24 Material_B 8
26 Twill attr_Material_O_25 Material_B 8
27 Velvet attr_Material_O_26 Material_B 8
28 Vinyl attr_Material_O_27 Material_B 8

16
app/service/attribute/config/descriptor/bottom/B_print.csv Normal file
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@@ -0,0 +1,16 @@
labelName,join_attr,taskName,taskId
Abstract,attr_Print_O_1,Print_B,7
Allover,attr_Print_O_2,Print_B,7
Animal,attr_Print_O_3,Print_B,7
Camouflage,attr_Print_O_4,Print_B,7
Checks,attr_Print_O_5,Print_B,7
Color_block,attr_Print_O_6,Print_B,7
Disty print,attr_Print_O_7,Print_B,7
Dotted,attr_Print_O_8,Print_B,7
Floral,attr_Print_O_9,Print_B,7
Graphic print,attr_Print_O_10,Print_B,7
Logo and slogan,attr_Print_O_11,Print_B,7
Patchwork,attr_Print_O_12,Print_B,7
Plain,attr_Print_O_13,Print_B,7
Plain_dnim,attr_Print_O_14,Print_B,7
Stripe,attr_Print_O_15,Print_B,7
1 labelName join_attr taskName taskId
2 Abstract attr_Print_O_1 Print_B 7
3 Allover attr_Print_O_2 Print_B 7
4 Animal attr_Print_O_3 Print_B 7
5 Camouflage attr_Print_O_4 Print_B 7
6 Checks attr_Print_O_5 Print_B 7
7 Color_block attr_Print_O_6 Print_B 7
8 Disty print attr_Print_O_7 Print_B 7
9 Dotted attr_Print_O_8 Print_B 7
10 Floral attr_Print_O_9 Print_B 7
11 Graphic print attr_Print_O_10 Print_B 7
12 Logo and slogan attr_Print_O_11 Print_B 7
13 Patchwork attr_Print_O_12 Print_B 7
14 Plain attr_Print_O_13 Print_B 7
15 Plain_dnim attr_Print_O_14 Print_B 7
16 Stripe attr_Print_O_15 Print_B 7

4
app/service/attribute/config/descriptor/bottom/B_softness.csv Normal file
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@@ -0,0 +1,4 @@
labelName,join_attr,taskName,taskId
B_softness_Soft,attr_Softness_B_1,Softness_B,5
B_softness_Medium,attr_Softness_B_2,Softness_B,5
B_softness_Hard,attr_Softness_B_3,Softness_B,5
1 labelName join_attr taskName taskId
2 B_softness_Soft attr_Softness_B_1 Softness_B 5
3 B_softness_Medium attr_Softness_B_2 Softness_B 5
4 B_softness_Hard attr_Softness_B_3 Softness_B 5

17
app/service/attribute/config/descriptor/bottom/design.csv Normal file
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@@ -0,0 +1,17 @@
labelName,join_attr,taskName,taskId
Asymmetrical,attr_Design_B_1,Design_B,6
Tiered,attr_Design_B_2,Design_B,6
Tassel,attr_Design_B_3,Design_B,6
Ruffle,attr_Design_B_4,Design_B,6
Pleated,attr_Design_B_5,Design_B,6
Wrap,attr_Design_B_6,Design_B,6
Ripped,attr_Design_B_7,Design_B,6
Cut_out,attr_Design_B_8,Design_B,6
Eyelet,attr_Design_B_9,Design_B,6
Folded,attr_Design_B_10,Design_B,6
Tied,attr_Design_B_11,Design_B,6
Drapes,attr_Design_B_12,Design_B,6
Ribbon,attr_Design_B_13,Design_B,6
Button,attr_Design_B_14,Design_B,6
Split,attr_Design_B_15,Design_B,6
Fishtail,attr_Design_B_16,Design_B,6
1 labelName join_attr taskName taskId
2 Asymmetrical attr_Design_B_1 Design_B 6
3 Tiered attr_Design_B_2 Design_B 6
4 Tassel attr_Design_B_3 Design_B 6
5 Ruffle attr_Design_B_4 Design_B 6
6 Pleated attr_Design_B_5 Design_B 6
7 Wrap attr_Design_B_6 Design_B 6
8 Ripped attr_Design_B_7 Design_B 6
9 Cut_out attr_Design_B_8 Design_B 6
10 Eyelet attr_Design_B_9 Design_B 6
11 Folded attr_Design_B_10 Design_B 6
12 Tied attr_Design_B_11 Design_B 6
13 Drapes attr_Design_B_12 Design_B 6
14 Ribbon attr_Design_B_13 Design_B 6
15 Button attr_Design_B_14 Design_B 6
16 Split attr_Design_B_15 Design_B 6
17 Fishtail attr_Design_B_16 Design_B 6

6
app/service/attribute/config/descriptor/bottom/length.csv Normal file
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@@ -0,0 +1,6 @@
labelName,join_attr,taskName,taskId
Short,attr_BTM_length_1,BTM_length,3
Middle,attr_BTM_length_2,BTM_length,3
Seven,attr_BTM_length_3,BTM_length,3
Nine,attr_BTM_length_4,BTM_length,3
Long,attr_BTM_length_5,BTM_length,3
1 labelName join_attr taskName taskId
2 Short attr_BTM_length_1 BTM_length 3
3 Middle attr_BTM_length_2 BTM_length 3
4 Seven attr_BTM_length_3 BTM_length 3
5 Nine attr_BTM_length_4 BTM_length 3
6 Long attr_BTM_length_5 BTM_length 3

6
app/service/attribute/config/descriptor/bottom/opening_type.csv Normal file
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@@ -0,0 +1,6 @@
labelName,join_attr,taskName,taskId
Button,attr_OPType_B_1,OPType_B,7
Zipper,attr_OPType_B_2,OPType_B,7
Thread,attr_OPType_B_3,OPType_B,7
Hook,attr_OPType_B_4,OPType_B,7
Elastic,attr_OPType_B_5,OPType_B,7
1 labelName join_attr taskName taskId
2 Button attr_OPType_B_1 OPType_B 7
3 Zipper attr_OPType_B_2 OPType_B 7
4 Thread attr_OPType_B_3 OPType_B 7
5 Hook attr_OPType_B_4 OPType_B 7
6 Elastic attr_OPType_B_5 OPType_B 7

6
app/service/attribute/config/descriptor/bottom/silhouette.csv Normal file
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@@ -0,0 +1,6 @@
labelName,join_attr,taskName,taskId
A_Line,attr_Silhouette_B_1,Silhouette_B,8
H_Shape,attr_Silhouette_B_2,Silhouette_B,8
Slim,attr_Silhouette_B_3,Silhouette_B,8
Peg_leg,attr_Silhouette_B_4,Silhouette_B,8
Peplum,attr_Silhouette_B_5,Silhouette_B,8
1 labelName join_attr taskName taskId
2 A_Line attr_Silhouette_B_1 Silhouette_B 8
3 H_Shape attr_Silhouette_B_2 Silhouette_B 8
4 Slim attr_Silhouette_B_3 Silhouette_B 8
5 Peg_leg attr_Silhouette_B_4 Silhouette_B 8
6 Peplum attr_Silhouette_B_5 Silhouette_B 8

21
app/service/attribute/config/descriptor/bottom/subtype.csv Normal file
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@@ -0,0 +1,21 @@
labelName,join_attr,taskName,taskId
A_Line_Skirt,bottom_Sub-Type_1,BTM_Sub-Type,2
Bodycon_Skirt,bottom_Sub-Type_2,BTM_Sub-Type,2
Boot_Cut,bottom_Sub-Type_3,BTM_Sub-Type,2
Bubble_skirt,bottom_Sub-Type_4,BTM_Sub-Type,2
Cargo_Pants,bottom_Sub-Type_5,BTM_Sub-Type,2
Culottes,bottom_Sub-Type_6,BTM_Sub-Type,2
Handkerchief_Skirt,bottom_Sub-Type_7,BTM_Sub-Type,2
Jeans,bottom_Sub-Type_8,BTM_Sub-Type,2
Joggers,bottom_Sub-Type_9,BTM_Sub-Type,2
Leather_pants,bottom_Sub-Type_10,BTM_Sub-Type,2
Leggings,bottom_Sub-Type_11,BTM_Sub-Type,2
Mermaid,bottom_Sub-Type_12,BTM_Sub-Type,2
Pattened_pants,bottom_Sub-Type_13,BTM_Sub-Type,2
Peg_leg_Pants_Cigarette_Pants,bottom_Sub-Type_14,BTM_Sub-Type,2
Pencil_Skirt,bottom_Sub-Type_15,BTM_Sub-Type,2
Pleated_Skirt,bottom_Sub-Type_16,BTM_Sub-Type,2
Shorts,bottom_Sub-Type_17,BTM_Sub-Type,2
Skater_Skirt,bottom_Sub-Type_18,BTM_Sub-Type,2
Suit_Trousers,bottom_Sub-Type_19,BTM_Sub-Type,2
Tier_Skirt,bottom_Sub-Type_20,BTM_Sub-Type,2
1 labelName join_attr taskName taskId
2 A_Line_Skirt bottom_Sub-Type_1 BTM_Sub-Type 2
3 Bodycon_Skirt bottom_Sub-Type_2 BTM_Sub-Type 2
4 Boot_Cut bottom_Sub-Type_3 BTM_Sub-Type 2
5 Bubble_skirt bottom_Sub-Type_4 BTM_Sub-Type 2
6 Cargo_Pants bottom_Sub-Type_5 BTM_Sub-Type 2
7 Culottes bottom_Sub-Type_6 BTM_Sub-Type 2
8 Handkerchief_Skirt bottom_Sub-Type_7 BTM_Sub-Type 2
9 Jeans bottom_Sub-Type_8 BTM_Sub-Type 2
10 Joggers bottom_Sub-Type_9 BTM_Sub-Type 2
11 Leather_pants bottom_Sub-Type_10 BTM_Sub-Type 2
12 Leggings bottom_Sub-Type_11 BTM_Sub-Type 2
13 Mermaid bottom_Sub-Type_12 BTM_Sub-Type 2
14 Pattened_pants bottom_Sub-Type_13 BTM_Sub-Type 2
15 Peg_leg_Pants_Cigarette_Pants bottom_Sub-Type_14 BTM_Sub-Type 2
16 Pencil_Skirt bottom_Sub-Type_15 BTM_Sub-Type 2
17 Pleated_Skirt bottom_Sub-Type_16 BTM_Sub-Type 2
18 Shorts bottom_Sub-Type_17 BTM_Sub-Type 2
19 Skater_Skirt bottom_Sub-Type_18 BTM_Sub-Type 2
20 Suit_Trousers bottom_Sub-Type_19 BTM_Sub-Type 2
21 Tier_Skirt bottom_Sub-Type_20 BTM_Sub-Type 2

7
app/service/attribute/config/descriptor/category/category_dis.csv Normal file
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@@ -0,0 +1,7 @@
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
1 labelName join_attr taskName taskId
2 top attr_top category 1
3 pants attr_pants category 1
4 skirt attr_skirt category 1
5 dress attr_dress category 1
6 outwear attr_outwear category 1
7 jumpsuit attr_jumpsuit category 1

16
app/service/attribute/config/descriptor/dress/D_Print.csv Normal file
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@@ -0,0 +1,16 @@
labelName,join_attr,taskName,taskId
Abstract,attr_Print_O_1,Print_D,7
Allover,attr_Print_O_2,Print_D,7
Animal,attr_Print_O_3,Print_D,7
Camouflage,attr_Print_O_4,Print_D,7
Checks,attr_Print_O_5,Print_D,7
Color_block,attr_Print_O_6,Print_D,7
Disty print,attr_Print_O_7,Print_D,7
Dotted,attr_Print_O_8,Print_D,7
Floral,attr_Print_O_9,Print_D,7
Graphic print,attr_Print_O_10,Print_D,7
Logo and slogan,attr_Print_O_11,Print_D,7
Patchwork,attr_Print_O_12,Print_D,7
Plain,attr_Print_O_13,Print_D,7
Plain_dnim,attr_Print_O_14,Print_D,7
Stripe,attr_Print_O_15,Print_D,7
1 labelName join_attr taskName taskId
2 Abstract attr_Print_O_1 Print_D 7
3 Allover attr_Print_O_2 Print_D 7
4 Animal attr_Print_O_3 Print_D 7
5 Camouflage attr_Print_O_4 Print_D 7
6 Checks attr_Print_O_5 Print_D 7
7 Color_block attr_Print_O_6 Print_D 7
8 Disty print attr_Print_O_7 Print_D 7
9 Dotted attr_Print_O_8 Print_D 7
10 Floral attr_Print_O_9 Print_D 7
11 Graphic print attr_Print_O_10 Print_D 7
12 Logo and slogan attr_Print_O_11 Print_D 7
13 Patchwork attr_Print_O_12 Print_D 7
14 Plain attr_Print_O_13 Print_D 7
15 Plain_dnim attr_Print_O_14 Print_D 7
16 Stripe attr_Print_O_15 Print_D 7

28
app/service/attribute/config/descriptor/dress/D_material.csv Normal file
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labelName,join_attr,taskName,taskId
Canvas,attr_Material_O_1,Material_D,8
Chambray,attr_Material_O_2,Material_D,8
Chenille,attr_Material_O_3,Material_D,8
Chiffon,attr_Material_O_4,Material_D,8
Corduroy,attr_Material_O_5,Material_D,8
Crepe,attr_Material_O_6,Material_D,8
Denim,attr_Material_O_7,Material_D,8
Faux_fur,attr_Material_O_8,Material_D,8
Faux_leather,attr_Material_O_9,Material_D,8
Flannel,attr_Material_O_10,Material_D,8
Fleece,attr_Material_O_11,Material_D,8
Gingham,attr_Material_O_12,Material_D,8
Jersey,attr_Material_O_13,Material_D,8
Knit,attr_Material_O_14,Material_D,8
Lace,attr_Material_O_15,Material_D,8
Lawn,attr_Material_O_16,Material_D,8
Neoprene,attr_Material_O_17,Material_D,8
Organza,attr_Material_O_18,Material_D,8
Plush,attr_Material_O_19,Material_D,8
Satin,attr_Material_O_20,Material_D,8
Serge,attr_Material_O_21,Material_D,8
Taffeta,attr_Material_O_22,Material_D,8
Tulle,attr_Material_O_23,Material_D,8
Tweed,attr_Material_O_24,Material_D,8
Twill,attr_Material_O_25,Material_D,8
Velvet,attr_Material_O_26,Material_D,8
Vinyl,attr_Material_O_27,Material_D,8
1 labelName join_attr taskName taskId
2 Canvas attr_Material_O_1 Material_D 8
3 Chambray attr_Material_O_2 Material_D 8
4 Chenille attr_Material_O_3 Material_D 8
5 Chiffon attr_Material_O_4 Material_D 8
6 Corduroy attr_Material_O_5 Material_D 8
7 Crepe attr_Material_O_6 Material_D 8
8 Denim attr_Material_O_7 Material_D 8
9 Faux_fur attr_Material_O_8 Material_D 8
10 Faux_leather attr_Material_O_9 Material_D 8
11 Flannel attr_Material_O_10 Material_D 8
12 Fleece attr_Material_O_11 Material_D 8
13 Gingham attr_Material_O_12 Material_D 8
14 Jersey attr_Material_O_13 Material_D 8
15 Knit attr_Material_O_14 Material_D 8
16 Lace attr_Material_O_15 Material_D 8
17 Lawn attr_Material_O_16 Material_D 8
18 Neoprene attr_Material_O_17 Material_D 8
19 Organza attr_Material_O_18 Material_D 8
20 Plush attr_Material_O_19 Material_D 8
21 Satin attr_Material_O_20 Material_D 8
22 Serge attr_Material_O_21 Material_D 8
23 Taffeta attr_Material_O_22 Material_D 8
24 Tulle attr_Material_O_23 Material_D 8
25 Tweed attr_Material_O_24 Material_D 8
26 Twill attr_Material_O_25 Material_D 8
27 Velvet attr_Material_O_26 Material_D 8
28 Vinyl attr_Material_O_27 Material_D 8

4
app/service/attribute/config/descriptor/dress/D_softness.csv Normal file
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labelName,join_attr,taskName,taskId
Soft,attr_Softness_U_1,Softness_D,9
Medium,attr_Softness_U_2,Softness_D,9
Hard,attr_Softness_U_3,Softness_D,9
1 labelName join_attr taskName taskId
2 Soft attr_Softness_U_1 Softness_D 9
3 Medium attr_Softness_U_2 Softness_D 9
4 Hard attr_Softness_U_3 Softness_D 9

11
app/service/attribute/config/descriptor/dress/collar.csv Normal file
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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
1 labelName join_attr taskName taskId
2 Peterpan attr_Collar_1 Collar 7
3 Shirt attr_Collar_2 Collar 7
4 Rib attr_Collar_3 Collar 7
5 Turtle attr_Collar_4 Collar 7
6 Lapel attr_Collar_5 Collar 7
7 Hoodie attr_Collar_6 Collar 7
8 Mandarin attr_Collar_7 Collar 7
9 Tie attr_Collar_8 Collar 7
10 Ruffle attr_Collar_9 Collar 7
11 Cowl attr_Collar_10 Collar 7

19
app/service/attribute/config/descriptor/dress/design.csv Normal file
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labelName,join_attr,taskName,taskId
Asymmetrical,attr_Design_U_1,Design_D,9
Tiered,attr_Design_U_2,Design_D,9
Tassel,attr_Design_U_3,Design_D,9
Ruffle,attr_Design_U_4,Design_D,9
Pleated,attr_Design_U_5,Design_D,9
Wrap,attr_Design_U_6,Design_D,9
Ripped,attr_Design_U_7,Design_D,9
Cut_out,attr_Design_U_8,Design_D,9
Eyelet,attr_Design_U_9,Design_D,9
Folded,attr_Design_U_10,Design_D,9
Tied,attr_Design_U_11,Design_D,9
Drapes,attr_Design_U_12,Design_D,9
Ribbon,attr_Design_U_13,Design_D,9
Button,attr_Design_U_14,Design_D,9
Split,attr_Design_U_15,Design_D,9
Fishtail,attr_Design_U_16,Design_D,9
Cami_dress,attr_Design_U_17,Design_D,9
Gathering,attr_Design_U_18,Design_D,9
1 labelName join_attr taskName taskId
2 Asymmetrical attr_Design_U_1 Design_D 9
3 Tiered attr_Design_U_2 Design_D 9
4 Tassel attr_Design_U_3 Design_D 9
5 Ruffle attr_Design_U_4 Design_D 9
6 Pleated attr_Design_U_5 Design_D 9
7 Wrap attr_Design_U_6 Design_D 9
8 Ripped attr_Design_U_7 Design_D 9
9 Cut_out attr_Design_U_8 Design_D 9
10 Eyelet attr_Design_U_9 Design_D 9
11 Folded attr_Design_U_10 Design_D 9
12 Tied attr_Design_U_11 Design_D 9
13 Drapes attr_Design_U_12 Design_D 9
14 Ribbon attr_Design_U_13 Design_D 9
15 Button attr_Design_U_14 Design_D 9
16 Split attr_Design_U_15 Design_D 9
17 Fishtail attr_Design_U_16 Design_D 9
18 Cami_dress attr_Design_U_17 Design_D 9
19 Gathering attr_Design_U_18 Design_D 9

6
app/service/attribute/config/descriptor/dress/length.csv Normal file
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labelName,join_attr,taskName,taskId
Maxi,attr_Dress_length_1,Dress_length,1
Midi,attr_Dress_length_2,Dress_length,1
Mini,attr_Dress_length_3,Dress_length,1
Over_the_knee,attr_Dress_length_4,Dress_length,1
Floor_Length,attr_Dress_length_5,Dress_length,1
1 labelName join_attr taskName taskId
2 Maxi attr_Dress_length_1 Dress_length 1
3 Midi attr_Dress_length_2 Dress_length 1
4 Mini attr_Dress_length_3 Dress_length 1
5 Over_the_knee attr_Dress_length_4 Dress_length 1
6 Floor_Length attr_Dress_length_5 Dress_length 1

17
app/service/attribute/config/descriptor/dress/neckline.csv Normal file
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labelName,join_attr,taskName,taskId
Round,attr_Neckline_D_1,Neckline_D,5
V,attr_Neckline_D_2,Neckline_D,5
Square,attr_Neckline_D_3,Neckline_D,5
One_shoulder,attr_Neckline_D_4,Neckline_D,5
Off_shoulder,attr_Neckline_D_5,Neckline_D,5
Strapless,attr_Neckline_D_6,Neckline_D,5
Turtle,attr_Neckline_D_7,Neckline_D,5
Boat,attr_Neckline_D_8,Neckline_D,5
Halter,attr_Neckline_D_9,Neckline_D,5
Spaghetti_Strap,attr_Neckline_D_10,Neckline_D,5
Sweetheart,attr_Neckline_D_11,Neckline_D,5
U,attr_Neckline_D_12,Neckline_D,5
Choker,attr_Neckline_D_13,Neckline_D,5
Cowl,attr_Neckline_D_14,Neckline_D,5
Keyhole,attr_Neckline_D_15,Neckline_D,5
Split,attr_Neckline_D_16,Neckline_D,5
1 labelName join_attr taskName taskId
2 Round attr_Neckline_D_1 Neckline_D 5
3 V attr_Neckline_D_2 Neckline_D 5
4 Square attr_Neckline_D_3 Neckline_D 5
5 One_shoulder attr_Neckline_D_4 Neckline_D 5
6 Off_shoulder attr_Neckline_D_5 Neckline_D 5
7 Strapless attr_Neckline_D_6 Neckline_D 5
8 Turtle attr_Neckline_D_7 Neckline_D 5
9 Boat attr_Neckline_D_8 Neckline_D 5
10 Halter attr_Neckline_D_9 Neckline_D 5
11 Spaghetti_Strap attr_Neckline_D_10 Neckline_D 5
12 Sweetheart attr_Neckline_D_11 Neckline_D 5
13 U attr_Neckline_D_12 Neckline_D 5
14 Choker attr_Neckline_D_13 Neckline_D 5
15 Cowl attr_Neckline_D_14 Neckline_D 5
16 Keyhole attr_Neckline_D_15 Neckline_D 5
17 Split attr_Neckline_D_16 Neckline_D 5

5
app/service/attribute/config/descriptor/dress/opening_type.csv Normal file
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@@ -0,0 +1,5 @@
labelName,join_attr,taskName,taskId
Button,attr_OPType_U_1,OPType_D,11
Zipper,attr_OPType_U_2,OPType_D,11
Thread,attr_OPType_U_3,OPType_D,11
Hook,attr_OPType_U_4,OPType_D,11
1 labelName join_attr taskName taskId
2 Button attr_OPType_U_1 OPType_D 11
3 Zipper attr_OPType_U_2 OPType_D 11
4 Thread attr_OPType_U_3 OPType_D 11
5 Hook attr_OPType_U_4 OPType_D 11

11
app/service/attribute/config/descriptor/dress/silhouette.csv Normal file
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@@ -0,0 +1,11 @@
labelName,join_attr,taskName,taskId
A_Line,attr_Silhouette_U_1,Silhouette_D,11
H_Shape,attr_Silhouette_U_2,Silhouette_D,11
Slim,attr_Silhouette_U_3,Silhouette_D,11
Oversized,attr_Silhouette_U_4,Silhouette_D,11
Cacoon,attr_Silhouette_U_5,Silhouette_D,11
Empire,attr_Silhouette_U_6,Silhouette_D,11
Hourglass,attr_Silhouette_U_7,Silhouette_D,11
Mermaid,attr_Silhouette_U_8,Silhouette_D,11
Sheath,attr_Silhouette_U_9,Silhouette_D,11
Tent,attr_Silhouette_U_10,Silhouette_D,11
1 labelName join_attr taskName taskId
2 A_Line attr_Silhouette_U_1 Silhouette_D 11
3 H_Shape attr_Silhouette_U_2 Silhouette_D 11
4 Slim attr_Silhouette_U_3 Silhouette_D 11
5 Oversized attr_Silhouette_U_4 Silhouette_D 11
6 Cacoon attr_Silhouette_U_5 Silhouette_D 11
7 Empire attr_Silhouette_U_6 Silhouette_D 11
8 Hourglass attr_Silhouette_U_7 Silhouette_D 11
9 Mermaid attr_Silhouette_U_8 Silhouette_D 11
10 Sheath attr_Silhouette_U_9 Silhouette_D 11
11 Tent attr_Silhouette_U_10 Silhouette_D 11

6
app/service/attribute/config/descriptor/dress/sleeve_length.csv Normal file
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@@ -0,0 +1,6 @@
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
1 labelName join_attr taskName taskId
2 Sleeveless attr_Sleeve_length_1 Sleeve_length 3
3 Short attr_Sleeve_length_2 Sleeve_length 3
4 Middle attr_Sleeve_length_3 Sleeve_length 3
5 Seven attr_Sleeve_length_4 Sleeve_length 3
6 Long attr_Sleeve_length_5 Sleeve_length 3

9
app/service/attribute/config/descriptor/dress/sleeve_shape.csv Normal file
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@@ -0,0 +1,9 @@
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
1 labelName join_attr taskName taskId
2 Regular attr_Sleeve_shape_1 Sleeve_shape 4
3 Slim attr_Sleeve_shape_2 Sleeve_shape 4
4 Puff attr_Sleeve_shape_3 Sleeve_shape 4
5 Bell attr_Sleeve_shape_4 Sleeve_shape 4
6 Batwing attr_Sleeve_shape_5 Sleeve_shape 4
7 Shirt attr_Sleeve_shape_6 Sleeve_shape 4
8 Rib attr_Sleeve_shape_7 Sleeve_shape 4
9 Raglan attr_Sleeve_shape_8 Sleeve_shape 4

5
app/service/attribute/config/descriptor/dress/sleeve_shoulder.csv Normal file
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@@ -0,0 +1,5 @@
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
1 labelName join_attr taskName taskId
2 Regular attr_Sleeve_shoulder_1 Sleeve_shoulder 5
3 Cold attr_Sleeve_shoulder_2 Sleeve_shoulder 5
4 Tucked attr_Sleeve_shoulder_3 Sleeve_shoulder 5
5 Balmain attr_Sleeve_shoulder_4 Sleeve_shoulder 5

20
app/service/attribute/config/descriptor/dress/type.csv Normal file
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@@ -0,0 +1,20 @@
labelName,join_attr,taskName,taskId
Evening_gown,attr_dresstype_1,Dress_Type,12
Shirt_dress,attr_dresstype_2,Dress_Type,12
Coat_dress,attr_dresstype_3,Dress_Type,12
Handkerchief_dress,attr_dresstype_4,Dress_Type,12
Jumper_dress,attr_dresstype_5,Dress_Type,12
Dungaree_dress,attr_dresstype_6,Dress_Type,12
Skater_dress,attr_dresstype_7,Dress_Type,12
Tea_dress,attr_dresstype_8,Dress_Type,12
Mermaid_dress,attr_dresstype_9,Dress_Type,12
Cocktail_dress,attr_dresstype_10,Dress_Type,12
A_Line_dress,attr_dresstype_11,Dress_Type,12
Bodycon_dress,attr_dresstype_12,Dress_Type,12
Maxi_dress,attr_dresstype_13,Dress_Type,12
Office_dress,attr_dresstype_14,Dress_Type,12
Pencil_dress,attr_dresstype_15,Dress_Type,12
Sheer_dress,attr_dresstype_16,Dress_Type,12
Shift_dress,attr_dresstype_17,Dress_Type,12
Slip_dress,attr_dresstype_18,Dress_Type,12
T_shirt_dress,attr_dresstype_19,Dress_Type,12
1 labelName join_attr taskName taskId
2 Evening_gown attr_dresstype_1 Dress_Type 12
3 Shirt_dress attr_dresstype_2 Dress_Type 12
4 Coat_dress attr_dresstype_3 Dress_Type 12
5 Handkerchief_dress attr_dresstype_4 Dress_Type 12
6 Jumper_dress attr_dresstype_5 Dress_Type 12
7 Dungaree_dress attr_dresstype_6 Dress_Type 12
8 Skater_dress attr_dresstype_7 Dress_Type 12
9 Tea_dress attr_dresstype_8 Dress_Type 12
10 Mermaid_dress attr_dresstype_9 Dress_Type 12
11 Cocktail_dress attr_dresstype_10 Dress_Type 12
12 A_Line_dress attr_dresstype_11 Dress_Type 12
13 Bodycon_dress attr_dresstype_12 Dress_Type 12
14 Maxi_dress attr_dresstype_13 Dress_Type 12
15 Office_dress attr_dresstype_14 Dress_Type 12
16 Pencil_dress attr_dresstype_15 Dress_Type 12
17 Sheer_dress attr_dresstype_16 Dress_Type 12
18 Shift_dress attr_dresstype_17 Dress_Type 12
19 Slip_dress attr_dresstype_18 Dress_Type 12
20 T_shirt_dress attr_dresstype_19 Dress_Type 12

28
app/service/attribute/config/descriptor/outwear/O_material.csv Normal file
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labelName,join_attr,taskName,taskId
Canvas,attr_Material_O_1,Material_O,8
Chambray,attr_Material_O_2,Material_O,8
Chenille,attr_Material_O_3,Material_O,8
Chiffon,attr_Material_O_4,Material_O,8
Corduroy,attr_Material_O_5,Material_O,8
Crepe,attr_Material_O_6,Material_O,8
Denim,attr_Material_O_7,Material_O,8
Faux_fur,attr_Material_O_8,Material_O,8
Faux_leather,attr_Material_O_9,Material_O,8
Flannel,attr_Material_O_10,Material_O,8
Fleece,attr_Material_O_11,Material_O,8
Gingham,attr_Material_O_12,Material_O,8
Jersey,attr_Material_O_13,Material_O,8
Knit,attr_Material_O_14,Material_O,8
Lace,attr_Material_O_15,Material_O,8
Lawn,attr_Material_O_16,Material_O,8
Neoprene,attr_Material_O_17,Material_O,8
Organza,attr_Material_O_18,Material_O,8
Plush,attr_Material_O_19,Material_O,8
Satin,attr_Material_O_20,Material_O,8
Serge,attr_Material_O_21,Material_O,8
Taffeta,attr_Material_O_22,Material_O,8
Tulle,attr_Material_O_23,Material_O,8
Tweed,attr_Material_O_24,Material_O,8
Twill,attr_Material_O_25,Material_O,8
Velvet,attr_Material_O_26,Material_O,8
Vinyl,attr_Material_O_27,Material_O,8
1 labelName join_attr taskName taskId
2 Canvas attr_Material_O_1 Material_O 8
3 Chambray attr_Material_O_2 Material_O 8
4 Chenille attr_Material_O_3 Material_O 8
5 Chiffon attr_Material_O_4 Material_O 8
6 Corduroy attr_Material_O_5 Material_O 8
7 Crepe attr_Material_O_6 Material_O 8
8 Denim attr_Material_O_7 Material_O 8
9 Faux_fur attr_Material_O_8 Material_O 8
10 Faux_leather attr_Material_O_9 Material_O 8
11 Flannel attr_Material_O_10 Material_O 8
12 Fleece attr_Material_O_11 Material_O 8
13 Gingham attr_Material_O_12 Material_O 8
14 Jersey attr_Material_O_13 Material_O 8
15 Knit attr_Material_O_14 Material_O 8
16 Lace attr_Material_O_15 Material_O 8
17 Lawn attr_Material_O_16 Material_O 8
18 Neoprene attr_Material_O_17 Material_O 8
19 Organza attr_Material_O_18 Material_O 8
20 Plush attr_Material_O_19 Material_O 8
21 Satin attr_Material_O_20 Material_O 8
22 Serge attr_Material_O_21 Material_O 8
23 Taffeta attr_Material_O_22 Material_O 8
24 Tulle attr_Material_O_23 Material_O 8
25 Tweed attr_Material_O_24 Material_O 8
26 Twill attr_Material_O_25 Material_O 8
27 Velvet attr_Material_O_26 Material_O 8
28 Vinyl attr_Material_O_27 Material_O 8

16
app/service/attribute/config/descriptor/outwear/O_print.csv Normal file
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@@ -0,0 +1,16 @@
labelName,join_attr,taskName,taskId
Abstract,attr_Print_O_1,Print_O,7
Allover,attr_Print_O_2,Print_O,7
Animal,attr_Print_O_3,Print_O,7
Camouflage,attr_Print_O_4,Print_O,7
Checks,attr_Print_O_5,Print_O,7
Color_block,attr_Print_O_6,Print_O,7
Disty print,attr_Print_O_7,Print_O,7
Dotted,attr_Print_O_8,Print_O,7
Floral,attr_Print_O_9,Print_O,7
Graphic print,attr_Print_O_10,Print_O,7
Logo and slogan,attr_Print_O_11,Print_O,7
Patchwork,attr_Print_O_12,Print_O,7
Plain,attr_Print_O_13,Print_O,7
Plain_dnim,attr_Print_O_14,Print_O,7
Stripe,attr_Print_O_15,Print_O,7
1 labelName join_attr taskName taskId
2 Abstract attr_Print_O_1 Print_O 7
3 Allover attr_Print_O_2 Print_O 7
4 Animal attr_Print_O_3 Print_O 7
5 Camouflage attr_Print_O_4 Print_O 7
6 Checks attr_Print_O_5 Print_O 7
7 Color_block attr_Print_O_6 Print_O 7
8 Disty print attr_Print_O_7 Print_O 7
9 Dotted attr_Print_O_8 Print_O 7
10 Floral attr_Print_O_9 Print_O 7
11 Graphic print attr_Print_O_10 Print_O 7
12 Logo and slogan attr_Print_O_11 Print_O 7
13 Patchwork attr_Print_O_12 Print_O 7
14 Plain attr_Print_O_13 Print_O 7
15 Plain_dnim attr_Print_O_14 Print_O 7
16 Stripe attr_Print_O_15 Print_O 7

4
app/service/attribute/config/descriptor/outwear/O_softness.csv Normal file
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@@ -0,0 +1,4 @@
labelName,join_attr,taskName,taskId
O_softness_Soft,attr_Softness_O_1,Softness_O,9
O_softness_Medium,attr_Softness_O_2,Softness_O,9
O_softness_Hard,attr_Softness_O_3,Softness_O,9
1 labelName join_attr taskName taskId
2 O_softness_Soft attr_Softness_O_1 Softness_O 9
3 O_softness_Medium attr_Softness_O_2 Softness_O 9
4 O_softness_Hard attr_Softness_O_3 Softness_O 9

10
app/service/attribute/config/descriptor/outwear/collar.csv Normal file
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@@ -0,0 +1,10 @@
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
1 labelName join_attr taskName taskId
2 Peterpan attr_Callar_O_1 Collar 6
3 Shirt attr_Callar_O_2 Collar 6
4 Rib attr_Callar_O_3 Collar 6
5 Turtle attr_Callar_O_4 Collar 6
6 Lapel attr_Callar_O_5 Collar 6
7 Hoodie attr_Callar_O_6 Collar 6
8 Mandarin attr_Callar_O_7 Collar 6
9 Ruffle attr_Callar_O_8 Collar 6
10 Jewel attr_Callar_O_9 Collar 6

19
app/service/attribute/config/descriptor/outwear/design.csv Normal file
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labelName,join_attr,taskName,taskId
Asymmetrical,attr_Design_O_1,Design_O,10
Tiered,attr_Design_O_2,Design_O,10
Tassel,attr_Design_O_3,Design_O,10
Ruffles,attr_Design_O_4,Design_O,10
Pleated,attr_Design_O_5,Design_O,10
Wrap,attr_Design_O_6,Design_O,10
Ripped,attr_Design_O_7,Design_O,10
Cut_out,attr_Design_O_8,Design_O,10
Eyelet,attr_Design_O_9,Design_O,10
Folded,attr_Design_O_10,Design_O,10
Tied,attr_Design_O_11,Design_O,10
Drapes,attr_Design_O_12,Design_O,10
Ribbon,attr_Design_O_13,Design_O,10
Button,attr_Design_O_14,Design_O,10
Crossed_over_zipper,attr_Design_O_15,Design_O,10
Crossed_over_button,attr_Design_O_16,Design_O,10
Single_breasted,attr_Design_O_17,Design_O,10
Double_breasted,attr_Design_O_18,Design_O,10
1 labelName join_attr taskName taskId
2 Asymmetrical attr_Design_O_1 Design_O 10
3 Tiered attr_Design_O_2 Design_O 10
4 Tassel attr_Design_O_3 Design_O 10
5 Ruffles attr_Design_O_4 Design_O 10
6 Pleated attr_Design_O_5 Design_O 10
7 Wrap attr_Design_O_6 Design_O 10
8 Ripped attr_Design_O_7 Design_O 10
9 Cut_out attr_Design_O_8 Design_O 10
10 Eyelet attr_Design_O_9 Design_O 10
11 Folded attr_Design_O_10 Design_O 10
12 Tied attr_Design_O_11 Design_O 10
13 Drapes attr_Design_O_12 Design_O 10
14 Ribbon attr_Design_O_13 Design_O 10
15 Button attr_Design_O_14 Design_O 10
16 Crossed_over_zipper attr_Design_O_15 Design_O 10
17 Crossed_over_button attr_Design_O_16 Design_O 10
18 Single_breasted attr_Design_O_17 Design_O 10
19 Double_breasted attr_Design_O_18 Design_O 10

4
app/service/attribute/config/descriptor/outwear/length.csv Normal file
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labelName,join_attr,taskName,taskId
Short,attr_Outer_length_1,Outer_length,1
Regular,attr_Outer_length_2,Outer_length,1
Long,attr_Outer_length_3,Outer_length,1
1 labelName join_attr taskName taskId
2 Short attr_Outer_length_1 Outer_length 1
3 Regular attr_Outer_length_2 Outer_length 1
4 Long attr_Outer_length_3 Outer_length 1

3
app/service/attribute/config/descriptor/outwear/opening.csv Normal file
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@@ -0,0 +1,3 @@
labelName,join_attr,taskName,taskId
Full,attr_Opening_O_1,Opening_O,11
Half,attr_Opening_O_2,Opening_O,11
1 labelName join_attr taskName taskId
2 Full attr_Opening_O_1 Opening_O 11
3 Half attr_Opening_O_2 Opening_O 11

5
app/service/attribute/config/descriptor/outwear/opening_type.csv Normal file
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@@ -0,0 +1,5 @@
labelName,join_attr,taskName,taskId
Button,attr_OPType_O_1,OPType_O,12
Zipper,attr_OPType_O_2,OPType_O,12
Thread,attr_OPType_O_3,OPType_O,12
Hook,attr_OPType_O_4,OPType_O,12
1 labelName join_attr taskName taskId
2 Button attr_OPType_O_1 OPType_O 12
3 Zipper attr_OPType_O_2 OPType_O 12
4 Thread attr_OPType_O_3 OPType_O 12
5 Hook attr_OPType_O_4 OPType_O 12

7
app/service/attribute/config/descriptor/outwear/silhouette.csv Normal file
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@@ -0,0 +1,7 @@
labelName,join_attr,taskName,taskId
A_Line,attr_Silhouette_O_1,Silhouette_O,13
H_Shape,attr_Silhouette_O_2,Silhouette_O,13
Slim,attr_Silhouette_O_3,Silhouette_O,13
Flyman,attr_Silhouette_O_4,Silhouette_O,13
Peplum,attr_Silhouette_O_5,Silhouette_O,13
Oversize,attr_Silhouette_O_6,Silhouette_O,13
1 labelName join_attr taskName taskId
2 A_Line attr_Silhouette_O_1 Silhouette_O 13
3 H_Shape attr_Silhouette_O_2 Silhouette_O 13
4 Slim attr_Silhouette_O_3 Silhouette_O 13
5 Flyman attr_Silhouette_O_4 Silhouette_O 13
6 Peplum attr_Silhouette_O_5 Silhouette_O 13
7 Oversize attr_Silhouette_O_6 Silhouette_O 13

6
app/service/attribute/config/descriptor/outwear/sleeve_length.csv Normal file
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@@ -0,0 +1,6 @@
labelName,join_attr,taskName,taskId
Sleeveless,attr_Sleeve_length_O_1,Sleeve_length_O,3
Short,attr_Sleeve_length_O_2,Sleeve_length_O,3
Middle,attr_Sleeve_length_O_3,Sleeve_length_O,3
Seven,attr_Sleeve_length_O_4,Sleeve_length_O,3
Long,attr_Sleeve_length_O_5,Sleeve_length_O,3
1 labelName join_attr taskName taskId
2 Sleeveless attr_Sleeve_length_O_1 Sleeve_length_O 3
3 Short attr_Sleeve_length_O_2 Sleeve_length_O 3
4 Middle attr_Sleeve_length_O_3 Sleeve_length_O 3
5 Seven attr_Sleeve_length_O_4 Sleeve_length_O 3
6 Long attr_Sleeve_length_O_5 Sleeve_length_O 3

9
app/service/attribute/config/descriptor/outwear/sleeve_shape.csv Normal file
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@@ -0,0 +1,9 @@
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
1 labelName join_attr taskName taskId
2 Regular attr_Sleeve_shape_O_1 Sleeve_shape 4
3 Slim attr_Sleeve_shape_O_2 Sleeve_shape 4
4 Puff attr_Sleeve_shape_O_3 Sleeve_shape 4
5 Bell attr_Sleeve_shape_O_4 Sleeve_shape 4
6 Batwing attr_Sleeve_shape_O_5 Sleeve_shape 4
7 Shirt attr_Sleeve_shape_O_6 Sleeve_shape 4
8 Rib attr_Sleeve_shape_O_7 Sleeve_shape 4
9 Raglan attr_Sleeve_shape_O_8 Sleeve_shape 4

6
app/service/attribute/config/descriptor/outwear/sleeve_shoulder.csv Normal file
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@@ -0,0 +1,6 @@
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
1 labelName join_attr taskName taskId
2 Regular attr_Sleeve_shoulder_O_1 Sleeve_shoulder 5
3 Cold attr_Sleeve_shoulder_O_2 Sleeve_shoulder 5
4 Tucked attr_Sleeve_shoulder_O_3 Sleeve_shoulder 5
5 Balmain attr_Sleeve_shoulder_O_4 Sleeve_shoulder 5
6 Drop_Shoulder attr_Sleeve_shoulder_O_5 Sleeve_shoulder 5

18
app/service/attribute/config/descriptor/outwear/type.csv Normal file
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@@ -0,0 +1,18 @@
labelName,join_attr,taskName,taskId
Coat,attr_Outer_type_1,Outer_Type,2
Trench,attr_Outer_type_2,Outer_Type,2
Baseball_jacket,attr_Outer_type_3,Outer_Type,2
Hoodie_jacket,attr_Outer_type_4,Outer_Type,2
Active_jacket,attr_Outer_type_5,Outer_Type,2
Jacket,attr_Outer_type_6,Outer_Type,2
Blazer,attr_Outer_type_7,Outer_Type,2
Cardigan,attr_Outer_type_8,Outer_Type,2
Capes,attr_Outer_type_9,Outer_Type,2
Fleeces Jacket,attr_Outer_type_10,Outer_Type,2
Gilets/Puffer,attr_Outer_type_11,Outer_Type,2
Aviator jacket,attr_Outer_type_12,Outer_Type,2
Biker jacket,attr_Outer_type_13,Outer_Type,2
Pea coat,attr_Outer_type_14,Outer_Type,2
Shacket,attr_Outer_type_15,Outer_Type,2
Denim jacket,attr_Outer_type_16,Outer_Type,2
Raincoat,attr_Outer_type_17,Outer_Type,2
1 labelName join_attr taskName taskId
2 Coat attr_Outer_type_1 Outer_Type 2
3 Trench attr_Outer_type_2 Outer_Type 2
4 Baseball_jacket attr_Outer_type_3 Outer_Type 2
5 Hoodie_jacket attr_Outer_type_4 Outer_Type 2
6 Active_jacket attr_Outer_type_5 Outer_Type 2
7 Jacket attr_Outer_type_6 Outer_Type 2
8 Blazer attr_Outer_type_7 Outer_Type 2
9 Cardigan attr_Outer_type_8 Outer_Type 2
10 Capes attr_Outer_type_9 Outer_Type 2
11 Fleeces Jacket attr_Outer_type_10 Outer_Type 2
12 Gilets/Puffer attr_Outer_type_11 Outer_Type 2
13 Aviator jacket attr_Outer_type_12 Outer_Type 2
14 Biker jacket attr_Outer_type_13 Outer_Type 2
15 Pea coat attr_Outer_type_14 Outer_Type 2
16 Shacket attr_Outer_type_15 Outer_Type 2
17 Denim jacket attr_Outer_type_16 Outer_Type 2
18 Raincoat attr_Outer_type_17 Outer_Type 2

16
app/service/attribute/config/descriptor/top/T_print.csv Normal file
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@@ -0,0 +1,16 @@
labelName,join_attr,taskName,taskId
Abstract,attr_Print_O_1,Print_U,7
Allover,attr_Print_O_2,Print_U,7
Animal,attr_Print_O_3,Print_U,7
Camouflage,attr_Print_O_4,Print_U,7
Checks,attr_Print_O_5,Print_U,7
Color_block,attr_Print_O_6,Print_U,7
Disty print,attr_Print_O_7,Print_U,7
Dotted,attr_Print_O_8,Print_U,7
Floral,attr_Print_O_9,Print_U,7
Graphic print,attr_Print_O_10,Print_U,7
Logo and slogan,attr_Print_O_11,Print_U,7
Patchwork,attr_Print_O_12,Print_U,7
Plain,attr_Print_O_13,Print_U,7
Plain_dnim,attr_Print_O_14,Print_U,7
Stripe,attr_Print_O_15,Print_U,7
1 labelName join_attr taskName taskId
2 Abstract attr_Print_O_1 Print_U 7
3 Allover attr_Print_O_2 Print_U 7
4 Animal attr_Print_O_3 Print_U 7
5 Camouflage attr_Print_O_4 Print_U 7
6 Checks attr_Print_O_5 Print_U 7
7 Color_block attr_Print_O_6 Print_U 7
8 Disty print attr_Print_O_7 Print_U 7
9 Dotted attr_Print_O_8 Print_U 7
10 Floral attr_Print_O_9 Print_U 7
11 Graphic print attr_Print_O_10 Print_U 7
12 Logo and slogan attr_Print_O_11 Print_U 7
13 Patchwork attr_Print_O_12 Print_U 7
14 Plain attr_Print_O_13 Print_U 7
15 Plain_dnim attr_Print_O_14 Print_U 7
16 Stripe attr_Print_O_15 Print_U 7

4
app/service/attribute/config/descriptor/top/T_softness.csv Normal file
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@@ -0,0 +1,4 @@
labelName,join_attr,taskName,taskId
T_softness_Soft,attr_Softness_U_1,Softness_U,9
T_softness_Medium,attr_Softness_U_2,Softness_U,9
T_softness_Hard,attr_Softness_U_3,Softness_U,9
1 labelName join_attr taskName taskId
2 T_softness_Soft attr_Softness_U_1 Softness_U 9
3 T_softness_Medium attr_Softness_U_2 Softness_U 9
4 T_softness_Hard attr_Softness_U_3 Softness_U 9

11
app/service/attribute/config/descriptor/top/collar.csv Normal file
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@@ -0,0 +1,11 @@
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
1 labelName join_attr taskName taskId
2 Peterpan attr_Collar_1 Collar 7
3 Shirt attr_Collar_2 Collar 7
4 Rib attr_Collar_3 Collar 7
5 Turtle attr_Collar_4 Collar 7
6 Lapel attr_Collar_5 Collar 7
7 Hoodie attr_Collar_6 Collar 7
8 Mandarin attr_Collar_7 Collar 7
9 Tie attr_Collar_8 Collar 7
10 Ruffle attr_Collar_9 Collar 7
11 Cowl attr_Collar_10 Collar 7

15
app/service/attribute/config/descriptor/top/design.csv Normal file
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@@ -0,0 +1,15 @@
labelName,join_attr,taskName,taskId
Asymmetrical,attr_Design_U_1,Design_U,10
Tiered,attr_Design_U_2,Design_U,10
Tassel,attr_Design_U_3,Design_U,10
Ruffle,attr_Design_U_4,Design_U,10
Pleated,attr_Design_U_5,Design_U,10
Wrap,attr_Design_U_6,Design_U,10
Ripped,attr_Design_U_7,Design_U,10
Cut_out,attr_Design_U_8,Design_U,10
Eyelet,attr_Design_U_9,Design_U,10
Folded,attr_Design_U_10,Design_U,10
Tied,attr_Design_U_11,Design_U,10
Drapes,attr_Design_U_12,Design_U,10
Ribbon,attr_Design_U_13,Design_U,10
Button,attr_Design_U_14,Design_U,10
1 labelName join_attr taskName taskId
2 Asymmetrical attr_Design_U_1 Design_U 10
3 Tiered attr_Design_U_2 Design_U 10
4 Tassel attr_Design_U_3 Design_U 10
5 Ruffle attr_Design_U_4 Design_U 10
6 Pleated attr_Design_U_5 Design_U 10
7 Wrap attr_Design_U_6 Design_U 10
8 Ripped attr_Design_U_7 Design_U 10
9 Cut_out attr_Design_U_8 Design_U 10
10 Eyelet attr_Design_U_9 Design_U 10
11 Folded attr_Design_U_10 Design_U 10
12 Tied attr_Design_U_11 Design_U 10
13 Drapes attr_Design_U_12 Design_U 10
14 Ribbon attr_Design_U_13 Design_U 10
15 Button attr_Design_U_14 Design_U 10

4
app/service/attribute/config/descriptor/top/length.csv Normal file
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@@ -0,0 +1,4 @@
labelName,join_attr,taskName,taskId
Short,attr_Top_length_1,Top_length,1
Regular,attr_Top_length_2,Top_length,1
Long,attr_Top_length_3,Top_length,1
1 labelName join_attr taskName taskId
2 Short attr_Top_length_1 Top_length 1
3 Regular attr_Top_length_2 Top_length 1
4 Long attr_Top_length_3 Top_length 1

7
app/service/attribute/config/descriptor/top/neckline.csv Normal file
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@@ -0,0 +1,7 @@
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
1 labelName join_attr taskName taskId
2 Round attr_Neckline_1 Neckline 6
3 V attr_Neckline_2 Neckline 6
4 Square attr_Neckline_3 Neckline 6
5 One_shoulder attr_Neckline_4 Neckline 6
6 Off_shoulder attr_Neckline_5 Neckline 6
7 Strapless attr_Neckline_6 Neckline 6

5
app/service/attribute/config/descriptor/top/opening_type.csv Normal file
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@@ -0,0 +1,5 @@
labelName,join_attr,taskName,taskId
Button,attr_OPType_U_1,OPType_U,11
Zipper,attr_OPType_U_2,OPType_U,11
Thread,attr_OPType_U_3,OPType_U,11
Hook,attr_OPType_U_4,OPType_U,11
1 labelName join_attr taskName taskId
2 Button attr_OPType_U_1 OPType_U 11
3 Zipper attr_OPType_U_2 OPType_U 11
4 Thread attr_OPType_U_3 OPType_U 11
5 Hook attr_OPType_U_4 OPType_U 11

7
app/service/attribute/config/descriptor/top/silhouette.csv Normal file
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@@ -0,0 +1,7 @@
labelName,join_attr,taskName,taskId
T_silhouette_A_Line,attr_Silhouette_U_1,Silhouette_U,12
T_silhouette_H_Shape,attr_Silhouette_U_2,Silhouette_U,12
T_silhouette_Slim,attr_Silhouette_U_3,Silhouette_U,12
T_silhouette_Flyman,attr_Silhouette_U_4,Silhouette_U,12
T_silhouette_Peplum,attr_Silhouette_U_5,Silhouette_U,12
T_silhouette_Oversize,attr_Silhouette_U_6,Silhouette_U,12
1 labelName join_attr taskName taskId
2 T_silhouette_A_Line attr_Silhouette_U_1 Silhouette_U 12
3 T_silhouette_H_Shape attr_Silhouette_U_2 Silhouette_U 12
4 T_silhouette_Slim attr_Silhouette_U_3 Silhouette_U 12
5 T_silhouette_Flyman attr_Silhouette_U_4 Silhouette_U 12
6 T_silhouette_Peplum attr_Silhouette_U_5 Silhouette_U 12
7 T_silhouette_Oversize attr_Silhouette_U_6 Silhouette_U 12

6
app/service/attribute/config/descriptor/top/sleeve_length.csv Normal file
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@@ -0,0 +1,6 @@
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
1 labelName join_attr taskName taskId
2 Sleeveless attr_Sleeve_length_1 Sleeve_length 3
3 Short attr_Sleeve_length_2 Sleeve_length 3
4 Middle attr_Sleeve_length_3 Sleeve_length 3
5 Seven attr_Sleeve_length_4 Sleeve_length 3
6 Long attr_Sleeve_length_5 Sleeve_length 3

9
app/service/attribute/config/descriptor/top/sleeve_shape.csv Normal file
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@@ -0,0 +1,9 @@
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
1 labelName join_attr taskName taskId
2 Regular attr_Sleeve_shape_1 Sleeve_shape 4
3 Slim attr_Sleeve_shape_2 Sleeve_shape 4
4 Puff attr_Sleeve_shape_3 Sleeve_shape 4
5 Bell attr_Sleeve_shape_4 Sleeve_shape 4
6 Batwing attr_Sleeve_shape_5 Sleeve_shape 4
7 Shirt attr_Sleeve_shape_6 Sleeve_shape 4
8 Rib attr_Sleeve_shape_7 Sleeve_shape 4
9 Raglan attr_Sleeve_shape_8 Sleeve_shape 4

5
app/service/attribute/config/descriptor/top/sleeve_shoulder.csv Normal file
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@@ -0,0 +1,5 @@
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
1 labelName join_attr taskName taskId
2 Regular attr_Sleeve_shoulder_1 Sleeve_shoulder 5
3 Cold attr_Sleeve_shoulder_2 Sleeve_shoulder 5
4 Tucked attr_Sleeve_shoulder_3 Sleeve_shoulder 5
5 Balmain attr_Sleeve_shoulder_4 Sleeve_shoulder 5

15
app/service/attribute/config/descriptor/top/type.csv Normal file
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@@ -0,0 +1,15 @@
labelName,join_attr,taskName,taskId
Bandeau,attr_toptype_1,Top_Type,2
Blouse,attr_toptype_2,Top_Type,2
Bodysuit,attr_toptype_3,Top_Type,2
Bralets,attr_toptype_4,Top_Type,2
Camisole,attr_toptype_5,Top_Type,2
Crop_Top,attr_toptype_6,Top_Type,2
Hoodie,attr_toptype_7,Top_Type,2
Pullover,attr_toptype_8,Top_Type,2
Polo_shirt,attr_toptype_9,Top_Type,2
Shirt,attr_toptype_10,Top_Type,2
Strapeless,attr_toptype_11,Top_Type,2
Sweater,attr_toptype_12,Top_Type,2
Tank_Top,attr_toptype_13,Top_Type,2
T_shirt,attr_toptype_14,Top_Type,2
1 labelName join_attr taskName taskId
2 Bandeau attr_toptype_1 Top_Type 2
3 Blouse attr_toptype_2 Top_Type 2
4 Bodysuit attr_toptype_3 Top_Type 2
5 Bralets attr_toptype_4 Top_Type 2
6 Camisole attr_toptype_5 Top_Type 2
7 Crop_Top attr_toptype_6 Top_Type 2
8 Hoodie attr_toptype_7 Top_Type 2
9 Pullover attr_toptype_8 Top_Type 2
10 Polo_shirt attr_toptype_9 Top_Type 2
11 Shirt attr_toptype_10 Top_Type 2
12 Strapeless attr_toptype_11 Top_Type 2
13 Sweater attr_toptype_12 Top_Type 2
14 Tank_Top attr_toptype_13 Top_Type 2
15 T_shirt attr_toptype_14 Top_Type 2

78
app/service/attribute/config/local_debug_const.py Normal file
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@@ -0,0 +1,78 @@
top_description_list = [r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/length.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/type.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/sleeve_length.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/sleeve_shape.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/sleeve_shoulder.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/neckline.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/design.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/opening_type.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/silhouette.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\top/collar.csv']
top_model_list = ['attr_retrieve_T_length',
'attr_retrieve_T_type',
'attr_retrieve_T_sleeve_length',
'attr_retrieve_T_sleeve_shape',
'attr_retrieve_T_sleeve_shoulder',
'attr_retrieve_T_neckline',
'attr_retrieve_T_design',
'attr_retrieve_T_optype',
'attr_retrieve_T_silhouette',
'attr_retrieve_T_collar'
]
bottom_description_list = [
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\bottom/subtype.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\bottom/length.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\bottom/silhouette.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\bottom/opening_type.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\bottom/design.csv']
bottom_model_list = [
'attr_retrieve_B_subtype',
'attr_retrieve_B_length',
'attr_retrieve_B_silhouette',
'attr_recong_B_optype',
'attr_retrieve_B_design']
outwear_description_list = [r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/length.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/sleeve_length.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/sleeve_shape.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/sleeve_shoulder.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/collar.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/design.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/opening_type.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\outwear/silhouette.csv', ]
outwear_model_list = ['attr_recong_O_length',
'attr_retrieve_O_sleeve_length',
'attr_retrieve_O_sleeve_shape',
'attr_retrieve_O_sleeve_shoulder',
'attr_retrieve_O_collar',
'attr_retrieve_O_design',
'attr_recong_O_optype',
'attr_retrieve_O_silhouette']
dress_description_list = [ # r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/D_length.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/sleeve_length.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/sleeve_shape.csv',
# r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/D_sleeve_shoulder.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/neckline.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/collar.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/design.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/silhouette.csv',
r'E:\workspace\trinity_client_aida\app\service\attribute\config\descriptor\dress/type.csv']
dress_model_list = [ # 'attr_recong_D_length',
'attr_retrieve_D_sleeve_length',
'attr_retrieve_D_sleeve_shape',
# 'attr_retrieve_D_sleeve_shoulder',
'attr_retrieve_D_neckline',
'attr_retrieve_D_collar',
'attr_retrieve_D_design',
'attr_retrieve_D_silohouette',
'attr_retrieve_D_type'
]
category_description = './description/category/category_dis.csv'
category_model = 'attr_retrieve_category'

170
app/service/attribute/service_att_recognition.py Normal file
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@@ -0,0 +1,170 @@
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import logging
from pprint import pprint
import torch
import cv2
import mmcv
import numpy as np
import pandas as pd
from minio import Minio
import tritonclient.http as httpclient
from app.core.config import *
from app.schemas.attribute_retrieve import AttributeRecognitionModel
class AttributeRecognition:
def __init__(self, const, request_data):
self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
logging.info("实例化完成")
self.request_data = []
for i, sketch in enumerate(request_data):
self.request_data.append(
{
'obj': self.preprocess(self.get_image(sketch.sketch_img_url)),
'category': sketch.category,
'colony': sketch.colony,
'sketch_img_url': sketch.sketch_img_url,
}
)
self.const = const
self.triton_client = httpclient.InferenceServerClient(url=f"{ATT_TRITON_URL}")
def __del__(self):
self.triton_client.close()
def get_result(self):
for sketch in self.request_data:
if sketch['category'] == "Tops" or sketch['category'] == "Blouse":
attr_dict = {}
for i in range(len(self.const.top_description_list)):
attr_description = self.const.top_description_list[i]
attr_model_path = self.const.top_model_list[i]
present_dict = self.get_attribute(attr_model_path, attr_description, sketch['obj'])
attr_dict = self.merge(attr_dict, present_dict)
elif sketch['category'] == 'Trousers' or sketch['category'] == "Skirt" or sketch['category'] == "Bottoms":
attr_dict = {}
for i in range(len(self.const.bottom_description_list)):
attr_description = self.const.bottom_description_list[i]
attr_model_path = self.const.bottom_model_list[i]
present_dict = self.get_attribute(attr_model_path, attr_description, sketch['obj'])
attr_dict = self.merge(attr_dict, present_dict)
elif sketch['category'] == 'Dress':
attr_dict = {}
for i in range(len(self.const.dress_description_list)):
attr_description = self.const.dress_description_list[i]
attr_model_path = self.const.dress_model_list[i]
present_dict = self.get_attribute(attr_model_path, attr_description, sketch['obj'])
attr_dict = self.merge(attr_dict, present_dict)
elif sketch['category'] == 'Outwear':
attr_dict = {}
for i in range(len(self.const.outwear_description_list)):
attr_description = self.const.outwear_description_list[i]
attr_model_path = self.const.outwear_model_list[i]
present_dict = self.get_attribute(attr_model_path, attr_description, sketch['obj'])
attr_dict = self.merge(attr_dict, present_dict)
else:
attr_dict = {}
sketch['attr_dict'] = attr_dict
del sketch['obj']
return self.request_data
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.triton_client.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 = description.split('/')[-1][:-4]
maxsc = np.max(scores[0][:5])
indexs = np.argwhere(scores == maxsc)[:, 1]
attr = {
task: []
}
for i in range(len(indexs)):
atr = colattr[indexs[i]]
attr[task].append(atr)
return attr
@staticmethod
def merge(dict1, dict2):
res = {**dict1, **dict2}
return res
def get_image(self, url):
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
@staticmethod
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
if __name__ == '__main__':
data = [
{
"category": "Dress",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/ae976103-d7ec-4eed-b5d1-3e5f04d8be26.jpg"
},
{
"category": "Dress",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/6d7d97a7-5a7d-48bd-9e14-b51119b48620.jpg"
},
{
"category": "Dress",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/f2437141-1104-40a5-bcb9-f436088698bb.jpg"
},
{
"category": "Dress",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/07af8613-eb2e-44fd-97cb-a97249a5754c.jpg"
},
{
"category": "Blouse",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/bac9fb15-6860-4112-ac97-f0dea079da75.jpg"
},
{
"category": "Dress",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/11d59844-effa-4590-82f9-9ea382c76126.jpg"
},
{
"category": "Dress",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/849bf94c-66b8-42f5-8c2e-c1c1f4c8d0e0.jpg"
},
{
"category": "Dress",
"colony": "Female",
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/e6724ab7-8d3f-4677-abe0-c3e42ab7af85.jpeg"
}
]
from app.service.attribute.config import local_debug_const
rq_data = [AttributeRecognitionModel(category=d['category'], colony=d['colony'], sketch_img_url=d['sketch_img_url']) for d in data]
server = AttributeRecognition(local_debug_const, rq_data)
pprint(server.get_result())

171
app/service/attribute/service_category_recognition.py Normal file
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@@ -0,0 +1,171 @@
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project ：trinity_client
@File ：server.py
@Author ：周成融
@Date ：2023/9/16 18:31:08
@detail ：
"""
from skimage import transform
import cv2
import mmcv
import numpy as np
import pandas as pd
from minio import Minio
import tritonclient.http as httpclient
import torch
from app.core.config import *
from app.schemas.attribute_retrieve import CategoryRecognitionModel
class CategoryRecognition:
def __init__(self, request_data):
self.attr_type = pd.read_csv(CATEGORY_PATH)
self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
self.request_data = []
self.triton_client = httpclient.InferenceServerClient(url=ATT_TRITON_URL)
for sketch in request_data:
self.request_data.append(
{
'obj': self.preprocess(self.get_image(sketch.sketch_img_url)),
'colony': sketch.colony,
'sketch_img_url': sketch.sketch_img_url,
}
)
@staticmethod
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
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 get_category(self, image):
inputs = [
httpclient.InferInput("input__0", image.shape, datatype="FP32")
]
inputs[0].set_data_from_numpy(image, binary_data=True)
results = self.triton_client.infer(model_name="attr_retrieve_category", inputs=inputs)
inference_output = torch.from_numpy(results.as_numpy(f'output__0'))
scores = inference_output.detach().numpy()
colattr = list(self.attr_type['labelName'])
task = self.attr_type['taskName'][0]
maxsc = np.max(scores[0][:5])
indexs = np.argwhere(scores == maxsc)[:, 1]
# attr = {}
# attr[task] = []
# for i in range(len(indexs)):
# atr = colattr[indexs[i]]
# attr[task].append(atr)
return colattr[indexs[0]]
def get_result(self):
for sketch in self.request_data:
if sketch['colony'] == "Female":
sketch['category'] = self.get_category(sketch["obj"])
elif sketch['colony'] == "Male":
category = self.get_category(sketch["obj"])
if category == 'Trousers' or category == 'Skirt':
sketch['category'] = 'Bottoms'
elif category == 'Blouse' or category == 'Dress':
sketch['category'] = 'Tops'
else:
sketch['category'] = 'Outwear'
# 删除图片对象
del sketch["obj"]
return self.request_data
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
if __name__ == '__main__':
data = [
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/ae976103-d7ec-4eed-b5d1-3e5f04d8be26.jpg",
"colony": "Female"
},
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/6d7d97a7-5a7d-48bd-9e14-b51119b48620.jpg",
"colony": "Female"
},
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/f2437141-1104-40a5-bcb9-f436088698bb.jpg",
"colony": "Female"
},
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/07af8613-eb2e-44fd-97cb-a97249a5754c.jpg",
"colony": "Female"
},
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/bac9fb15-6860-4112-ac97-f0dea079da75.jpg",
"colony": "Female"
},
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/11d59844-effa-4590-82f9-9ea382c76126.jpg",
"colony": "Female"
},
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/849bf94c-66b8-42f5-8c2e-c1c1f4c8d0e0.jpg",
"colony": "Female"
},
{
"sketch_img_url": "aida-users/89/sketchboard/female/Dress/e6724ab7-8d3f-4677-abe0-c3e42ab7af85.jpeg",
"colony": "Female"
}
]
rq_data = [CategoryRecognitionModel(sketch_img_url=d['sketch_img_url'], colony=d['colony']) for d in data]
server = CategoryRecognition(rq_data)
print(server.get_result())

217
app/service/generate_image/service.py
View File

@@ -2,29 +2,24 @@
# -*- coding: UTF-8 -*- # -*- coding: UTF-8 -*-
""" """
@Project ：trinity_client @Project ：trinity_client
@File ：service.py @File ：service_att_recognition.py
@Author ：周成融 @Author ：周成融
@Date ：2023/7/26 12:01:05 @Date ：2023/7/26 12:01:05
@detail ： @detail ：
""" """
import json import json
import logging import logging
import minio
import numpy as np
import random
import redis
import tritonclient
import tritonclient.grpc as grpc_client
from minio import Minio
import cv2
from PIL import Image
import time import time
import redis
import tritonclient.grpc as grpcclient
import numpy as np
from minio import Minio
from tritonclient.utils import np_to_triton_dtype
from app.core.config import * from app.core.config import *
from app.schemas.generate_image import GenerateImageModel from app.schemas.generate_image import GenerateImageModel
from app.service.generate_image.utils.remove_background import remove_background
from app.service.generate_image.utils.upload_sd_image import upload_png_sd from app.service.generate_image.utils.upload_sd_image import upload_png_sd
from app.service.utils.decorator import RunTime
from app.service.utils.generate_uuid import generate_uuid from app.service.utils.generate_uuid import generate_uuid
logger = logging.getLogger() logger = logging.getLogger()
@@ -32,170 +27,86 @@ logger = logging.getLogger()
class GenerateImage: class GenerateImage:
def __init__(self, request_data): def __init__(self, request_data):
self.tasks_id = request_data.tasks_id self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
self.image_url = request_data.image_url self.grpc_client = grpcclient.InferenceServerClient(url=GI_MODEL_URL)
self.user_id = request_data.user_id
self.content = request_data.content
self.category = request_data.category
self.model_name = f"{self.category}{GI_MODEL_NAME}"
self.mode = request_data.mode
self.version = request_data.version
self.triton_client = grpc_client.InferenceServerClient(url=f"{GI_MODEL_URL}")
self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True) self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS)) self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
self.channel = self.connection.channel() self.channel = self.connection.channel()
self.minio_client = Minio( if request_data.mode == "txt2img":
f"{MINIO_IP}:{MINIO_PORT}", self.image = np.random.randint(0, 256, (1024, 1024, 3), dtype=np.uint8)
access_key=MINIO_ACCESS, else:
secret_key=MINIO_SECRET, self.image = request_data.image
secure=MINIO_SECURE) self.tasks_id = request_data.tasks_id
self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
self.samples = 4 # no.of images to generate self.prompt = request_data.prompt
self.steps = 24 self.mode = request_data.mode
self.guidance_scale = 7
self.seed = random.randint(0, 2000000000)
self.batch_size = 1 self.batch_size = 1
self.generate_data = json.dumps({'status': 'PENDING', 'message': "pending", 'data': ''}) self.category = request_data.category
self.redis_client.set(self.tasks_id, self.generate_data) self.index = 0
def __del__(self): def __del__(self):
self.redis_client.close() self.redis_client.close()
self.triton_client.close() self.grpc_client.close()
self.connection.close() self.connection.close()
@staticmethod def __call__(self, *args, **kwargs):
def image_grid(imgs, rows, cols): self.generate_data = json.dumps({'status': 'PENDING', 'message': "pending", 'data': ''})
assert len(imgs) == rows * cols self.redis_client.set(self.tasks_id, self.generate_data)
w, h = imgs[0].size
grid = Image.new('RGB', size=(cols * w, rows * h))
for i, img in enumerate(imgs):
grid.paste(img, box=(i % cols * w, i // cols * h))
return grid
@staticmethod
def preprocess_image(image, category):
height, width, _ = image.shape
if category == "print" or category == "moodboard":
square_size = min(height, width)
start_x = (width - square_size) // 2
start_y = (height - square_size) // 2
cropped = image[start_y: start_y + square_size, start_x: start_x + square_size]
resized_image = cv2.resize(cropped, (512, 512))
elif category == "sketch":
# below is the way that get "bigger" square image.
max_dimension = max(height, width)
square_image = np.ones((max_dimension, max_dimension, 3), dtype=np.uint8) * 255
start_h = (max_dimension - height) // 2
start_w = (max_dimension - width) // 2
square_image[start_h:start_h + height, start_w:start_w + width] = image
resized_image = cv2.resize(square_image, (512, 512))
else:
raise ValueError(f"wrong category {category}, only in moodboard, print and sketch!")
return resized_image
def get_image(self):
# Get data of an object.
# Read data from response.
try:
response = self.minio_client.get_object(self.image_url.split('/')[0], self.image_url[self.image_url.find('/') + 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 = self.preprocess_image(img, self.category)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
except minio.error.S3Error:
img = np.random.randn(512, 512, 3)
return img
def callback(self, result, error): def callback(self, result, error):
if error: if error:
generate_data = json.dumps({'status': 'FAILURE', 'message': f"{error}", 'data': f"{error}"}) generate_data = json.dumps({'status': 'FAILURE', 'message': f"{error}", 'data': f"{error}"})
self.redis_client.set(self.tasks_id, generate_data) self.redis_client.set(self.tasks_id, generate_data)
else: else:
images = result.as_numpy("IMAGES") image_result = result.as_numpy("generated_image")[0]
if images.ndim == 3: image_url = upload_png_sd(image_result, user_id=self.user_id, category=f"{self.category}", object_name=f"{self.tasks_id}.png")
images = images[None, ...] generate_data = json.dumps({'status': 'SUCCESS', 'message': 'success', 'data': f'{image_url}'})
images = (images * 255).round().astype("uint8")
pil_images = [Image.fromarray(image) for image in images]
# for i in range(len(pil_images)):
# pil = pil_images[i]
# pil.save(f'./temp_i2_{i}.png')
# self.image_grid(pil_images, rows, cols)
url_list = []
for i, image in enumerate(pil_images):
if self.category == "sketch":
image = remove_background(np.asarray(image))
image_url = upload_png_sd(image, user_id=self.user_id, category=f"{self.category}", object_name=f"{generate_uuid()}_{i}.png", )
url_list.append(image_url)
generate_data = json.dumps({'status': 'SUCCESS', 'message': 'success', 'data': f'{url_list}'})
self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=generate_data)
logger.info(f" [x] Sent {generate_data}")
self.redis_client.set(self.tasks_id, generate_data) self.redis_client.set(self.tasks_id, generate_data)
def read_tasks_status(self): def read_tasks_status(self):
status_data = json.loads(self.redis_client.get(self.tasks_id)) status_data = json.loads(self.redis_client.get(self.tasks_id))
logging.info(f"{self.tasks_id} ===> {status_data}")
return status_data return status_data
@RunTime def infer(self, inputs):
return self.grpc_client.async_infer(
model_name=GI_MODEL_NAME,
inputs=inputs,
callback=self.callback
)
def get_result(self): def get_result(self):
self.triton_client.get_model_metadata(model_name=self.model_name, model_version=self.version) prompts = [self.prompt] * self.batch_size
self.triton_client.get_model_config(model_name=self.model_name, model_version=self.version) modes = [self.mode] * self.batch_size
images = [self.image.astype(np.float16)] * self.batch_size
image = self.get_image() text_obj = np.array(prompts, dtype="object").reshape((-1, 1))
mode_obj = np.array(modes, dtype="object").reshape((-1, 1))
image_obj = np.array(images, dtype=np.float16).reshape((-1, 1024, 1024, 3))
# Input placeholder input_text = grpcclient.InferInput("prompt", text_obj.shape, np_to_triton_dtype(text_obj.dtype))
prompt_in = tritonclient.grpc.InferInput(name="PROMPT", shape=(self.batch_size,), datatype="BYTES") input_image = grpcclient.InferInput("input_image", image_obj.shape, "FP16")
samples_in = tritonclient.grpc.InferInput("SAMPLES", (self.batch_size,), "INT32") input_mode = grpcclient.InferInput("mode", mode_obj.shape, np_to_triton_dtype(text_obj.dtype))
steps_in = tritonclient.grpc.InferInput("STEPS", (self.batch_size,), "INT32")
guidance_scale_in = tritonclient.grpc.InferInput("GUIDANCE_SCALE", (self.batch_size,), "FP32")
seed_in = tritonclient.grpc.InferInput("SEED", (self.batch_size,), "INT64")
input_images_in = tritonclient.grpc.InferInput("INPUT_IMAGES", image.shape, "FP16")
images = tritonclient.grpc.InferRequestedOutput(name="IMAGES",
# binary_data=False
)
mode_in = tritonclient.grpc.InferInput("MODE", (self.batch_size,), "INT32")
# Setting inputs input_text.set_data_from_numpy(text_obj)
prompt_in.set_data_from_numpy(np.asarray([self.content] * self.batch_size, dtype=object)) input_image.set_data_from_numpy(image_obj)
samples_in.set_data_from_numpy(np.asarray([self.samples], dtype=np.int32)) input_mode.set_data_from_numpy(mode_obj)
steps_in.set_data_from_numpy(np.asarray([self.steps], dtype=np.int32))
guidance_scale_in.set_data_from_numpy(np.asarray([self.guidance_scale], dtype=np.float32))
seed_in.set_data_from_numpy(np.asarray([self.seed], dtype=np.int64))
input_images_in.set_data_from_numpy(image.astype(np.float16))
mode_in.set_data_from_numpy(np.asarray([self.mode], dtype=np.int32))
# inference inputs = [input_text, input_image, input_mode]
@RunTime ctx = self.infer(inputs)
def infer():
return self.triton_client.async_infer(
model_name=self.model_name,
model_version=self.version,
inputs=[prompt_in, samples_in, steps_in, guidance_scale_in, seed_in, input_images_in, mode_in],
outputs=[images],
callback=self.callback
)
ctx = infer()
time_out = 60 time_out = 60
while time_out > 0: while time_out > 0:
generate_data = self.read_tasks_status() generate_data = self.read_tasks_status()
if generate_data['status'] in ["REVOKED", "FAILURE"]: if generate_data['status'] in ["REVOKED", "FAILURE"]:
ctx.cancel() ctx.cancel()
self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=json.dumps(generate_data)) self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=json.dumps(generate_data))
logger.info(f" [x] Sent {generate_data}") logger.info(f" [x] Sent {json.dumps(generate_data, indent=4)}")
break break
elif generate_data['status'] == "SUCCESS": elif generate_data['status'] == "SUCCESS":
self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=json.dumps(generate_data))
logger.info(f" [x] Sent {json.dumps(generate_data, indent=4)}")
break break
time_out -= 1 time_out -= 1
time.sleep(1) time.sleep(0.1)
return self.read_tasks_status() return self.read_tasks_status()
@@ -208,24 +119,12 @@ def infer_cancel(tasks_id):
if __name__ == '__main__': if __name__ == '__main__':
# request_data = {
# "user_id": 78,
# "image_url": "123_123.png",
# "category": "print",
# "mode": 1,
# "str": "a simple print",
# "version": "1"
# }
rd = GenerateImageModel( rd = GenerateImageModel(
mode=1, tasks_id="123-89",
content='a blouse', prompt='skeleton sitting by the side of a river looking soulful, concert poster, 4k, artistic',
gender='', image_url="",
user_id=89, mode='txt2img',
image_url='test/微信图片_20231206133428.jpg', category="test"
category='sketch',
version='1',
tasks_id='123456'
) )
server = GenerateImage(rd) server = GenerateImage(rd)
server.get_result() print(server.get_result())
# print(infer_cancel(123456))

237
app/service/generate_image/test.py Normal file
View File

@@ -0,0 +1,237 @@
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project ：trinity_client
@File ：service_att_recognition.py
@Author ：周成融
@Date ：2023/7/26 12:01:05
@detail ：
"""
import json
import logging
import minio
import numpy as np
import random
import redis
import tritonclient
import tritonclient.grpc as grpc_client
from minio import Minio
import cv2
from PIL import Image
import time
from app.core.config import *
from app.schemas.generate_image import GenerateImageModel
from app.service.generate_image.utils.remove_background import remove_background
from app.service.generate_image.utils.upload_sd_image import upload_png_sd
from app.service.utils.decorator import RunTime
from app.service.utils.generate_uuid import generate_uuid
logger = logging.getLogger()
class GenerateImage:
def __init__(self, request_data):
self.tasks_id = request_data.tasks_id
self.model = request_data.model
self.request_count = request_data.request_count
self.prompt = request_data.prompt
self.image = request_data.image
self.mode = request_data.mode
self.batch_size = request_data.batch_size
self.image_url = request_data.image_url
self.user_id = request_data.user_id
self.content = request_data.content
self.category = request_data.category
self.model_name = f"{self.category}{GI_MODEL_NAME}"
self.mode = request_data.mode
self.version = request_data.version
self.triton_client = grpc_client.InferenceServerClient(url="1")
self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
self.channel = self.connection.channel()
self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
self.samples = 4 # no.of images to generate
self.steps = 24
self.guidance_scale = 7
self.seed = random.randint(0, 2000000000)
self.batch_size = 1
self.generate_data = json.dumps({'status': 'PENDING', 'message': "pending", 'data': ''})
self.redis_client.set(self.tasks_id, self.generate_data)
def get_result(self):
pass
def __del__(self):
self.redis_client.close()
self.triton_client.close()
self.connection.close()
@staticmethod
def image_grid(imgs, rows, cols):
assert len(imgs) == rows * cols
w, h = imgs[0].size
grid = Image.new('RGB', size=(cols * w, rows * h))
for i, img in enumerate(imgs):
grid.paste(img, box=(i % cols * w, i // cols * h))
return grid
@staticmethod
def preprocess_image(image, category):
height, width, _ = image.shape
if category == "print" or category == "moodboard":
square_size = min(height, width)
start_x = (width - square_size) // 2
start_y = (height - square_size) // 2
cropped = image[start_y: start_y + square_size, start_x: start_x + square_size]
resized_image = cv2.resize(cropped, (512, 512))
elif category == "sketch":
# below is the way that get "bigger" square image.
max_dimension = max(height, width)
square_image = np.ones((max_dimension, max_dimension, 3), dtype=np.uint8) * 255
start_h = (max_dimension - height) // 2
start_w = (max_dimension - width) // 2
square_image[start_h:start_h + height, start_w:start_w + width] = image
resized_image = cv2.resize(square_image, (512, 512))
else:
raise ValueError(f"wrong category {category}, only in moodboard, print and sketch!")
return resized_image
def get_image(self):
# Get data of an object.
# Read data from response.
try:
response = self.minio_client.get_object(self.image_url.split('/')[0], self.image_url[self.image_url.find('/') + 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 = self.preprocess_image(img, self.category)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
except minio.error.S3Error:
img = np.random.randn(512, 512, 3)
return img
def callback(self, result, error):
if error:
generate_data = json.dumps({'status': 'FAILURE', 'message': f"{error}", 'data': f"{error}"})
self.redis_client.set(self.tasks_id, generate_data)
else:
images = result.as_numpy("IMAGES")
if images.ndim == 3:
images = images[None, ...]
images = (images * 255).round().astype("uint8")
pil_images = [Image.fromarray(image) for image in images]
# for i in range(len(pil_images)):
# pil = pil_images[i]
# pil.save(f'./temp_i2_{i}.png')
# self.image_grid(pil_images, rows, cols)
url_list = []
for i, image in enumerate(pil_images):
if self.category == "sketch":
image = remove_background(np.asarray(image))
image_url = upload_png_sd(image, user_id=self.user_id, category=f"{self.category}", object_name=f"{generate_uuid()}_{i}.png", )
url_list.append(image_url)
generate_data = json.dumps({'status': 'SUCCESS', 'message': 'success', 'data': f'{url_list}'})
self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=generate_data)
logger.info(f" [x] Sent {generate_data}")
self.redis_client.set(self.tasks_id, generate_data)
def read_tasks_status(self):
status_data = json.loads(self.redis_client.get(self.tasks_id))
logging.info(f"{self.tasks_id} ===> {status_data}")
return status_data
# @RunTime
def get_result(self):
self.triton_client.get_model_metadata(model_name=self.model_name, model_version=self.version)
self.triton_client.get_model_config(model_name=self.model_name, model_version=self.version)
image = self.get_image()
# Input placeholder
prompt_in = tritonclient.grpc.InferInput(name="PROMPT", shape=(self.batch_size,), datatype="BYTES")
samples_in = tritonclient.grpc.InferInput("SAMPLES", (self.batch_size,), "INT32")
steps_in = tritonclient.grpc.InferInput("STEPS", (self.batch_size,), "INT32")
guidance_scale_in = tritonclient.grpc.InferInput("GUIDANCE_SCALE", (self.batch_size,), "FP32")
seed_in = tritonclient.grpc.InferInput("SEED", (self.batch_size,), "INT64")
input_images_in = tritonclient.grpc.InferInput("INPUT_IMAGES", image.shape, "FP16")
images = tritonclient.grpc.InferRequestedOutput(name="IMAGES",
# binary_data=False
)
mode_in = tritonclient.grpc.InferInput("MODE", (self.batch_size,), "INT32")
# Setting inputs
prompt_in.set_data_from_numpy(np.asarray([self.content] * self.batch_size, dtype=object))
samples_in.set_data_from_numpy(np.asarray([self.samples], dtype=np.int32))
steps_in.set_data_from_numpy(np.asarray([self.steps], dtype=np.int32))
guidance_scale_in.set_data_from_numpy(np.asarray([self.guidance_scale], dtype=np.float32))
seed_in.set_data_from_numpy(np.asarray([self.seed], dtype=np.int64))
input_images_in.set_data_from_numpy(image.astype(np.float16))
mode_in.set_data_from_numpy(np.asarray([self.mode], dtype=np.int32))
# inference
# @RunTime
def infer():
return self.triton_client.async_infer(
model_name=self.model_name,
model_version=self.version,
inputs=[prompt_in, samples_in, steps_in, guidance_scale_in, seed_in, input_images_in, mode_in],
outputs=[images],
callback=self.callback
)
ctx = infer()
time_out = 60
while time_out > 0:
generate_data = self.read_tasks_status()
if generate_data['status'] in ["REVOKED", "FAILURE"]:
ctx.cancel()
self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=json.dumps(generate_data))
logger.info(f" [x] Sent {generate_data}")
break
elif generate_data['status'] == "SUCCESS":
break
time_out -= 1
time.sleep(1)
return self.read_tasks_status()
def infer_cancel(tasks_id):
redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
data = {'status': 'REVOKED', 'message': "revoked", 'data': 'revoked'}
generate_data = json.dumps({'status': 'REVOKED', 'message': "revoked", 'data': 'revoked'})
redis_client.set(tasks_id, generate_data)
return data
if __name__ == '__main__':
# request_data = {
# "user_id": 78,
# "image_url": "123_123.png",
# "category": "print",
# "mode": 1,
# "str": "a simple print",
# "version": "1"
# }
rd = GenerateImageModel(
mode=1,
content='a blouse',
gender='',
user_id=89,
image_url='test/微信图片_20231206133428.jpg',
category='sketch',
version='1',
tasks_id='123456'
)
server = GenerateImage(rd)
server.get_result()
# print(infer_cancel(123456))

3
app/service/generate_image/utils/remove_background.py
View File

@@ -3,11 +3,8 @@ import mmcv
import numpy as np import numpy as np
import torch import torch
from PIL import Image from PIL import Image
import tritonclient.http as httpclient import tritonclient.http as httpclient
import torch.nn.functional as F import torch.nn.functional as F
from app.core.config import * from app.core.config import *

26
app/service/generate_image/utils/upload_sd_image.py
View File

@@ -9,25 +9,29 @@
""" """
import io import io
import logging import logging
from PIL import Image
from minio import Minio from minio import Minio
from app.core.config import * from app.core.config import *
minio_client = Minio( minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
f"{MINIO_IP}:{MINIO_PORT}",
access_key=MINIO_ACCESS,
secret_key=MINIO_SECRET,
secure=MINIO_SECURE)
def upload_png_sd(image, user_id, category, object_name): def upload_png_sd(image, user_id, category, object_name):
try: try:
image_data = io.BytesIO() image_file = io.BytesIO()
image.save(image_data, format='PNG') image = Image.fromarray(image)
image_data.seek(0) image.save(image_file, format='JPEG')
image_bytes = image_data.read() image_file.seek(0)
image_url = f"aida-users/{minio_client.put_object(f'{GI_MINIO_BUCKET}', f'{user_id}/{category}/{object_name}', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}" minio_req = minio_client.put_object(
GI_MINIO_BUCKET,
f'{user_id}/{category}/{object_name}',
image_file,
len(image_file.getvalue()),
content_type='image/jpeg'
)
image_url = f"aida-users/{minio_req.object_name}"
return image_url return image_url
except Exception as e: except Exception as e:
logging.warning(f"upload_png_mask runtime exception : {e}") logging.warning(f"upload_png_mask runtime exception : {e}")

12
app/service/super_resolution/service.py
View File

@@ -24,11 +24,7 @@ class SuperResolution:
self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:] self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
self.sr_image_url = data.sr_image_url self.sr_image_url = data.sr_image_url
self.sr_xn = data.sr_xn self.sr_xn = data.sr_xn
self.minio_client = Minio( self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
f"{MINIO_IP}:{MINIO_PORT}",
access_key=MINIO_ACCESS,
secret_key=MINIO_SECRET,
secure=MINIO_SECURE)
self.redis_client.set(self.tasks_id, json.dumps({'status': 'PENDING', 'message': "pending", 'data': ''})) self.redis_client.set(self.tasks_id, json.dumps({'status': 'PENDING', 'message': "pending", 'data': ''}))
self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS)) self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
self.channel = self.connection.channel() self.channel = self.connection.channel()
@@ -38,7 +34,7 @@ class SuperResolution:
self.triton_client.close() self.triton_client.close()
self.connection.close() self.connection.close()
@RunTime # @RunTime
def read_image(self): def read_image(self):
try: try:
image_data = self.minio_client.get_object(self.sr_image_url.split("/", 1)[0], self.sr_image_url.split("/", 1)[1]) image_data = self.minio_client.get_object(self.sr_image_url.split("/", 1)[0], self.sr_image_url.split("/", 1)[1])
@@ -56,7 +52,7 @@ class SuperResolution:
logging.info(f"{self.tasks_id} ===> {status_data}") logging.info(f"{self.tasks_id} ===> {status_data}")
return status_data return status_data
@RunTime # @RunTime
def infer(self, inputs): def infer(self, inputs):
return self.triton_client.async_infer( return self.triton_client.async_infer(
model_name=SR_MODEL_NAME, model_name=SR_MODEL_NAME,
@@ -64,7 +60,7 @@ class SuperResolution:
callback=self.callback callback=self.callback
) )
@RunTime # @RunTime
def sr_result(self): def sr_result(self):
sample = self.read_image() sample = self.read_image()
if self.sr_xn == 2: if self.sr_xn == 2:

2
app/service/super_resolution/test.py
View File

@@ -1,2 +0,0 @@
a = "123-86"
print(a[a.rfind('-') + 1:])

6
logging_env.py
View File

@@ -17,7 +17,7 @@ LOGGER_CONFIG_DICT = {
"class": "logging.handlers.RotatingFileHandler", "class": "logging.handlers.RotatingFileHandler",
"level": "INFO", "level": "INFO",
"formatter": "simple", "formatter": "simple",
"filename": LOGS_PATH, "filename": f"{LOGS_PATH}info.log",
"maxBytes": 10485760, "maxBytes": 10485760,
"backupCount": 50, "backupCount": 50,
"encoding": "utf8", "encoding": "utf8",
@@ -26,7 +26,7 @@ LOGGER_CONFIG_DICT = {
"class": "logging.handlers.RotatingFileHandler", "class": "logging.handlers.RotatingFileHandler",
"level": "ERROR", "level": "ERROR",
"formatter": "simple", "formatter": "simple",
"filename": LOGS_PATH, "filename": f"{LOGS_PATH}error.log",
"maxBytes": 10485760, "maxBytes": 10485760,
"backupCount": 20, "backupCount": 20,
"encoding": "utf8", "encoding": "utf8",
@@ -35,7 +35,7 @@ LOGGER_CONFIG_DICT = {
"class": "logging.handlers.RotatingFileHandler", "class": "logging.handlers.RotatingFileHandler",
"level": "DEBUG", "level": "DEBUG",
"formatter": "simple", "formatter": "simple",
"filename": LOGS_PATH, "filename": f"{LOGS_PATH}debug.log",
"maxBytes": 10485760, "maxBytes": 10485760,
"backupCount": 50, "backupCount": 50,
"encoding": "utf8", "encoding": "utf8",