fix 类别映射表修改
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@@ -1,17 +1,13 @@
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import datetime
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from pprint import pprint
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from pprint import pprint
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import mmcv
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import cv2
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import cv2
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import mmcv
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import numpy as np
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import numpy as np
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import requests
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import pandas as pd
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import torch
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import torch
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import tritonclient.http as httpclient
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import tritonclient.http as httpclient
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from PIL import Image
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from skimage import transform
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from torchvision import transforms
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import pandas as pd
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from minio import Minio
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from minio import Minio
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from skimage import transform
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from app.core.config import MINIO_IP, MINIO_PORT, MINIO_SECURE, MINIO_ACCESS, MINIO_SECRET, ATT_TRITON_IP, ATT_TRITON_PORT
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from app.core.config import MINIO_IP, MINIO_PORT, MINIO_SECURE, MINIO_ACCESS, MINIO_SECRET, ATT_TRITON_IP, ATT_TRITON_PORT
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from app.service.attribute_recognition.config.category_mapping import category_mapping
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from app.service.attribute_recognition.config.category_mapping import category_mapping
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@@ -107,7 +103,7 @@ class AttributeRecognition:
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print(category)
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print(category)
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if category == 'tops':
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if category == 'tops':
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attr_dict = {'Item': category}
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attr_dict = {'Item': "top"}
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for i in range(len(args.top_discription_list)):
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for i in range(len(args.top_discription_list)):
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attr_description = args.top_discription_list[i]
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attr_description = args.top_discription_list[i]
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attr_model_path = args.top_model_list[i]
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attr_model_path = args.top_model_list[i]
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@@ -115,10 +111,7 @@ class AttributeRecognition:
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attr_dict = Merge(attr_dict, present_dict)
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attr_dict = Merge(attr_dict, present_dict)
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elif category == 'bottoms':
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elif category == 'bottoms':
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attr_dict = {}
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attr_dict = {'Item': "bottom", 'Type': ['Pants']}
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category = 'bottom'
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attr_dict['Item'] = category
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attr_dict['Type'] = ['Pants']
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for i in range(len(args.bottom_discription_list)):
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for i in range(len(args.bottom_discription_list)):
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attr_description = args.bottom_discription_list[i]
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attr_description = args.bottom_discription_list[i]
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attr_model_path = args.bottom_model_list[i]
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attr_model_path = args.bottom_model_list[i]
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