人工智能_YOLOv3_行人重识别_利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人

[{"title":"（ 51 个子文件 5.52MB ） 人工智能_YOLOv3_行人重识别_利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人","children":[{"title":"person_search_demo-master","children":[{"title":"models.py <span style='color:#111;'> 20.86KB </span>","children":null,"spread":false},{"title":"search.py <span style='color:#111;'> 10.68KB </span>","children":null,"spread":false},{"title":"cfg","children":[{"title":"yolov3.cfg <span style='color:#111;'> 8.14KB </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"coco.names <span style='color:#111;'> 621B </span>","children":null,"spread":false},{"title":"samples","children":[{"title":"c3s1_000501.jpg <span style='color:#111;'> 301.73KB </span>","children":null,"spread":false},{"title":"c1s1_002376.jpg <span style='color:#111;'> 263.99KB </span>","children":null,"spread":false},{"title":"c1s1_002351.jpg <span style='color:#111;'> 263.66KB </span>","children":null,"spread":false},{"title":"c1s1_002301.jpg <span style='color:#111;'> 262.27KB </span>","children":null,"spread":false},{"title":"c1s1_009476.jpg <span style='color:#111;'> 268.28KB </span>","children":null,"spread":false},{"title":"c1s1_009451.jpg <span style='color:#111;'> 265.99KB </span>","children":null,"spread":false},{"title":"c3s1_000551.jpg <span style='color:#111;'> 301.50KB </span>","children":null,"spread":false},{"title":"c1s1_009376.jpg <span style='color:#111;'> 263.97KB </span>","children":null,"spread":false},{"title":"c1s1_002326.jpg <span style='color:#111;'> 264.96KB </span>","children":null,"spread":false},{"title":"c1s1_009526.jpg <span style='color:#111;'> 271.24KB </span>","children":null,"spread":false},{"title":"c1s1_001051.jpg <span style='color:#111;'> 268.98KB </span>","children":null,"spread":false},{"title":"c1s1_014901.jpg <span style='color:#111;'> 260.33KB </span>","children":null,"spread":false},{"title":"c3s1_001626.jpg <span style='color:#111;'> 299.71KB </span>","children":null,"spread":false},{"title":"c1s1_002401.jpg <span style='color:#111;'> 260.37KB </span>","children":null,"spread":false},{"title":"c1s1_014776.jpg <span style='color:#111;'> 263.90KB </span>","children":null,"spread":false},{"title":"c1s1_014601.jpg <span style='color:#111;'> 274.44KB </span>","children":null,"spread":false}],"spread":false},{"title":"coco.data <span style='color:#111;'> 110B </span>","children":null,"spread":false}],"spread":true},{"title":"query","children":[{"title":"0001_c1s1_001051_00.jpg <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false},{"title":"0001_c6s1_009601_00.jpg <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"reid","children":[{"title":"config","children":[{"title":"__init__.py <span style='color:#111;'> 113B </span>","children":null,"spread":false},{"title":"defaults.py <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"build.py <span style='color:#111;'> 761B </span>","children":null,"spread":false},{"title":"collate_batch.py <span style='color:#111;'> 373B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 117B </span>","children":null,"spread":false},{"title":"transforms","children":[{"title":"build.py <span style='color:#111;'> 454B </span>","children":null,"spread":false},{"title":"transforms.py <span style='color:#111;'> 1.82KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 117B </span>","children":null,"spread":false}],"spread":true},{"title":"datasets","children":[{"title":"bases.py <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 158B </span>","children":null,"spread":false},{"title":"dataset_loader.py <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"eval_reid.py <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false},{"title":"market1501.py <span style='color:#111;'> 3.86KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"modeling","children":[{"title":"__init__.py <span style='color:#111;'> 427B </span>","children":null,"spread":false},{"title":"backbones","children":[{"title":"resnet.py <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 83B </span>","children":null,"spread":false},{"title":"resnet_ibn_a.py <span style='color:#111;'> 5.41KB </span>","children":null,"spread":false}],"spread":true},{"title":"baseline.py <span style='color:#111;'> 2.34KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"detect.py <span style='color:#111;'> 6.58KB </span>","children":null,"spread":false},{"title":"query_get.py <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"utils.py <span style='color:#111;'> 25.40KB </span>","children":null,"spread":false},{"title":"init.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"datasets.py <span style='color:#111;'> 25.57KB </span>","children":null,"spread":false},{"title":"torch_utils.py <span style='color:#111;'> 2.23KB </span>","children":null,"spread":false},{"title":"parse_config.py <span style='color:#111;'> 3.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"show.jpg <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]