# 基于yolov7+deepsort的智能交通系统
## 效果视频截图如下
基于yolov7+deepsort的智能交通系统
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2024-05-15
23:56:54
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yolov7-deepsort-traffic-main.zip （77个子文件） 
yolov7-deepsort-traffic-main 
speed.py 10KB main.py 11KB tracker.py 6KB deep_sort configs deep_sort.yaml 200B utils evaluation.py 3KB __init__.py 0B draw.py 1KB parser.py 999B log.py 463B asserts.py 316B io.py 4KB tools.py 734B __pycache__ parser.cpython-37.pyc 1KB __init__.cpython-37.pyc 168B json_logger.py 11KB deep_sort __init__.py 500B sort track.py 5KB kalman_filter.py 8KB __init__.py 0B detection.py 1KB tracker.py 5KB iou_matching.py 3KB preprocessing.py 2KB nn_matching.py 5KB __pycache__ kalman_filter.cpython-37.pyc 7KB tracker.cpython-37.pyc 5KB linear_assignment.cpython-37.pyc 7KB iou_matching.cpython-37.pyc 3KB nn_matching.cpython-37.pyc 6KB __init__.cpython-37.pyc 177B preprocessing.cpython-37.pyc 2KB detection.cpython-37.pyc 2KB track.cpython-37.pyc 5KB linear_assignment.py 8KB deep_sort.py 4KB deep __init__.py 0B checkpoint .gitkeep 0B ckpt.t7 43.9MB evaluate.py 293B feature_extractor.py 2KB model.py 3KB original_model.py 3KB
train.jpg 59KB train.py 6KB __pycache__ feature_extractor.cpython-37.pyc 3KB __init__.cpython-37.pyc 177B model.cpython-37.pyc 3KB test.py 2KB __pycache__ deep_sort.cpython-37.pyc 4KB __init__.cpython-37.pyc 622B README.md 65B video 
output2.mp4 37.3MB README.md 187B yolov7tiny utils utils.py 3KB __init__.py 1B utils_bbox.py 34KB utils_map.py 36KB dataloader.py 16KB utils_fit.py 4KB callbacks.py 10KB __pycache__ utils_bbox.cpython-37.pyc 13KB __init__.cpython-37.pyc 169B utils.cpython-37.pyc 3KB nets __init__.py 1B backbone.py 4KB __pycache__ backbone.cpython-37.pyc 4KB yolo.cpython-37.pyc 5KB __init__.cpython-37.pyc 168B yolo_training.py 31KB yolo.py 7KB model_data 
yolo_anchors.txt 85B simhei.ttf 9.3MB coco_classes.txt 625B voc_classes.txt 134B yolov7_tiny_weights.pth 23.87MB __pycache__ yolo.cpython-37.pyc 15KB yolo.py 33KB资源评论
