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bai
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| deep_sort_pytorch | 3 years ago | |
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| yolo_mindspore | 3 years ago | |
| 000.txt | 3 years ago | |
| LICENSE.md | 3 years ago | |
| README.md | 3 years ago | |
| app.py | 3 years ago | |
| base_camera.py | 3 years ago | |
| best.pt | 3 years ago | |
| camera.py | 3 years ago | |
| camera_test.py | 3 years ago | |
| detect.py | 3 years ago | |
| end2end_onnxruntime.ipynb | 3 years ago | |
| end2end_tensorrt.ipynb | 3 years ago | |
| export.py | 3 years ago | |
| hubconf.py | 3 years ago | |
| image_to_xml.py | 3 years ago | |
| log.py | 3 years ago | |
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| question_linjie.md | 3 years ago | |
| requirements.txt | 3 years ago | |
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| tf09_keras_regression-wide_deep-subclass.ipynb | 3 years ago | |
| tf13_keras_regression-hp-search-sklearn.ipynb | 3 years ago | |
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| voc_to_yolo.py | 3 years ago | |
| yolo_detect_distince.py | 3 years ago | |
| yolo_detect_mask.py | 3 years ago | |
| yolov5_distince.py | 3 years ago | |
| yolov5_flask.py | 3 years ago | |
| yolov5_flask_distince.py | 3 years ago | |
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README.md
一
- yolov5_distince.py :基于yolov5社交距离
- yolov5_flask.py :基于yolov5+flask 网页端实现
- yolov5_flask_distince.py :基于yolov5+flask+社交距离 网页端实现
- camera.py :基于yolov5+deepsort（目标跟踪）+Flask Video Streaming实现浏览器打开摄像头 进行目标跟踪
二、安装与使用
1、部署环境
pip install -r requirements.txt
2、运行（无flask版本）
python xxx.py --source xxx
3、运行（含flask版本）
- 在根目录下的app.py 修改from yolov5_flask import Camera 的包名（根据自己需求，这里采用yolov5_flask.py）
- 在浏览器使用摄像头就用：from camera import Camera
- 运行:flask run
- 浏览器访问:http://127.0.0.1:5000/index即可
随着人工智能和大数据的发展，任一方面对自动化工具有着一定的需求，在当下疫情防控期间，使用mindspore来实现yolo模型来进行目标检测及语义分割，对视频或图片都可以进行口罩佩戴检测和行人社交距离检测，来对公共场所的疫情防控来实行自动化管理。
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