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examples/app_tutorials/README.md

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# Quick Start
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TensorLayer Implementation of [YOLOv4: Optimal Speed and Accuracy of Object Detection][1]
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TensorLayer Implementation of [Optimizing Network Structure for 3D Human Pose Estimation][2](ICCV2019)
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## YOLOv4
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### demo
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1. Image
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Modify `image_path` in `./examples/app_tutorials/tutorial_object_detection_yolov4_image.py` according to your demand, then
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```bash
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```bash
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python tutorial_object_detection_yolov4_image.py
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```
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```
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2. Video
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Modify `video_path` in `./examples/app_tutorials/tutorial_object_detection_yolov4_video.py` according to your demand, then
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Modify `video_path` in `./examples/app_tutorials/tutorial_object_detection_yolov4_video.py` according to your demand, then
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```bash
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python tutorial_object_detection_yolov4_video.py
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python tutorial_object_detection_yolov4_video.py
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```
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3. Output
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-Image
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<p align="center"><img src="../../docs/images/yolov4_image_result.png" width="640"\></p>
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-Video
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<p align="center"><img src="../../docs/images/yolov4_video_result.gif" width="640"\></p>
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[3]:https://pan.baidu.com/s/1MC1dmEwpxsdgHO1MZ8fYRQ
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[4]:https://pan.baidu.com/s/1HBHWsAfyAlNaavw0iyUmUQ
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[5]:https://pan.baidu.com/s/1nA96AgMsvs1sFqkTs7Dfaw
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[6]:https://github.com/rujiewu/pose_lcn
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[6]:https://github.com/rujiewu/pose_lcn

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