f4c384d1b1
* add: mish, yololayer, layers * update: CMake * fix: compile * add: yolov4-csp net def * update: cuda kernel for scaled_yolov4 * increase nms thresh * update: README * add: gen_wts * update: CMake * fix memory leak * Update README.md * Update README.md * Update README.md * Update README.md
57 lines
2.1 KiB
Markdown
57 lines
2.1 KiB
Markdown
# scaled-yolov4
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The Pytorch implementation is from [WongKinYiu/ScaledYOLOv4 yolov4-csp branch](https://github.com/WongKinYiu/ScaledYOLOv4/tree/yolov4-csp). It can load yolov4-csp.cfg and yolov4-csp.weights(from AlexeyAB/darknet).
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Note: There is a slight difference in yolov4-csp.cfg for darknet and pytorch. Use the one given in the above repo.
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## Config
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- Input shape `INPUT_H`, `INPUT_W` defined in yololayer.h
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- Number of classes `CLASS_NUM` defined in yololayer.h
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- FP16/FP32 can be selected by the macro `USE_FP16` in yolov4_csp.cpp
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- GPU id can be selected by the macro `DEVICE` in yolov4_csp.cpp
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- NMS thresh `NMS_THRESH` in yolov4_csp.cpp
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- bbox confidence threshold `BBOX_CONF_THRESH` in yolov4_csp.cpp
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- `BATCH_SIZE` in yolov4_csp.cpp
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## How to run
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1. generate yolov4_csp.wts from pytorch implementation with yolov4-csp.cfg and yolov4-csp.weights.
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```
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git clone https://github.com/wang-xinyu/tensorrtx.git
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git clone -b yolov4-csp https://github.com/WongKinYiu/ScaledYOLOv4.git
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// download yolov4-csp.weights from https://github.com/WongKinYiu/ScaledYOLOv4/tree/yolov4-csp#yolov4-csp
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cp {tensorrtx}/scaled-yolov4/gen_wts.py {ScaledYOLOv4/}
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cd {ScaledYOLOv4/}
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python gen_wts.py yolov4-csp.weights
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// a file 'yolov4_csp.wts' will be generated.
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```
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2. put yolov4_csp.wts into {tensorrtx}/scaled-yolov4, build and run
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```
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mv yolov4_csp.wts {tensorrtx}/scaled-yolov4/
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cd {tensorrtx}/scaled-yolov4
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mkdir build
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cd build
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cmake ..
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make
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sudo ./yolov4csp -s // serialize model to plan file i.e. 'yolov4csp.engine'
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sudo ./yolov4csp -d ../../yolov3-spp/samples // deserialize plan file and run inference, the images in samples will be processed.
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```
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3. check the images generated, as follows. _zidane.jpg and _bus.jpg
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<p align="center">
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<img src= https://user-images.githubusercontent.com/39617050/117172509-824cf980-ade9-11eb-8e4c-27dbe658e355.jpg>
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</p>
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<p align="center">
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<img src= https://user-images.githubusercontent.com/39617050/117172880-dbb52880-ade9-11eb-839a-0814fd46198e.jpg>
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</p>
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## More Information
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See the readme in [home page.](https://github.com/wang-xinyu/tensorrtx)
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