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MarvinKlemp 2020-11-12 10:07:54 +01:00 committed by GitHub
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@ -303,7 +303,7 @@ Before make, you can set such options in the `Makefile`: [link](https://github.c
or use in such a way: `LD_LIBRARY_PATH=./:$LD_LIBRARY_PATH ./uselib data/coco.names cfg/yolov4.cfg yolov4.weights test.mp4`
* `ZED_CAMERA=1` to build a library with ZED-3D-camera support (should be ZED SDK installed), then run
`LD_LIBRARY_PATH=./:$LD_LIBRARY_PATH ./uselib data/coco.names cfg/yolov4.cfg yolov4.weights zed_camera`
* If you use a never version than CUDA 11 you further need to edit line 20 from Makefile and remove `-gencode arch=compute_30,code=sm_30 \`
* You also need to specify for which graphics card the code is generated. This is done by setting `ARCH=`. If you use a never version than CUDA 11 you further need to edit line 20 from Makefile and remove `-gencode arch=compute_30,code=sm_30 \` as Kepler GPU support was dropped in CUDA 11. You can also drop the general `ARCH=` and just uncomment `ARCH=` for your graphics card.
To run Darknet on Linux use examples from this article, just use `./darknet` instead of `darknet.exe`, i.e. use this command: `./darknet detector test ./cfg/coco.data ./cfg/yolov4.cfg ./yolov4.weights`