Update README.md,windows.md and demo.cpp
Small fixes in DeformableConvRT.cpp
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@@ -7,17 +7,18 @@
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- [Run the demo on Windows](#run-the-demo-on-windows)
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- [FP16 inference windows](#fp16-inference-windows)
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- [INT8 inference windows](#int8-inference-windows)
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- [Run tkDNN on WSL2 with cuda](#tkdnn-on-cuda-wsl)
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- [Known issues with tkDNN on Windows](#known-issues-with-tkdnn-on-windows)
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### Dependencies-Windows
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This branch should work on every NVIDIA GPU supported in windows with the following dependencies:
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* WINDOWS 10 1803 or HIGHER
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* CUDA 10.0 (Recommended CUDA 11.2 )
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* CUDNN 7.6 (Recommended CUDNN 8.1.1 )
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* TENSORRT 6.0.1 (Recommended TENSORRT 7.2.3.4 )
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* OPENCV 3.4 (Recommended OPENCV 4.2.0 )
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* MSVC 16.7
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* CUDA 11.2
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* CUDNN 8.1.1
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* TENSORRT 7.2.3
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* OPENCV 4.2
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* MSVC 16.9+
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* YAML-CPP
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* EIGEN3
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* 7ZIP (ADD TO PATH)
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@@ -58,7 +59,7 @@ To run the object detection file create .rt file bu running:
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Once the rt file has been successfully create,run the demo using the following command:
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```
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.\demo.exe yolo4tiny_fp32.rt ..\demo\yolo_test.mp4 y
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.\demo.exe yolo4_fp32.rt ..\demo\yolo_test.mp4 y 80 ..\tests\darknet\cfg\yolo4.cfg ..\tests\darknet\names\cococ.names
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```
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For general info on more demo paramters,check Run the demo section on top
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To run the test_all_tests.sh on windows,use git bash or msys2
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@@ -85,11 +86,17 @@ del /f yolo4tiny_int8.rt # be sure to delete(or move) old tensorRT files
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```
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### Run tkDNN on WSL2 with cuda
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tkDNN works on wsl2 with cuda,although not all networks (centernet,mobilenet) work properly.
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If you encounter issues with running the network as a result of driver not found or cuda launch error,running the following command should solve the issue
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```cp /usr/lib/wsl/lib/lib* /usr/lib/x86_64-linux-gnu/ ```
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### Known issues with tkDNN on Windows
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Mobilenet and Centernet demos work properly only when built with msvc 16.7 in Release Mode,when built in debug mode for the mentioned networks one might encounter opencv assert errors
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In theory all models (centernet,mobilenet,darknet,centertrack,cnet3d and shelfnet) should work on Windows.
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All Darknet models work properly with demo using MSVC version(16.7-16.9)
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On pascal cards(sm 6x) ,nvidia cuda wsl driver 510.06 don't work well with tkDNN both on windows and cuda wsl , Nvidia drivers >465+ and < 500 are completely supported .
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It is recommended to use Nvidia Driver(465+),Cuda unknown errors have been observed when using older drivers on pascal(SM 61) devices.
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