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Update for DeepStream 6.2

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Marcos Luciano
2023-04-10 12:33:34 -03:00
parent e7c77ee9fe
commit ab6de54c43
10 changed files with 413 additions and 54 deletions
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395
README.md
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@@ -1,6 +1,6 @@
# DeepStream-Yolo
NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
### Future updates
@@ -58,13 +58,23 @@ NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
### Requirements
#### DeepStream 6.2 on x86 platform
* [Ubuntu 20.04](https://releases.ubuntu.com/20.04/)
* [CUDA 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=runfile_local)
* [TensorRT 8.5 GA Update 1 (8.5.2.2)](https://developer.nvidia.com/nvidia-tensorrt-8x-download)
* [NVIDIA Driver 525.85.12 (Data center / Tesla series) / 525.105.17 (TITAN, GeForce RTX / GTX series and RTX / Quadro series)](https://www.nvidia.com.br/Download/index.aspx)
* [NVIDIA DeepStream SDK 6.2](https://developer.nvidia.com/deepstream-getting-started)
* [GStreamer 1.16.3](https://gstreamer.freedesktop.org/)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.1.1 on x86 platform
* [Ubuntu 20.04](https://releases.ubuntu.com/20.04/)
* [CUDA 11.7 Update 1](https://developer.nvidia.com/cuda-11-7-1-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=runfile_local)
* [TensorRT 8.4 GA (8.4.1.5)](https://developer.nvidia.com/nvidia-tensorrt-8x-download)
* [NVIDIA Driver 515.65.01](https://www.nvidia.com.br/Download/index.aspx)
* [NVIDIA DeepStream SDK 6.1.1](https://developer.nvidia.com/deepstream-getting-started)
* [NVIDIA DeepStream SDK 6.1.1](https://developer.nvidia.com/deepstream-sdk-download-tesla-archived)
* [GStreamer 1.16.2](https://gstreamer.freedesktop.org/)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
@@ -74,7 +84,7 @@ NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
* [CUDA 11.6 Update 1](https://developer.nvidia.com/cuda-11-6-1-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=runfile_local)
* [TensorRT 8.2 GA Update 4 (8.2.5.1)](https://developer.nvidia.com/nvidia-tensorrt-8x-download)
* [NVIDIA Driver 510.47.03](https://www.nvidia.com.br/Download/index.aspx)
* [NVIDIA DeepStream SDK 6.1](https://developer.nvidia.com/deepstream-getting-started)
* [NVIDIA DeepStream SDK 6.1](https://developer.nvidia.com/deepstream-sdk-download-tesla-archived)
* [GStreamer 1.16.2](https://gstreamer.freedesktop.org/)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
@@ -83,15 +93,21 @@ NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
* [Ubuntu 18.04](https://releases.ubuntu.com/18.04.6/)
* [CUDA 11.4 Update 1](https://developer.nvidia.com/cuda-11-4-1-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=18.04&target_type=runfile_local)
* [TensorRT 8.0 GA (8.0.1)](https://developer.nvidia.com/nvidia-tensorrt-8x-download)
* [NVIDIA Driver >= 470.63.01](https://www.nvidia.com.br/Download/index.aspx)
* [NVIDIA Driver 470.63.01](https://www.nvidia.com.br/Download/index.aspx)
* [NVIDIA DeepStream SDK 6.0.1 / 6.0](https://developer.nvidia.com/deepstream-sdk-download-tesla-archived)
* [GStreamer 1.14.5](https://gstreamer.freedesktop.org/)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.2 on Jetson platform
* [JetPack 5.1.1 / 5.1](https://developer.nvidia.com/embedded/jetpack)
* [NVIDIA DeepStream SDK 6.2](https://developer.nvidia.com/deepstream-sdk)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.1.1 on Jetson platform
* [JetPack 5.0.2](https://developer.nvidia.com/embedded/jetpack)
* [NVIDIA DeepStream SDK 6.1.1](https://developer.nvidia.com/deepstream-sdk)
* [JetPack 5.0.2](https://developer.nvidia.com/embedded/jetpack-sdk-502)
* [NVIDIA DeepStream SDK 6.1.1](https://developer.nvidia.com/embedded/deepstream-on-jetson-downloads-archived)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.1 on Jetson platform
@@ -193,6 +209,165 @@ topk = 300
To install the DeepStream on dGPU (x86 platform), without docker, we need to do some steps to prepare the computer.
<details><summary>DeepStream 6.2</summary>
#### 1. Disable Secure Boot in BIOS
#### 2. Install dependencies
```
sudo apt-get update
sudo apt-get install gcc make git libtool autoconf autogen pkg-config cmake
sudo apt-get install python3 python3-dev python3-pip
sudo apt-get install dkms
sudo apt install libssl1.1 libgstreamer1.0-0 gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav libgstreamer-plugins-base1.0-dev libgstrtspserver-1.0-0 libjansson4 libyaml-cpp-dev libjsoncpp-dev protobuf-compiler
sudo apt-get install linux-headers-$(uname -r)
```
**NOTE**: Purge all NVIDIA driver, CUDA, etc (replace $CUDA_PATH to your CUDA path)
```
sudo nvidia-uninstall
sudo $CUDA_PATH/bin/cuda-uninstaller
sudo apt-get remove --purge '*nvidia*'
sudo apt-get remove --purge '*cuda*'
sudo apt-get remove --purge '*cudnn*'
sudo apt-get remove --purge '*tensorrt*'
sudo apt autoremove --purge && sudo apt autoclean && sudo apt clean
```
#### 3. Install CUDA Keyring
```
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
```
#### 4. Download and install NVIDIA Driver
<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/525.105.17/NVIDIA-Linux-x86_64-525.105.17.run
```
<blockquote><details><summary>Laptop</summary>
* Run
```
sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd
```
**NOTE**: This step will disable the nouveau drivers.
* Reboot
```
sudo reboot
```
* Install
```
sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd
```
**NOTE**: If you are using a laptop with NVIDIA Optimius, run
```
sudo apt-get install nvidia-prime
sudo prime-select nvidia
```
</details></blockquote>
<blockquote><details><summary>Desktop</summary>
* Run
```
sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
**NOTE**: This step will disable the nouveau drivers.
* Reboot
```
sudo reboot
```
* Install
```
sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</details></blockquote>
</blockquote></details>
<details><summary>Data center / Tesla series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/525.105.17/NVIDIA-Linux-x86_64-525.105.17.run
```
* Run
```
sudo sh NVIDIA-Linux-x86_64-510.47.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</blockquote></details>
#### 5. Download and install CUDA
```
wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
sudo sh cuda_11.8.0_520.61.05_linux.run --silent --toolkit
```
* Export environment variables
```
echo $'export PATH=/usr/local/cuda-11.8/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc && source ~/.bashrc
```
#### 6. Install TensorRT
```
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt-get update
sudo apt-get install libnvinfer8=8.5.2-1+cuda11.8 libnvinfer-plugin8=8.5.2-1+cuda11.8 libnvparsers8=8.5.2-1+cuda11.8 libnvonnxparsers8=8.5.2-1+cuda11.8 libnvinfer-bin=8.5.2-1+cuda11.8 libnvinfer-dev=8.5.2-1+cuda11.8 libnvinfer-plugin-dev=8.5.2-1+cuda11.8 libnvparsers-dev=8.5.2-1+cuda11.8 libnvonnxparsers-dev=8.5.2-1+cuda11.8 libnvinfer-samples=8.5.2-1+cuda11.8 libcudnn8=8.7.0.84-1+cuda11.8 libcudnn8-dev=8.7.0.84-1+cuda11.8 python3-libnvinfer=8.5.2-1+cuda11.8 python3-libnvinfer-dev=8.5.2-1+cuda11.8
sudo apt-mark hold libnvinfer* libnvparsers* libnvonnxparsers* libcudnn8* python3-libnvinfer* tensorrt
```
#### 7. Download from [NVIDIA website](https://developer.nvidia.com/deepstream-getting-started) and install the DeepStream SDK
DeepStream 6.2 for Servers and Workstations (.deb)
```
sudo apt-get install ./deepstream-6.2_6.2.0-1_amd64.deb
rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
sudo ln -snf /usr/local/cuda-11.8 /usr/local/cuda
```
#### 8. Reboot the computer
```
sudo reboot
```
</details>
<details><summary>DeepStream 6.1.1</summary>
#### 1. Disable Secure Boot in BIOS
@@ -230,17 +405,15 @@ sudo apt-get update
#### 4. Download and install NVIDIA Driver
* TITAN, GeForce RTX / GTX series and RTX / Quadro series
<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/515.65.01/NVIDIA-Linux-x86_64-515.65.01.run
```
* Data center / Tesla series
```
wget https://us.download.nvidia.com/tesla/515.65.01/NVIDIA-Linux-x86_64-515.65.01.run
```
<blockquote><details><summary>Laptop</summary>
* Run
@@ -269,6 +442,50 @@ sudo apt-get install nvidia-prime
sudo prime-select nvidia
```
</details></blockquote>
<blockquote><details><summary>Desktop</summary>
* Run
```
sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
**NOTE**: This step will disable the nouveau drivers.
* Reboot
```
sudo reboot
```
* Install
```
sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</details></blockquote>
</blockquote></details>
<details><summary>Data center / Tesla series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/tesla/515.65.01/NVIDIA-Linux-x86_64-515.65.01.run
```
* Run
```
sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</blockquote></details>
#### 5. Download and install CUDA
```
@@ -349,17 +566,15 @@ sudo apt-get update
#### 4. Download and install NVIDIA Driver
* TITAN, GeForce RTX / GTX series and RTX / Quadro series
<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/510.47.03/NVIDIA-Linux-x86_64-510.47.03.run
```
* Data center / Tesla series
```
wget https://us.download.nvidia.com/tesla/510.47.03/NVIDIA-Linux-x86_64-510.47.03.run
```
<blockquote><details><summary>Laptop</summary>
* Run
@@ -388,6 +603,50 @@ sudo apt-get install nvidia-prime
sudo prime-select nvidia
```
</details></blockquote>
<blockquote><details><summary>Desktop</summary>
* Run
```
sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
**NOTE**: This step will disable the nouveau drivers.
* Reboot
```
sudo reboot
```
* Install
```
sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</details></blockquote>
</blockquote></details>
<details><summary>Data center / Tesla series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/tesla/510.47.03/NVIDIA-Linux-x86_64-510.47.03.run
```
* Run
```
sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</blockquote></details>
#### 5. Download and install CUDA
```
@@ -486,17 +745,15 @@ sudo apt-get update
#### 4. Download and install NVIDIA Driver
* TITAN, GeForce RTX / GTX series and RTX / Quadro series
<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/470.129.06/NVIDIA-Linux-x86_64-470.129.06.run
```
* Data center / Tesla series
```
wget https://us.download.nvidia.com/tesla/470.129.06/NVIDIA-Linux-x86_64-470.129.06.run
```
<blockquote><details><summary>Laptop</summary>
* Run
@@ -529,6 +786,56 @@ sudo apt-get install nvidia-prime
sudo prime-select nvidia
```
</details></blockquote>
<blockquote><details><summary>Desktop</summary>
* Run
```
sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
**NOTE**: This step will disable the nouveau drivers.
**NOTE**: Remove --dkms flag if you installed the 5.11.0 kernel.
* Reboot
```
sudo reboot
```
* Install
```
sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
**NOTE**: Remove --dkms flag if you installed the 5.11.0 kernel.
</details></blockquote>
</blockquote></details>
<details><summary>Data center / Tesla series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/tesla/470.129.06/NVIDIA-Linux-x86_64-470.129.06.run
```
* Run
```
sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
**NOTE**: Remove --dkms flag if you installed the 5.11.0 kernel.
</blockquote></details>
#### 5. Download and install CUDA
```
@@ -598,6 +905,12 @@ cd DeepStream-Yolo
#### 3. Compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -616,7 +929,7 @@ cd DeepStream-Yolo
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
@@ -661,15 +974,15 @@ config-file=config_infer_primary_yoloV2.txt
* x86 platform
```
nvcr.io/nvidia/deepstream:6.1.1-devel
nvcr.io/nvidia/deepstream:6.1.1-triton
nvcr.io/nvidia/deepstream:6.2-devel
nvcr.io/nvidia/deepstream:6.2-triton
```
* Jetson platform
```
nvcr.io/nvidia/deepstream-l4t:6.1.1-samples
nvcr.io/nvidia/deepstream-l4t:6.1.1-triton
nvcr.io/nvidia/deepstream-l4t:6.2-samples
nvcr.io/nvidia/deepstream-l4t:6.2-triton
```
**NOTE**: To compile the `nvdsinfer_custom_impl_Yolo`, you need to install the g++ inside the container
@@ -678,26 +991,12 @@ config-file=config_infer_primary_yoloV2.txt
apt-get install build-essential
```
**NOTE**: With DeepStream 6.1.1, the docker containers do not package libraries necessary for certain multimedia operations like audio data parsing, CPU decode, and CPU encode. This change could affect processing certain video streams/files like mp4 that include audio track. Please run the below script inside the docker images to install additional packages that might be necessary to use all of the DeepStreamSDK features:
**NOTE**: With DeepStream 6.2, the docker containers do not package libraries necessary for certain multimedia operations like audio data parsing, CPU decode, and CPU encode. This change could affect processing certain video streams/files like mp4 that include audio track. Please run the below script inside the docker images to install additional packages that might be necessary to use all of the DeepStreamSDK features:
```
/opt/nvidia/deepstream/deepstream/user_additional_install.sh
```
**NOTE**: With DeepStream 6.1, the container image missed to include certain header files that will be available on host machine with Compute libraries installed from Jetpack. To mount the headers, use:
```
-v /usr/include/aarch64-linux-gnu/NvInfer.h:/usr/include/aarch64-linux-gnu/NvInfer.h -v /usr/include/aarch64-linux-gnu/NvInferLegacyDims.h:/usr/include/aarch64-linux-gnu/NvInferLegacyDims.h -v /usr/include/aarch64-linux-gnu/NvInferRuntimeCommon.h:/usr/include/aarch64-linux-gnu/NvInferRuntimeCommon.h -v /usr/include/aarch64-linux-gnu/NvInferVersion.h:/usr/include/aarch64-linux-gnu/NvInferVersion.h -v /usr/include/aarch64-linux-gnu/NvInferRuntime.h:/usr/include/aarch64-linux-gnu/NvInferRuntime.h -v /usr/include/aarch64-linux-gnu/NvInferImpl.h:/usr/include/aarch64-linux-gnu/NvInferImpl.h -v /usr/include/aarch64-linux-gnu/NvCaffeParser.h:/usr/include/aarch64-linux-gnu/NvCaffeParser.h -v /usr/include/aarch64-linux-gnu/NvUffParser.h:/usr/include/aarch64-linux-gnu/NvUffParser.h -v /usr/include/aarch64-linux-gnu/NvInferPlugin.h:/usr/include/aarch64-linux-gnu/NvInferPlugin.h -v /usr/include/aarch64-linux-gnu/NvInferPluginUtils.h:/usr/include/aarch64-linux-gnu/NvInferPluginUtils.h -v /usr/local/cuda/:/usr/local/cuda/
```
<details>
<summary>Example</summary>
```
sudo docker run -it --rm --net=host --runtime nvidia -e DISPLAY=$DISPLAY -w /opt/nvidia/deepstream/deepstream-6.1 -v /tmp/.X11-unix/:/tmp/.X11-unix -v /usr/include/aarch64-linux-gnu/NvInfer.h:/usr/include/aarch64-linux-gnu/NvInfer.h -v /usr/include/aarch64-linux-gnu/NvInferLegacyDims.h:/usr/include/aarch64-linux-gnu/NvInferLegacyDims.h -v /usr/include/aarch64-linux-gnu/NvInferRuntimeCommon.h:/usr/include/aarch64-linux-gnu/NvInferRuntimeCommon.h -v /usr/include/aarch64-linux-gnu/NvInferVersion.h:/usr/include/aarch64-linux-gnu/NvInferVersion.h -v /usr/include/aarch64-linux-gnu/NvInferRuntime.h:/usr/include/aarch64-linux-gnu/NvInferRuntime.h -v /usr/include/aarch64-linux-gnu/NvInferImpl.h:/usr/include/aarch64-linux-gnu/NvInferImpl.h -v /usr/include/aarch64-linux-gnu/NvCaffeParser.h:/usr/include/aarch64-linux-gnu/NvCaffeParser.h -v /usr/include/aarch64-linux-gnu/NvUffParser.h:/usr/include/aarch64-linux-gnu/NvUffParser.h -v /usr/include/aarch64-linux-gnu/NvInferPlugin.h:/usr/include/aarch64-linux-gnu/NvInferPlugin.h -v /usr/include/aarch64-linux-gnu/NvInferPluginUtils.h:/usr/include/aarch64-linux-gnu/NvInferPluginUtils.h -v /usr/local/cuda/:/usr/local/cuda/ nvcr.io/nvidia/deepstream-l4t:6.1-samples
```
</details>
##
### NMS Configuration
@@ -729,6 +1028,12 @@ sudo apt-get install libopencv-dev
#### 2. Compile/recompile the `nvdsinfer_custom_impl_Yolo` lib with OpenCV support
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 OPENCV=1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -747,7 +1052,7 @@ sudo apt-get install libopencv-dev
CUDA_VER=11.4 OPENCV=1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 OPENCV=1 make -C nvdsinfer_custom_impl_Yolo

8
docs/PPYOLOE.md
View File

@@ -48,6 +48,12 @@ Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -66,7 +72,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOR.md
View File

@@ -52,6 +52,12 @@ Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -70,7 +76,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOX.md
View File

@@ -54,6 +54,12 @@ Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -72,7 +78,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv5.md
View File

@@ -83,6 +83,12 @@ Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -101,7 +107,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv6.md
View File

@@ -81,6 +81,12 @@ Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -99,7 +105,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv7.md
View File

@@ -85,6 +85,12 @@ Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -103,7 +109,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv8.md
View File

@@ -75,6 +75,12 @@ Copy the generated `cfg`, `wts` and `labels.txt` (if generated), files to the `D
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -93,7 +99,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/customModels.md
View File

@@ -27,6 +27,12 @@ cd DeepStream-Yolo
### Compile the lib
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -45,7 +51,7 @@ cd DeepStream-Yolo
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/multipleGIEs.md
View File

@@ -52,6 +52,12 @@ const char* YOLOLAYER_PLUGIN_VERSION {"2"};
**NOTE**: Do it for each GIE folder, replacing the GIE folder name (`gie1/nvdsinfer_custom_impl_Yolo`).
* DeepStream 6.2 on x86 platform
```
CUDA_VER=11.8 make -C gie1/nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 on x86 platform
```
@@ -70,7 +76,7 @@ const char* YOLOLAYER_PLUGIN_VERSION {"2"};
CUDA_VER=11.4 make -C gie1/nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C gie1/nvdsinfer_custom_impl_Yolo