NVIDIA DeepStream SDK 6.1 / 6.0.1 / 6.0 configuration for YOLO-v5 & YOLO-v7 models

deepstream 6.1_ubuntu20.04 installation.md

Steps to install Deepstream-6.1 on Ubuntu_20.04-LTS, Run YOLO and YOLO.py

***Needed Ubuntu-20 and nvidia driver 510

Step 1: Install Cuda 11.6

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-60
wget https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda-repo-ubuntu2004-11-6-local_11.6.1-510.47.03-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-6-local_11.6.1-510.47.03-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu2004-11-6-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda
    
    
    
sudo nano ~/.bashrc
    
#paste these 2 lines at the end of bashrc file
export LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/cuda-11.6/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
export PATH="/usr/local/cuda-11.6/bin:$PATH"
source ~/.bashrc

Step 1.1: Install Cuda 11.4

tensort 8.2* installations requires cuda-11.4 cuda samples.

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.4.1/local_installers/cuda-repo-ubuntu1804-11-4-local_11.4.1-470.57.02-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804-11-4-local_11.4.1-470.57.02-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu1804-11-4-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda

Step 2: Install cudnn 8.4.0.27

wget https://developer.nvidia.com/compute/cudnn/secure/8.4.0/local_installers/11.6/cudnn-local-repo-ubuntu2004-8.4.0.27_1.0-1_amd64.deb
sudo dpkg -i cudnn-local-repo-ubuntu2004-8.4.0.27_1.0-1_amd64.deb
sudo apt-get update
sudo apt install libcudnn8=8.4.0.27-1+cuda11.6 libcudnn8-dev=8.4.0.27-1+cuda11.6

Step 3: Installing tensorrt 8.2.5.1

wget https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.2.5.1/local_repos/nv-tensorrt-repo-ubuntu2004-cuda11.4-trt8.2.5.1-ga-20220505_1-1_amd64.deb
sudo dpkg -i nv-tensorrt-repo-ubuntu2004-cuda11.4-trt8.2.5.1-ga-20220505_1-1_amd64.deb
sudo apt-key add /var/nv-tensorrt-repo-ubuntu2004-cuda11.4-trt8.2.5.1-ga-20220505/82307095.pub
sudo apt-get update
sudo apt install tensorrt

Step 4: Installing Deepstream 6.1

please Uninstall any previous deepstream versions

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 \
libgstrtspserver-1.0-0 \
libjansson4 \
libyaml-cpp-dev \
gcc \
make \
git \
python3

wget https://developer.nvidia.com/deepstream-6.1_6.1.0-1_amd64deb
sudo dpkg -i deepstream-6.1_6.1.0-1_amd64.deb

Step 5 : Install librdkafka (to enable Kafka protocol adaptor for message broker)

git clone https://github.com/edenhill/librdkafka.git
cd librdkafka
#git reset --hard 7101c2310341ab3f4675fc565f64f0967e135a6a
./configure
sudo make -j
sudo make install
sudo mkdir -p /opt/nvidia/deepstream/deepstream-6.1/lib
sudo cp /usr/local/lib/librdkafka* /opt/nvidia/deepstream/deepstream-6.1/lib

Step 6: test deepstream installation

deepstream-app -h

Step 7: lets try YOLO ;)

Step 7.1

(YOLOv5)

cd ~/Downloads 
git clone https://github.com/marcoslucianops/DeepStream-Yolo.git
cd DeepStream-Yolo

CUDA_VER=11.6 make -C nvdsinfer_custom_impl_Yolo


git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

#here we are testing for yolov5n
wget https://github.com/ultralytics/yolov5/releases/download/v6.1/yolov5n.pt

cd ..
cp -r utils/gen_wts_yoloV5.py yolov5/gen_wts_yoloV5.py
cd yolov5 
python3 gen_wts_yoloV5.py -w yolov5n.pt

#Copy generated cfg and wts files to DeepStream-Yolo folder
cp -r yolov5n.cfg ~/Downloads/DeepStream-Yolo
cp -r yolov5n.wts ~/Downloads/DeepStream-Yolo

Step 7.2

(YOLOv7)

cd ~/Downloads 
git clone https://github.com/marcoslucianops/DeepStream-Yolo.git
cd DeepStream-Yolo

CUDA_VER=11.6 make -C nvdsinfer_custom_impl_Yolo


git clone https://github.com/WongKinYiu/yolov7  # clone
cd yolov7
pip install -r requirements.txt  # install

#here we are testing for yolov5n
wget hhttps://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt

cd ..
cp -r utils/gen_wts_yoloV7.py yolov7/gen_wts_yoloV7.py
cd yolov7 
python3 gen_wts_yoloV7.py -w yolov7.pt

#Copy generated cfg and wts files to DeepStream-Yolo folder
cp -r yolov7n.cfg ~/Downloads/DeepStream-Yolo
cp -r yolov7n.wts ~/Downloads/DeepStream-Yolo

Step 8: Change the deepstream_app_config.txt file

...
[primary-gie]
enable=1
gpu-id=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=config_infer_primary_yoloV5.txt
#or
config-file=config_infer_primary_yoloV7.txt

...

#run
deepstream-app -c deepstream_app_config.txt

Step 9:Installing python binding

wget https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/releases/download/v1.1.2/pyds-1.1.2-py3-none-linux_x86_64.whl
pip3 install ./pyds-1.1.2-py3-none-linux_x86_64.whl
# or
python3.8 -m pip install ./pyds-1.1.2-py3-none-linux_x86_64.whl

sudo apt install libcairo2-dev libxt-dev libgirepository1.0-dev
pip install pycairo PyGObject

Step 10: Running yolo.py

wget https://raw.githubusercontent.com/bharath5673/Deepstream/main/deepstream-yolo.py
python3 deepstream-yolo.py file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4

Step 11: Running yolo-Tracker.py

wget https://raw.githubusercontent.com/bharath5673/Deepstream/main/deepstream-yolo-track.py
wget https://raw.githubusercontent.com/bharath5673/Deepstream/main/tracker_config.txt
python3 deepstream-yolo-track.py /opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.h264

why did you install 2 Cuda? 11.6 and 11.4?

can i install deepstream on windows

No

the link to yolo.py is not working now could you please reshare the working link

/usr/include/x86_64-linux-gnu/NvInferRuntimeCommon.h:19:10: fatal error: cuda_runtime_api.h: No such file or directory

i don't have this file in directory

I'm getting following error:
dpkg-deb: error: 'deepstream-6.1_6.1.0-1_amd64.deb' is not a Debian format archive

I'm getting following error: dpkg-deb: error: 'deepstream-6.1_6.1.0-1_amd64.deb' is not a Debian format archive

Found the problem. F***ing nVidia gives login page instead of .deb package:

5.730 --2024-04-06 13:36:00--  https://developer.nvidia.com/deepstream-6.1_6.1.0-1_arm64deb
5.739 Resolving developer.nvidia.com (developer.nvidia.com)... 152.199.20.126, 152.199.20.126
5.807 Connecting to developer.nvidia.com (developer.nvidia.com)|152.199.20.126|:443... connected.
6.011 HTTP request sent, awaiting response... 301 Moved Permanently
6.143 Location: https://developer.nvidia.com/downloads/deepstream-6.1_6.1.0-1_arm64deb [following]
6.144 --2024-04-06 13:36:01--  https://developer.nvidia.com/downloads/deepstream-6.1_6.1.0-1_arm64deb
6.144 Reusing existing connection to developer.nvidia.com:443.
6.144 HTTP request sent, awaiting response... 302 Found
6.864 Location: https://developer.nvidia.com/login [following]
6.864 --2024-04-06 13:36:02--  https://developer.nvidia.com/login
6.864 Reusing existing connection to developer.nvidia.com:443.
6.864 HTTP request sent, awaiting response... 200 OK
7.457 Length: 8533 (8.3K) [text/html]
7.457 Saving to: ‘deepstream-6.1_6.1.0-1_arm64deb’
7.473
7.473      0K ........                                              100% 1.01M=0.008s
7.473
7.473 2024-04-06 13:36:02 (1.01 MB/s) - ‘deepstream-6.1_6.1.0-1_arm64deb’ saved [8533/8533]