DeepStream-Yolo-Face

NVIDIA DeepStream SDK application for YOLO-Face models

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YOLO objetct detection models and other infos: https://github.com/marcoslucianops/DeepStream-Yolo

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Getting started

• Supported models
• Instructions
• YOLOv5-Face usage
• YOLOv7-Face usage
• YOLOv8-Face usage
• NMS configuration
• Detection threshold configuration

Supported models

• YOLOv8-Face
• YOLOv7-Face
• YOLOv5-Face

Instructions

1. Download the DeepStream-Yolo-Face repo

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

2. Compile the libs

Export the CUDA_VER env according to your DeepStream version and platform:

• DeepStream 6.3 on x86 platform

  export CUDA_VER=12.1
  

• DeepStream 6.2 on x86 platform

  export CUDA_VER=11.8
  

• DeepStream 6.1.1 on x86 platform

  export CUDA_VER=11.7
  

• DeepStream 6.1 on x86 platform

  export CUDA_VER=11.6
  

• DeepStream 6.0.1 / 6.0 on x86 platform

  export CUDA_VER=11.4
  

• DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform

  export CUDA_VER=11.4
  

• DeepStream 6.0.1 / 6.0 on Jetson platform

  export CUDA_VER=10.2
  

Compile the libs

make -C nvdsinfer_custom_impl_Yolo_face
make

NOTE: To use the Python code, you need to install the DeepStream Python bindings.

Reference: https://github.com/NVIDIA-AI-IOT/deepstream_python_apps

• x86 platform:

  wget https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/releases/download/v1.1.8/pyds-1.1.8-py3-none-linux_x86_64.whl
  pip3 install pyds-1.1.8-py3-none-linux_x86_64.whl
  

• Jetson platform:

  wget https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/releases/download/v1.1.8/pyds-1.1.8-py3-none-linux_aarch64.whl
  pip3 install pyds-1.1.8-py3-none-linux_aarch64.whl
  

NOTE: It is recommended to use Python virtualenv.

NOTE: The steps above only work on DeepStream 6.3. For previous versions, please check the files on the NVIDIA-AI-IOT/deepstream_python_apps repo.

3. Run

• C code

  ./deepstream -s file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 -c config_infer_primary_yoloV8_face.txt
  

• Python code

  python3 deepstream.py -s file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 -c config_infer_primary_yoloV8_face.txt
  

NOTE: The TensorRT engine file may take a very long time to generate (sometimes more than 10 minutes).

NOTE: To change the source

-s file:// or rtsp:// or http://
--source file:// or rtsp:// or http://

NOTE: To change the config infer file (example for config_infer.txt file)

-c config_infer.txt
--config-infer config_infer.txt

NOTE: To change the nvstreammux batch-size (example for 2; default: 1)

-b 2
--streammux-batch-size 2

NOTE: To change the nvstreammux width (example for 1280; default: 1920)

-w 1280
--streammux-width 1280

NOTE: To change the nvstreammux height (example for 720; default: 1080)

-e 720
--streammux-height 720

NOTE: To change the GPU id (example for 1; default: 0)

-g 1
--gpu-id 1

NOTE: To change the FPS measurement interval (example for 10; default: 5)

-f 10
--fps-interval 10

NMS configuration

For now, the nms-iou-threshold is fixed to 0.45.

NOTE: Make sure to set cluster-mode=4 in the config_infer file.

Detection threshold configuration

[class-attrs-all]
pre-cluster-threshold=0.25
topk=300

My projects: https://www.youtube.com/MarcosLucianoTV