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All Projects → cong → yolov5_deepsort_tensorrt_cpp

cong / yolov5_deepsort_tensorrt_cpp

Licence: MIT License
This repo is a C++ version of yolov5_deepsort_tensorrt. Packing all C++ programs into .so files, using Python script to call C++ programs further.

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yolov5_deepsort_tensorrt_cpp

Introduction

This repo is a C++ version of yolov5_deepsort_tensorrt.

And packing all C++ programs into .so files, using Python script to call C++ programs further.

The entire project file size totals 40MB

NVIDIA Jetson Xavier NX and the X86 architecture works all be ok.

Since this project is being used in a science and technology major project, we just temporarily provide a test example.

Environments

All platforms：

  • CUDA and cuDNN latest
  • Python 3.7
  • OpenCV-Python latest (we use 4.2)

Speed

The speeds of DeepSort depend on the target number in the picture.

The following data are tested in the case of single target and 100+ targets with 720p USB camera.

Platforms Single target 100+ targets
GTX 2080Ti 8ms / 125FPS / 1247M 31ms / 32FPS / 1247M
Jetson Xavier NX -ms / -FPS / -M -ms / -FPS / -M

Inference

  1. Clone this repo

    git clone https://github.com/cong/yolov5_deepsort_tensorrt_cpp.git

  2. Run

    python demo.py

Customize

  1. Training your own model.
  2. Convert your own model to engine.
  3. Replace the ***.engine file.

Optional setting

  • Your likes are my motivation to update the project, if you feel that it is helpful to you, please give me a star. Thx! :)
  • For more information you can visit the Blog.
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