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.

Related tags

Deep Learning minimalist tensorrt deepsort yolov5
Overview

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. Install the requirements

    pip install -r requirements.txt

  3. 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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Comments
  • ImportError: libyolov5.so，how to fix it？

    ImportError: libyolov5.so，how to fix it？

    Traceback (most recent call last): File "demo.py", line 17, in import yolo_deepsort ImportError: libyolov5.so: cannot open shared object file: No such file or directory

    opened by Robert-hua 5
  • 请问如何python调用deepsort.engine文件？

    请问如何python调用deepsort.engine文件？

    我现在是可以调用预测的engine文件了（根据你之前的加速模型预测那部分github的代码），但是deepsort部分的engine文件不会调用，是跟预测那部分一样吗？如果是，cuda.memcpy_htod_async(cuda_inputs[0], host_inputs[0], stream)中的host_inputs格式应该怎么写？因为模型预测只传图片，但是deepsort要传多个变量。。

    opened by StawEndl 1
  • requirements.txt not found

    requirements.txt not found

    could you please tell me where is requirements.txt？

    meanwhile, I pip install yolov5_deepsort_tensorrt project's requirements.txt, then I run demo.py I found this error:

    Traceback (most recent call last): File "demo.py", line 10, in import yolo_deepsort ImportError: libyolov5.so: cannot open shared object file: No such file or directory

    opened by YuzhouPeng 7
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