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Light version of convolutional neural network Yolo v2 for objects detection with a minimum of dependencies

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yolo2_light

Light version of convolutional neural network Yolo v2 for objects detection with a minimum of dependencies

This repository supports:

  • both Windows and Linux
  • both OpenCV 3.x and OpenCV 2.4.13
  • both cuDNN 5 and cuDNN 6
  • CUDA >= 7.5

How to compile:

  • To compile for CPU just do make on Linux or build yolo_cpu.sln on Windows

  • To compile for GPU set flag GPU=1 in the Makefile on Linux or build yolo_gpu.sln on Windows

    Required both CUDA >= 7.5 and cuDNN >= 5.1

How to start:

  • Download yolo-voc.weights to the bin directory and run ./yolo.sh on Linux (or yolo_cpu.cmd / yolo_gpu.cmd on Windows)
  • Download tiny-yolo-voc.weights to the bin directory and run ./tiny-yolo.sh

Other models by the link: https://pjreddie.com/darknet/yolo/

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Light version of convolutional neural network Yolo v2 for objects detection with a minimum of dependencies

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  • C 83.0%
  • C++ 12.7%
  • Cuda 3.3%
  • Makefile 0.4%
  • Batchfile 0.3%
  • Python 0.2%
  • Shell 0.1%