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

Makefile 0.38% C 83.14% Python 0.19% Shell 0.07% Batchfile 0.28% C++ 12.67% Cuda 3.28%

yolo2_light's Introduction

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/

yolo2_light's People

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