zangcq / yolo2_light

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

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/