README

YOLO in caffe

1. Introduction

This is a caffe implementation of the YOLO:Real-Time Object Detection

Note, the caffe models are not trained in caffe, but converted from darknet's (.weight) files (http://pjreddie.com/darknet/yolo/).
 

2. Model files

YOLO_small: https://drive.google.com/file/d/0Bzy9LxvTYIgKa3ZHbnZPLUo0eWs/view?usp=sharing
YOLO_tiny: https://drive.google.com/file/d/0Bzy9LxvTYIgKNFEzOEdaZ3U0Nms/view?usp=sharing

3. Usage

python yolo_main.py -m model_filename -w weight_filename -i image_filename

replace model_filename with corresponding prototxt file path (/your/path/to/yolo_small_deploy.prototxt or yolo_tiny_deploy.prototxt), weight_filename with 
the caffemodel file (/your/path/to/yolo_tiny.caffemodel or yolo_small.caffemodel) and image_filename with the target image file

4. Requirements

   a) Caffe, pycaffe
   b) Opencv2

5. Copyrights
 
According to the LICENSE file of the original code,

   a) Me and original author hold no liability for any damages
   b) Do not use this on commercial!