This is a modified version of Darknet.keras, with some bugs fixed and YOLO Model support.

###Contributions

1. Modified DarkNet.py to load YOLO Model(rather than YOLO Tiny Model) weights files.
2. Modified RunTinyYOLO.py, which had a few bugs, to reproduce YOLO detection results in darknet.

###TODO

1. Building network structure by hand is tedious, should write code to do so automatically from cfg files
2. Implement training code

###The original README This is a transfer from weights trained by Darknet to keras with Theano backend.

Currently I only finish test process for YOLO Tiny Model.

Due to image preprocess difference bewteen my reimplementaion and Darknet's, the result has slightly difference.

To run the code:

1. Create three folders: weights, results, images.
2. Put the images you want to detect in the folder images.
3. Download yolo-tiny.weights from Darknet website and put it in the folder weights.
4. Run:

   python RunTinyYolo.py
   

The detection result will be saved in the results folder

Notes: Make sure your have Theano and Keras installed