Skip to content

sunshineatnoon/Darknet.keras

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Darknet.keras

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

IMPORTANT WARNING

This code is written for older version of YOLO weight, now the weight has updated to version 2.0, so the code is no longer working. In order to make it work, one has to change ReadTinyYOLONetWeights to read new YOLO weight bite by bite.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages