Unverified Commit 2be8fa52 authored by mikebitsoko's avatar mikebitsoko Committed by GitHub

Docs

parent c0555133
# YoloOneTouch
Tested on Ubuntu 16.04LTS, Python3 - @Bitsoko
1.Data preparation to yolo format
2.Yolo config files auto editing and generation (yolo cfg, obj.data , obj.names)
3.Automatic training launch
4.Automatic classes determination
5.Automatoc pre-trained weights download if not present
6.Yolo installation check
YoloOneTouch, lets you focus on the data ONLY using labelImg! It does the rest!
DEPENDS ON:
-yolo cfg starter file - will be modified automatically - already provided in this repo
-Data set folder as generated by labelimg - https://github.com/tzutalin/labelImg
-require darknet yolo model installation
-$git clone https://github.com/pjreddie/darknet
-$cd darknet
-$make
$pwd
Getting started with yolo model can be a painful experience
Especially in data preparation as yolo expects data in a certain format
......
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