rashitech / yolov3_annotation_tool

GUI for annotation of images in darknet format

YoloV3-Annotation-Tool

The goal is to create text files in darknet yolo format that will be fed to training to the CNN. Below is explained pretty much how to use the functionalities. Disclaimer: Credits to ManivannanMurugavel , you can find his repo here documentations . This repos is somewhat a correction of his repo, as being busy probably did he not notice the issue I raised about not displaying the whole picture.

General Prerequisites

python3
tkinter
(From the commands it is implicit that this is exact commands 
are targetting Mac OSX and Linux, you will have to tweak by yourself for Windows, or ask me questions)

Structure:

Images: folder where you have to throw in the pictures you want to annotate

Labels: automatically a respective yolo format self of the images' in the folder 
Images will be created in Labels with the same path. 

classes.txt: the different class of objects you want to detect using yolov3, 
write in the same syntax as in the one cloned directly from our repo.

main.py: GUI for annotations

process.py: creates txt files in yolov3 format

train.txt/test.txt: (or names similar to it, created from process.py) txt files in yolov3 format to be used during training too

Usage:

In order to use the GUI and then create the files for the "orders" that receives the training for darknet: On terminal do the following:

python3 main.py
python3 process.py -arg

To know usage of process.py, to "-h" command.

EXTRA

Enjoy ! And look at my other repositories, especially this one : my_repo where I have a full applications of detection using yoloV3 and haarcascade (using Custom Data) and recognition for cats and dogs ! (demo with camera possible or IOS Apps)