Manual image classifier for purposes such as deep learning
This is just a little piece of program that acts as a tool for conveniently classifying training images for purposes such as deep learning.
Start GUI of the tool. Currently there are only three buttons: class_1, class_2 and skip. Click on class_1 if you want to classify the current image to the first class, and the program will copy the image to the corresponding folder. Same for class_2. Click on skip if you don't want to use the current image data. Next image will be shown as soon as you click on any of the three buttons.
Usage:
ManualLabeler {arg1: path of an image folder with mixed-class image data} {arg2 (optional): particular file name that you are interested in, otherwise "*"} {arg3 (optional): particular folder name that is under arg1 and that you are interested in, otherwise "*"}
e.g. ManualLabeler C:\images
- Python3.7
- matplotlib
- numpy
- shutil