TensorFlow-for-Social-Good

YOLOv3 implementation in TensorFlow 2.3.1 forked from pythonlessons. Original readme can be found in originalreadme.txt Presentation used can be found in examples/Presentation.pdf

• Some examples of tomato detection using the YOLO v4 model.

- Some examples of the late blight disease being detected.

These aren't as accurate as the tomatoes as we used a smaller dataset to train on and the labels were very precise.

Install

To install simply clone the repository.

• Required depencencies can be installed through requirements.txt

pip install -r ./requirements.txt

• Pretrained weights and checkpoints are already included and installed from the original repository
• Checkpoints and weights can be found in my TSG Data repository

git clone https://github.com/lorestew/TSG-Data.git

-Place contents directly into the folder and replace existing folders

Guide

detection_custom.py can be used to test the model on images of tomatoes/diseases. Test images have been provided inside of the IMAGES folder. Modify lines 19 and 23 to change the image.

detection_custom.py

To change any existing code, train, or change model refer to original repository.