The apple_quility_screening project utilizes darknet, yolov3, and yolov3-tiny to perform visual machine learning. Code inside this repository serves for the purpose of data augmentation and generate training file for darknet. Being able to crop, shift, add_light, add_noise, rotate and mirror the image and make corresponding changes to the bounding boxes. Involves the use of os, cv2, skiImg, numpy and application of Affine transformation during calculations. Added the ability to convert txt from windows format into unix format.
JuntaoXu/apple_quility_screening
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