Darknet yolo: https://pjreddie.com/darknet/yolo/
Dataset: https://www.cis.upenn.edu/~jshi/ped_html/
The data set contains only 170 samples, so we expand the dataset
by scaling or cropping each image.
1)genImageBoxLabel: Convert the original annotation to yolov3 label format.
2)splitImageDataset: Split images and labels file to train and test set.
3)testLabel: Rectangle image from yolov3 labels format to validate the labels data.
4)main: Main function to argument the image set by scaling and cropping method.
Dataset description before augmentation(170 sample images).
Dataset description after augmentation(5270 sample images).
Darknet config files for training.
