sample tools for deep learning
DataProcess/divide_data.py: divide data to train and valid
DataProcess/data_aug.py:data augment with imgaug
DataProcess/data_aug_mt.py:data augment with imgaug use multithreading
DataProcess/data_aug_blur.py:generate blur image
DataProcess/down_sample: downsampling
DataProcess/extract_frame: extract frame use cv2
DataProcess/resize_img: resize image with subdirectory
DataProcess/resize_video: resize video
DataProcess/xml2obj: xml to obj
DataProcess/xml2img_mt: crop image according to xml use multiprocessesing
pipeline classify self data with mxnet
mxnet/GenList: generate train list from divided folder
mxnet/train: train
mxnet/test: test