yolov4 v1.1.0

CHANGELOG

• model: add kernel_regularizer argument
• tf: remove subdivision
• tf: dataset: fix issue where coordinates become 0 due to repeated division
• tf: dataset: modify to shuffle when augmentation
• tf: train: modify order of declaration
• tf: train: give xiou_loss to more weight
• tf: train: use keras.losses.BinaryCrossentropy to avoid nan problem
• tf: train: add verbose argument
• tf: dataset: change converted_coco format
• tf: add image_path_prefix argument to load_dataset()
• tf: add loss_verbose argument to compile()
• tf: reflect dataset format change to save_dataset_for_mAP()