整个代码参考：bubbliiiing/object-detection-augmentation。

random_data.py 

import cv2
import numpy as np
from PIL import Image, ImageDrawdef rand(a=0, b=1):return np.random.rand()*(b-a) + adef get_random_data(annotation_line, input_shape, jitter=.3, hue=.1, sat=0.7, val=0.4, random=True):line    = annotation_line.split()#------------------------------##   读取图像并转换成RGB图像#------------------------------#image   = Image.open(line[0])image   = image.convert('RGB')#------------------------------##   获得图像的高宽与目标高宽#------------------------------#iw, ih  = image.sizeh, w    = input_shape#------------------------------##   获得预测框#------------------------------#box     = np.arra