使用albumentations库进行数据增强

需要注意增强之后以字典键值的形式调用输出，且可以保证img、gt的随机增强是一一对应一致的。

import albumentations as albu

tfrd = albu.Compose([
    albu.HorizontalFlip(p=0.5),
    albu.VerticalFlip(p=0.5),
    albu.ShiftScaleRotate(shift_limit = 0,scale_limit = 0,rotate_limit=(-30,30),p=1,border_mode=cv2.BORDER_CONSTANT,value=0),
    albu.Blur(blur_limit=3, p=0.3),
])

for name in trainlist:
    img = cv2.imread(os.path.join(img_dir,name))
    gt = cv2.imread(os.path.join(gt_dir,name))
    
    for j in range(4):
        ns = tfrd(image=img,mask=gt)
        newimg,newgt= ns['image'],ns['mask']
        cv2.imwrite(os.path.join(img_dir,'t'+str(j)+'_'+name),newimg)
        cv2.imwrite(os.path.join(gt_dir,'t'+str(j)+'_'+name),newgt)
        tmp.append('t'+str(j)+'_'+name)