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pytorch图片数据增强方式

三维控件研究 2022-04-02 阅读 93
pytorch

分类任务中数据增强可使用 torchvision 中的自带 transforms 进行数据增强

而分割任务中,需要保持img和mask进行相同的数据增强,可以使用 Albumentations库

Albumentations库

import albumentations as A

data_trans_train = A.Compose([A.Resize(height=512, width=512),
		                 A.Flip(p=0.5),
		                 A.ShiftScaleRotate(shift_limit=0.2, scale_limit=0.2, rotate_limit=180, p=0.5,
		                                    border_mode=cv2.BORDER_CONSTANT),
		                 A.HorizontalFlip(p=0.5),
		                 ToTensorV2()
		                 ])


data_trans_val = A.Compose([A.Resize(height=512, width=512),
		                 ToTensorV2()
		                 ])
train_data = data_seg(root_path='./od/train',flag='train',transforms=data_trans_train)
val_data = data_seg(root_path='./od/val',flag='val',transforms=data_trans_val)

train_dataloader = DataLoader(train_data,batch_size=batch_size)
val_dataloader = DataLoader(val_data,batch_size=batch_size)

data_seg中的部分如下:

    def __getitem__(self, idx):
        #transforms = self.transforms
        #flag = self.flag

        img_name = self.img_list[idx]
        #root_path = self.root_path

        if self.flag != 'test':       
            img_item_path = os.path.join(self.root_path,'img',img_name)  
            label_item_path = os.path.join(self.root_path,'label',img_name) 

            img = cv2.imread(img_item_path).copy() # [:, :, ::-1] BGR -> RGB
            label = cv2.imread(label_item_path,cv2.IMREAD_GRAYSCALE).copy() # [:, :, ::-1] BGR -> RGB
                       
            transformed = self.transforms(image=img,mask=label)            
            img = transformed['image']
            label = transformed['mask']
            
            img = (img/255.0).to(torch.float32)
            label = (label/255.0).to(torch.float32)

            label[label >= 0.5] = 1.0
            label[label <  0.5] = 0.0
            label = torch.unsqueeze(label,dim=0)

            return img,label

 也可以使用torchvision方法

方法参考: 数据增强——image和mask同样变换 的(Pytorch)实现方法___jiangcheng的博客-CSDN博客icon-default.png?t=M276https://blog.csdn.net/pengkingli/article/details/120294698?spm=1001.2101.3001.6650.2&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-2.pc_relevant_paycolumn_v3&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-2.pc_relevant_paycolumn_v3&utm_relevant_index=5

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