pytorch 图像前处理

记录一些常用的前处理，每次都重写也是很费劲。。

```python

import cv2
import numpy as np

# 不失真resize 在resize时加上黑边
def distortionless_resize(img_org,target_size = (112,112)):
	h,w,c = img_org.shape
	target_w,target_h = target_size
	if target_h==target_w:
	    if h==w:
	    	new_img = cv2.resize(img_org,target_size)
		elif h>w:
			new_img = np.zeros((h,h,3),np.uint8)
			new_img[:,int(h-w)//2:int(h-w)//2+w,:]=img_org
			new_img = cv2.resize(new_img,target_size)

		else:
			new_img = np.zeros((w,w,3),np.uint8)
			new_img[int(w-h)//2:int(w-h)//2+w,:,:]
			new_img = cv2.resize(new_img,target_size)
	else:
		scale = h/w
		target_scale = target_h/target_w
		if scale-target_scale<1e-3:
			new_img = cv2.resize(img_org,target_size)
		elif scale 
					
										


					

						
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