opencvresize图片为正方形尺寸的实现方法-创新互联

在深度学习中,模型的输入size通常是正方形尺寸的,比如300 x 300这样．直接resize的话，会把图像拉的变形．通常我们希望resize以后仍然保持图片的宽高比．

例如：

如果直接resize到的话:

而我们希望得到:

可以利用copyMakeBorder和resize配合达到我们的目的．

import cv2
def resize_keep_aspectratio(image_src,dst_size):
  src_h,src_w = image_src.shape[:2]
  print(src_h,src_w)
  dst_h,dst_w = dst_size 
  
  #判断应该按哪个边做等比缩放
  h = dst_w * (float(src_h)/src_w)#按照ｗ做等比缩放
  w = dst_h * (float(src_w)/src_h)#按照h做等比缩放
  
  h = int(h)
  w = int(w)
  
  if h <= dst_h:
    image_dst = cv2.resize(image_src,(dst_w,int(h)))
  else:
    image_dst = cv2.resize(image_src,(int(w),dst_h))
  
  h_,w_ = image_dst.shape[:2]
  print(h_,w_)
  
  top = int((dst_h - h_) / 2);
  down = int((dst_h - h_+1) / 2);
  left = int((dst_w - w_) / 2);
  right = int((dst_w - w_+1) / 2);
  
  value = [0,0,0]
  borderType = cv2.BORDER_CONSTANT
  print(top, down, left, right)
  image_dst = cv2.copyMakeBorder(image_dst, top, down, left, right, borderType, None, value)
 
  return image_dst

image_src = cv2.imread("/home/sc/disk/data/bdd-data/bdd_data/bdd100k/images/10k/train/0a0a0b1a-7c39d841.jpg")
dst_size = (720,720)

image = resize_keep_aspectratio(image_src,dst_size)
cv2.imshow("aaa",image)
print(image.shape)
if 27 == cv2.waitKey():
  cv2.destroyAllWindows()