#coding=utf8
import os,cv2,shutil
import numpy as np
import random
#旋转任意度数,旋转之后图像的宽高并没有交换
def rotate(image, angle, scale=1):
w = image.shape[1]
h = image.shape[0]
#rotate matrix
M = cv2.getRotationMatrix2D((w/2,h/2), angle, scale)
#rotate
image = cv2.warpAffine(image,M,(w,h))
return image
#顺时针旋转90度,旋转之后图像宽高被交换
def Rotate90(img):
trans_img = cv2.transpose(img)
new_img = cv2.flip(trans_img, 1)
return new_img
#逆时针旋转90度,旋转之后图像宽高被交换
def Rotate_90(img):
trans_img = cv2.transpose( img )
new_img = cv2.flip( trans_img, 0 )
return new_img
if __name__ == "__main__":
path='./ocr_crop'
save_path = './ocr_crop_rotate'
for image_name in os.listdir(path):
image_path = os.path.join(path, image_name)
print(image_path)
img = cv2.imread(image_path)
print("img.shape[1]:",img.shape[1])
print("img.shape[0]:",img.shape[0])
img_rotate = Rotate90(img)
print("img_rotate.shape[1]:",img_rotate.shape[1])
print("img_rotate.shape[0]:",img_rotate.shape[0])
cv2.imwrite(os.path.join(save_path, image_name), img_rotate)
python-opencv对图像进行旋转
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转载自blog.csdn.net/u013171226/article/details/115163514
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