import cv2
def resize_image(img_path, mini_size=480, jpeg_quality=80):
"""
缩放image
:param img_path: image的路径
:param mini_size: 最小边的尺寸
:param jpeg_quality: jpeg图片的质量
"""
org_img = cv2.imread(img_path)
img_w = org_img.shape[0]
img_h = org_img.shape[1]
if max(img_w, img_h) > mini_size:
if img_w > img_h:
img_w = mini_size * img_w // img_h
img_h = mini_size
else:
img_h = mini_size * img_h // img_w
img_w = mini_size
dist_size = (img_h, img_w)
r_image = cv2.resize(org_img, dist_size, interpolation=cv2.INTER_AREA)
params = [cv2.IMWRITE_JPEG_QUALITY, jpeg_quality]
img_name = img_path + '_New.jpg'
cv2.imwrite(img_name, r_image, params=[cv2.IMWRITE_JPEG_QUALITY, params])
if __name__ == '__main__':
resize_image('./imgs/encode_mark_img.jpg')
