在做UNET的眼球血管分割的时候，眼球的图像使用的tif格式存储的，习惯了使用jpg或者png了，先转一下。直接用opencv读进来以后重写一下就可以。
# !/usr/bin/python3# -*- coding:utf-8 -*-# Author:WeiFeng Liu# @Time: /12/9 下午6:41import cv2import numpy as npimport osdef tif_to_png(image_path,save_path):""":param image_path: *.tif image path:param save_path: *.png image path:return:"""img = cv2.imread(image_path,3)# print(img)# print(img.dtype)filename = image_path.split('/')[-1].split('_')[0]# print(filename)save_path = save_path + '/' + filename + '.png'cv2.imwrite(save_path,img)if __name__ == '__main__':root_path = r'视网膜血管数据集/training/images/'save_path = r'Dataset/train/image/'image_files = os.listdir(root_path)for image_file in image_files:tif_to_png(root_path + image_file,save_path)
