1 import os,sys 2 import cv2 3 import numpy as np 4 from skimage import io#使用IO库读取tif图片 5 6 7 def tif_jpg_transform(file_path_name, bgr_savepath_name): 8 img = io.imread(file_path_name)#读取文件名 9 img = img / img.max()#使其所有值不大于一 10 img = img * 255 - 0.001 # 减去0.001防止变成负整型 11 img = img.astype(np.uint8)#强制转换成8位整型 12 # img = np.array([img,img,img]) 13 # img = img.transpose(1,2,0) 14 # print(img.shape) # 显示图片大小和深度 15 b = img[:, :, 0] # 读取蓝通道 16 g = img[:, :, 1] # 读取绿通道 17 r = img[:, :, 2] # 读取红通道 18 bgr = cv2.merge([r, g, b]) # 通道拼接 19 cv2.imwrite(bgr_savepath_name, bgr)#图片存储 20 21 22 tif_file_path = r'D:\Pythster-VGGUP\testimg\B'# 为tif图片的文件夹路径 23 tif_fileList = os.listdir(tif_file_path) 24 for tif_file in tif_fileList: 25 file_path_name = tif_file_path + '/' + tif_file 26 jpg_path = r'D:\PythonPrVGGUP\testimg\bjpg' + '/' + tif_file.split('.')[0] + '.jpg' #.jpg图片的保存路径 27 tif_jpg_transform(file_path_name, jpg_path) 28 print(tif_file.split('.')[0])