https://blog.csdn.net/jiacong_wang/article/details/105631229
把vgg16用在单通道灰度图上https://blog.csdn.net/u012955739/article/details/88896695?utm_medium distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3.no_search_link depth_1-utm_source distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3.no_search_link
深度图可视化读取import numpy as np from cv2 import cv2 # 读取的图片 img_path depth0118.png uint8_img cv2.imread(img_path) uint16_img cv2.imread(img_path, -1) uint16_img - uint16_img.min() uint16_img uint16_img / (uint16_img.max() - uint16_img.min()) uint16_img * 255 new_uint16_img uint16_img.astype(np.uint8) cv2.imshow( UINT8 , uint8_img) cv2.imshow( UINT16 , new_uint16_img) # 保存深度图 cv2.imwrite( 118.jpg , new_uint16_img)
