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__future__ absolute_import __future__ division __future__ print_function os glob cv2 numpy np data_process_filenames(path): ft3d_path = path ft3d_train_disp_path = os.path.join(ft3d_path, ) disparity_filenames = (glob.glob(ft3d_train_disp_path + )) i ((disparity_filenames)): disp_img = cv2.imread(disparity_filenames[i],=-) disp_img = cv2.resize(disp_img, =(, ), =cv2.INTER_LINEAR) eps = (m, M) = (disp_img.min(), disp_img.max()) disp_img = * (disp_img - m) / (M - m) * disp_img[disp_img > (- eps)] = - eps disp_img[disp_img < eps] = eps names = % i cv2.imwrite(+ names + , disp_img) (names) path=data_process_filenames(path) |
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