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When I use the network to train the 360monodepth database, the result is very poor. In the code, I only replace the data, and read the depth map.
The original code is as following:
depth_fd = h5py.File(depth_path, "r")
distance_meters = np.array(depth_fd['dataset'])
depth = hypersim_distance_to_depth(distance_meters)
I modity the code as following:
depth = (cv2.imread(depth_path, cv2.CV_16UC1)) / 255.0
The text was updated successfully, but these errors were encountered:
When I use the network to train the 360monodepth database, the result is very poor. In the code, I only replace the data, and read the depth map.
The original code is as following:
depth_fd = h5py.File(depth_path, "r")
distance_meters = np.array(depth_fd['dataset'])
depth = hypersim_distance_to_depth(distance_meters)
I modity the code as following:
depth = (cv2.imread(depth_path, cv2.CV_16UC1)) / 255.0
The text was updated successfully, but these errors were encountered: