Library - Export - r3d - Share
python r3d_process.py [options]
--path: Path to the folder that contains r3d files.
--depth: Decode depth file and save depth image.
--video: Save RGB and depth video.
--quiet: Disable logs.
| Device | RGB | Depth |
|---|---|---|
| iPhone LiDAR | 720*920 | 192*256 |
| iPhone TrueDepth | 480*640 | 480*640 |
| RealSense | 480*640 | 480*640 |
Be sure to modify the resolution in the code before you run it.
*.mp4 is for visualization. Use the data in the folders.
metadata: Binary file. K is the intrinsic matrix in order [fx, 0, 0, s, fy, 0, x0, y0, 1].
color/frame#.jpg: RGB image
depth/frame#.png: Depth image
Folder: rgbd
frame#.depth: Original depth (lzfse). The data is in float32 format. See load_depth(). Each value is the actual depth value in meters.
frame#.conf: Confidence map for each frame. The size is the same as the depth map and for each pixel of the depth map it contains an uint8 number in the range 0-2, which suggest the confidence that the sensed LiDAR depth is "correct". In other words, it is a measure of depth data quality.