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where -TH is the depth delta threshold for consecutive depth frames, -L is the confidence threshold for depth maps, -M is the output mode, 0 mode is output raw decompressed data, 1 mode for output color mapped images
You can find more information in the descriptions for each argument in the script.
If you have the processing server pipeline setup, you can use the scan processing script server/scan_processor.py to get the RGB and depth maps described in the paper, where the depth map is preprocessed to keep only the high confident depth values:
How can I decompress depth and depth confidence files with .zlib suffixes?
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