In SgSlam and ScanNet, their data sequence are collected from RGB-D sensors. The data format is as follow,
|---ab0201_03a
|---color
|---depth
|---pose
|---intrinsic
|---prediction_no_augment
|---frame-000000_label.json # Image taging and detection results
|---frame-000000_mask.png # Pixel-wise instance mask
|--- ...
In the sequence name ab0201_03a
, ab0201
is a scene id and 03a
is a scanning index.
At the end of each sequence, the mapping node save the results in a pre-defined output folder. The output format is as below.
|---output
|---ab0201_03a
|---instance_map.ply # points are colored instance-wise
|---instance_info.txt
|---instance_box.txt
|---${idx}.ply (intanace-wise point cloud)
|--- ...
We organize the dataset folder as below.
${SGSLAM_DATAROOT}
|---splits
|---val.txt
|---scans
|---ab0201_03a
|--- ...
|---output
|---online_mapping # mapping results
ScanNet
dataset folder is organized in the same way.