Weird Mesh from provided Colab example

After running the colab provided example, it came out a weird result (see attached screenshot from cloudcompare). I didnt get any error apart from

# run inference
!python inference.py --model results/release/semseg/final.ckpt --scenes data/sample/sample1/info.json --voxel_dim 208 208 80

0 1 sample sample1 0 250
/usr/local/lib/python3.6/dist-packages/detectron2/modeling/backbone/fpn.py:133: UserWarning: Mixed memory format inputs detected while calling the operator. The operator will output channels_last tensor even if some of the inputs are not in channels_last format. (Triggered internally at  /pytorch/aten/src/ATen/native/TensorIterator.cpp:924.)
  prev_features = lateral_features + top_down_features
0 1 sample sample1 25 250
0 1 sample sample1 50 250
0 1 sample sample1 75 250
0 1 sample sample1 100 250
0 1 sample sample1 125 250
0 1 sample sample1 150 250
0 1 sample sample1 175 250
0 1 sample sample1 200 250
0 1 sample sample1 225 250

Is this warning the root of the problem? How can I solve it?

Can anyone show the expected result from this example? Thx a lot

[zmurez-ml]

The colors represent the semantic labels (using the NYU40 colormap). So green is floor, pink is table, yellow is chair, etc.

The code also supports a model the regresses rgb color but we do not provide a pretrained model with this head.https://github.com/magicleap/Atlas/blob/7fe755cd2ad31348a796cf215778f58e0c835821/atlas/heads3d.py#L211

[HaFred]

hi, can i ask which software did you use to show .ply file? thanks

Meshlab