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View Code? Open in Web Editor NEW[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
License: Other
[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
License: Other
Hello,
I have been playing around with your code and was successfully able to test the model on the provided test data.
However, I would like to test this on custom rgbd data which is following the same structure as scannet.
How do I create the .sdf.ann
and .image
files for a scene? The test set has them generated but I could not find anywhere the method to generate those files
I did try to rename my rgb images and depth images to match one of the scene(scene0779_00) 0.jpg,20.jpg ..
for rgb 0.png,20.png ...
for depth and 0.txt, 20.txt ...
. Doing so resulted in predictions being made on toilet,sink etc., which were part of the original scene and not my custom scene as, I believe, the 3d data is being loaded for .image
file.
Hello,I want to run the Prepare_2d_data,but it need scannetv2-labels.combined.tsv,where's it?
Hi, In the default params of train.py, the voxel size is set to 0.05m and I think the name of your models are similarly set to scannet5.pth.
But, the 3dMV paper mentions voxel size of 0.048 m
Could you clarify what is the voxel size used in the h5 files?
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