Comments (3)
Thank you for your interest!
This value is a normalizer, which can be set arbitrarily as long as it's larger than the max possible motion and has to be consistent during train and test. On YCB, I remember we set to 0.03m and 5deg for training. So the second figure (vispy) corresponds to the configuration we used. Also make sure you are running on our organized YCB data as the depth has been filled. Otherwise, depending on the hardware and each run, the inference results could be slightly different, as what you observed, the 1e-3 magnitude is within the possible range though. Therefore, the "Ours_YCB_results" are provided for reference in case others want to make plots for comparison etc.
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Thank you for your prompt reply! Really appreciate everything you shared. It helps a lot!
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Also make sure you are running on our organized YCB data as the depth has been filled
@wenbowen123 Could you share the code for bilateral filtering and hole filling for depth mentioned in your paper?
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Related Issues (20)
- questions regard setup HOT 2
- About posecnn initialization pose
- Some details about the generation of the training samples. HOT 2
- CuDNN error while running predict.sh HOT 2
- Is this package free for commercial use? HOT 1
- TypeError: float() argument must be a string or a number, not 'open3d.open3d.geometry.PointCloud' HOT 3
- Can not download YCBInEOAT datasets HOT 2
- Array shape mismatch when rendering HOT 6
- About the assertion in `train.py` HOT 6
- Epoch is not saved to the Torch checkpoint HOT 2
- Unexpected keyword argument HOT 1
- Array size mismatch when running `predict_ros.py` HOT 3
- Performance on textureless objects HOT 3
- docker: Error response from daemon: could not select device driver "" with capabilities: [[gpu]]. ERRO[0000] error waiting for container: HOT 2
- problem in getting inference on novel objects using python predict_ros.py inside docker HOT 3
- clarification regarding synthetic data generation HOT 1
- error in running python blender_main.py -- Color management: image colorspace "sRGB OETF" not found, will use default instead. HOT 2
- Failed to initialize Pyglet window with an OpenGL >= 3+ context. HOT 7
- Dockerfile HOT 1
- ValueError: could not broadcast input array from shape (226,501,3) into shape (226,0,3) HOT 2
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