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View Code? Open in Web Editor NEWcode for Category-agnostic Skeletal Animal Reconstruction
License: Apache License 2.0
code for Category-agnostic Skeletal Animal Reconstruction
License: Apache License 2.0
Hi,
I have an issue when running python main.py -c config/real_world.yaml
After running the clip_retrieve.py, the retrieval animal is correctly set.
However, after constructing the data_utils.Optimization_data()
object, the .npz
and .png
files are loaded for the test_animal
.
This is rather strange as we have as input of the test_animal
the Annotations and JPEGImages from DAVIS, and thus no .npz
files.
I'd hope to recieve clarification regarding this.
Thanks
Hi,
Thanks for the great work!
As described in the paper, the re-animation optimizes the joint angles of each bone for the skeletal shape, or the rigid transform for control point-based shape to minimize the Chamfer Distance between the reference shape and the predicted shape.
I was wondering how this is achieved for LASR and ViSER as these two methods rely on 2D observations (images, optical flow etc.) instead of directly optimizing to fit a target 3D shape. Could you provide more details on the procedure to do re-animation for LASR and ViSER in the paper? Thanks!
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