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View Code? Open in Web Editor NEWKeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
Home Page: https://arxiv.org/abs/2002.12687
License: MIT License
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
Home Page: https://arxiv.org/abs/2002.12687
License: MIT License
Hi,
We are working on a project that has similar annotation format and we'd like to annotate some of the keypoints on the model as well. Would you please to tell whether you have plan to release the annotation tool as well?
Thank you
As for the training process on the KeypointNet dataset, should I train my model for each class one by one? Or can I train it on the whole dataset?
Hi, since the class name is wordnet id and the label in annotation file is in English, is there a simple way to find the correponding annotation file for each class?
Hi Guys,
I'm rendering images for shapenet using blender, i'm unsure on how can i store the keypoint location wrt the origin of blender.
Hi. Could you please provide the full train/val/test split list? The current version only contains 3 categories. Appreciate for your contribution and kindness!
Hi. Could you please provide the install dependencies of this code? Some network models cannot run without knowing the install dependencies. Thank you very much.
Thanks for making this public!
On setting the environment, I am faced with several gcc problems, could you tell me your gcc edition : )
Hello, could you please provide all annotation files? Now there is only chair.json
Hi,
Thank you for making your work public.
I am stuck in a problem, can you please help me?
How could I reject the extra (not required) key-points especially in test time? For example, during training, I can use "-1" to exclude the extra key-points but in test scenario all (21) key-points are estimated by the model. So, how could I ignore the key-points that are not required by assuming that I don't have any info about ground truth.
Best regards,
mz
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