Comments (10)
Those codes are quite messy now. If you need them, I'll release the code for data generation once I get a chance to clean it up.
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Those codes are quite messy now. If you need them, I'll release the code for data generation once I get a chance to clean it up.
Yes, I need. I would be very grateful if you could release them!
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I see, I'll work on it when I have time.
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Hello, we want to make a dataset and input it into your network for experiment. Before you publish the data pre-processing process, I learned about the content of shape2motion dataset. In the process, I have some problems and hope to get your help. Firstly, I use np.shape() outputs the dimension of data ["start_occ_list"], and the result is (n, 100000). I think n represents the number of parts of the object, but what does the data 1000000 represent? Secondly, what is the content of data[start_p_occ]? Thank you very much for your help!
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That's the number of occupancy point samples. "start_p_occ" is the query points for occupancy at the start frame (before interaction). "start_occ_list" is the corresponding list of occupancy results for each part.
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Hi! I really appreciate your patience in answering my questions. I learned from the paper—— "the ground_truth occupancy is queried from the ground truth mesh", but I'm wondering how did you get the ground truth mesh of the object before and after the interaction?
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Hi, we get ground truth through API in Pybullet
, like here.
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Hi, are the pc_seg_start and pc_seg_end also queried from mesh? Can you share the code about segmentation? In addition, how to get the screw_axis and the screw_moment? Thank you very much, you really helped me a lot!
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Hi there, I finished cleaning up the data generation code and released it here. You can refer to the code here for more details.
pc_seg_start and pc_seg_end were not used in Ditto. screw_axis and screw_moment are from Pybullet.
from ditto.
Hi there, I finished cleaning up the data generation code and released it here. You can refer to the code here for more details.
pc_seg_start and pc_seg_end were not used in Ditto. screw_axis and screw_moment are from Pybullet.
Your release is very timely. Thank you very much!
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Related Issues (12)
- The results of testing on the pre-trained model HOT 4
- Different visualization result in demo_depth_map.ipynb HOT 2
- How to visualize the test results of shape2motion dataset? HOT 4
- What are the data contained in the camera2base.json file? HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: HOT 12
- No such file or directory: '../data/Ditto_s2m.ckpt' HOT 1
- What's the meaning of 'recenter' when inferencing the pivot point HOT 2
- R the models in the canonical object space? HOT 3
- Where do you save the digital twins? HOT 4
- The utils3d is missing
- How can I use mesh files with urdf files to make my dataset? HOT 1
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