Comments (2)
Thank you Bram for bringing this up.
To this point it is not necessary to put your pose-estimation.csv file into the videos/pose-estimation folder. This was for an automatic alignment from global to egocentric virtual marker coordinates which is currently not implemented.
I will take this note out of the demo.py file. This should resolve this issue.
Cheers,
Kevin
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Okay, thank you.
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Related Issues (20)
- Error in pose segmentation HOT 3
- vame clustering applied to multiple animals or videos HOT 3
- VAME to multiple videos across conditions. HOT 3
- Error occurred when set 'check_video = True' in the egocentric part
- vame.train_model() error- UnboundLocalError
- Evaluate model error: "AttributeError: '_SingleProcessDataLoaderIter' object has no attribute 'next'" HOT 7
- Missing clusters in resulting npy-files HOT 4
- Colab training issue HOT 4
- "check_video=True" throws error HOT 1
- csv_to_numpy() got an unexpected keyword argument 'datapath' HOT 4
- ModuleNotFoundError: No module named 'hmmlearn' HOT 3
- vame.egocentric_alignment - array of sample points is empty HOT 1
- Not finding results npy file HOT 4
- Making VAME compatible with SLEAP? HOT 6
- Motif Video generation HOT 1
- spread out Latent space HOT 1
- a patch to speed up data processing HOT 1
- vame.community() fail when transition_matrix is 0 in some pairs.
- Issue with GIF function HOT 2
- Resume training from pre-trained model
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