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flatten = torch.sparse_coo_tensor(indices_non_zeros, weight_per_point, matrix_shape)
RuntimeError: size is inconsistent with indices: for dim 0, size is 2 but found index 1100320154
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Traceback (most recent call last):
File "/mnt/XXL/emotion2vec-large/scripts/extract_features.py", line 70, in
main()
File "/mnt/XXL/emotion2vec-large/scripts/extract_features.py", line 39,…
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Hi,
I want to solve the problem addressed by this issue #608 in nnunetv2 as well.
Specifically, I want to get the feature maps extracted by Encoder and cluster the training dataset in some way.
…
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Hello, I thoroughly enjoyed reading your paper, "Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering."
I am writing to ask about the code provided for the paper. I am tryi…
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Hi,
Is there a way to just load the pre-trained model and extract features for tiles stored in a folder?
Thanks!
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Hello,
I am using Vit base model creation with patch size 16, but getting an error when loading checkpoint:
Here is the vision transformer class I am using: https://github.com/facebookresearch/din…
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Hello, thanks for releasing the code of this cool paper!
I would like to try the Temporal Action Localization on my own custom data. I have generated raw_frames for each video. But I struggle to u…
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Hi.
Thank you for providing this useful feature!
My question is, is it possible to apply the feature map (.npy) extracted from I3D and check the accuracy?
The geometry extracted from I3D is as …
htowa updated
16 hours ago
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Hi and thanks for providing you're research :-)
Iam interested in extracting the "updated image features" after the feature enhancer layer.
Unfortunately I wasn't able to find the correct spot in …
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Audio features are extracted from a pretrained DeepSpeech model. However, this step is too slow. The 5 seconds wav file need to speed 10 seconds for extracting npy file.
Are there some methods can…