Comments (2)
hannamw
commented on August 20, 2024
2
Hi Lukas - yes, it looks like the negative activations are preserved now. Thanks for the quick fix!
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LukasMut
commented on August 20, 2024
Hi Michael! Thanks a lot for pointing this out! We always appreciate feedback, especially of such useful sort. I've just fixed that issue. The activations dictionary now points to a copy of output (i.e., tensor.clone().detach()) rather than to output itself (i.e., tensor.detach()). Could you confirm that the behavior you've experienced is now resolved, and that all entries of features.0 are not just non-negative reals?
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Related Issues (20)
- @andropar Please add documentation about this new feature in the `README.md` and our official docs. Looks good so far :) Default option should stay as what we have had before HOT 1
- TypeError from flatten_acts() when executing extractor.extract_features() HOT 1
- CLIP doesn't get installed properly
- further changes to the extraction pipeline
- Using pretrained weights from caffe with THINGSvision HOT 4
- Could not find a custom model HOT 5
- size mismatch error HOT 6
- Shape mismatch error while extracting layers from InceptionResNetV2 HOT 10
- Making `resize_dim` and `crop_dim` flexible arguments HOT 7
- Feature extraction for CORNet-S HOT 9
- Upgrade torch requirements HOT 1
- Fix error thrown when passing `None` as `model_parameters` for `get_extractor` HOT 1
- Tensorflow errors after import HOT 6
- Add more output options (i.e. txt, mat) HOT 3
- improve docs HOT 1
- Wrong layers (names?) when extracting all conv layers from AlexNet. HOT 4
- Feature extraction for a single image HOT 7
- small issues with CLI HOT 3
- Moving to torch 2.0 + HOT 1
- Add thingsvision.__version__ HOT 3
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