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Hello! In your `README.md` file I see that you refer to `pretrained models for feature extraction`. Can you please tell me if there is any way to access pretrained weights and features? I am a student…
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### URL Hash
`#/sklearn/sklearn.feature_extraction._hash/FeatureHasher/__init__/n_features`
### Actual Annotation Type
`@required`
### Actual Annotation Inputs
```json5
{
"target": "sklearn…
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Hello, I noticed that you wrote "TempAgg requires per-frame features as input. TSM (8-frame input) has been used for extracting 2048-D per-frame features" in the Feature section. I would like to know …
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Thank you for sharing these very informative notebooks.
01_graph_feature_extraction.ipynb is of great interest to me and it is very well written and presented.
How would one go about applying these…
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I am currently using the VGG-LSTM model for drunk video detection, and I utilized the extracted features to get a model. However, when using my own video at 10seconds, 244x244 24fps .mp4 format, and d…
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**Is your feature request related to a problem? Please describe.**
When having copied a partial photo, feature extraction will not run on the file again, because features are already extracted for th…
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## Objective
create own tesseract model using pytesseract to improve extraction from pdf files. Compair results with basic extraction using pymudf or pypdf2
## Key Features
- [ ] own model is t…
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If I'd like to use CMG on my own dataset (for video and audio), how should I prepare the data? I've got video-audio pairs, whether should I extract their features? If yes, what feature extraction mode…
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**The problem**:
I am using the extract_features function
```
settings = MinimalFCParameters()
feat = extract_features(df_prices.iloc[0:n_day],
column_id='Id',
…
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` sample_features = get_all_features_from_sample(FILE_PATH)
File "/home/recon/monitoring/deep/fake-audio-detector/shared/feature_extraction.py", line 68, in get_all_features_from_sample
sp_…