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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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# Dataset Card for Letter Vibration Interference Video Data
## Dataset Description
- **Homepage: https://huggingface.co/datasets/TWTom/Letter_Vibration_Interference_Video_Dataset**
- **Paper:**
- **Point of Contact: Lee, Po Han [email protected]**
### Dataset Summary
This dataset is collected using a 1920x1080 camera running at 60fps. It records the interference pattern generated by a Michelson Interferometer. The Interferometer is very sensitive to vibration, so while different vibration modes are performed, unique inference patterns are shown. We introduce vibration to the system by hand writing letters on the table which the interferometer is set up on.
## Additional Information
### File Description
- `logs`:
- `ckpt`:
- `models`:
- `clips`:
- `lzma_compressed`:
- `tflite_model`: tflite model of lstm-attention
- `__pycache__`: just ignore it
- `Untitled.ipynb`:
- `transformer_model.ipynb`:
- `Y.p`:
- `data_lz4_RT_TF.p`:
- `laser_transformer_TF.ipynb`:
- `laser_lstm.ipynb`:
- `module.py`:
- `.gitattributes`:
- `.ipynb_checkpoints`:
- `requirements.txt`:
- `model.h5`:
- `convert_to_tflite.ipynb`:
- `main.py`:
- `model.png`: Architecture of the model
- `vivit.py`: No usage
- `distilled_model_88.h5`:
- `saved_model.pth`:
- `distilled_model.h5`:
- `data_lz4_Y_NP.p`:
- `data_x_1D.p`:
- `data_y_1D.p`:
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
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