https://github.com/pandaiscodingcpu/digireg
A classification model to read handwritten digits.
https://github.com/pandaiscodingcpu/digireg
Last synced: about 1 month ago
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A classification model to read handwritten digits.
- Host: GitHub
- URL: https://github.com/pandaiscodingcpu/digireg
- Owner: pandaiscodingcpu
- Created: 2025-04-27T10:07:48.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-08-15T10:18:39.000Z (8 months ago)
- Last Synced: 2025-08-31T22:37:32.062Z (7 months ago)
- Language: Jupyter Notebook
- Size: 219 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# DigiReg
A machine learning model for classifying handwritten digits.
## Model Download
Due to GitHub’s file size limit (100 MB), the trained model is hosted externally on Hugging Face.
You can download it here: [**DigiReg Model (.pkl)**](https://huggingface.co/afippkrbfofpv/DigiReg/resolve/main/Digi_reg.pkl)
> **Note:** Download the file and place it in the project root directory before running the application.
# Files
- `DigiReg.py` This is the main python file, you can run this file for the execution of the Classifier.
- `DigiReg.ipynb` This is the jupyter notebook which contains the model source code and all evalualtion result.
> **NOTE:** You first need to download the model then run the python file.
# Libraries
`joblib` : This library is used to save/load ML models, latest version is 1.5.1, `pip install joblib` for installation.
`opencv` : OpenCV library for live camera feed, latest version is 4.12.0, `pip install opencv` for installation.
## Author
**Archit Vaishnav**