Chokkhu
Chokkhu is a production-ready deep learning image classification framework built on top of TensorFlow / Keras.
It is designed for students, researchers, and practitioners who want a clean, extensible, and well-tested API for computer vision tasks such as transfer learning–based image classification.
The package follows industry-grade Python packaging standards, supports CI/CD pipelines, and is fully compatible with Google Colab and Jupyter Notebook environments.
✨ Features
- Transfer learning–based image classification
- Modern CNN architectures (starting with ConvNeXt-Tiny)
- Image Exploratory Data Analysis (EDA) utilities
- Clean, modular, and extensible project structure
- Fully tested with unit and integration tests
- Compatible with
tox,pytest,flake8,black,isort, andmypy - PyPI-ready packaging with GitHub Actions CI support
📦 Installation
Install from PyPI
pip install chokkhu
Metadata
Release files for chokkhu 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chokkhu-0.0.3.tar.gz | 4.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chokkhu-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / chokkhu-0.0.3.tar.gz
| Download URL | chokkhu-0.0.3.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / chokkhu-0.0.3-py3-none-any.whl
| Download URL | chokkhu-0.0.3-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/6.1.0 CPython/3.13.7
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