Metadata-Version: 2.4
Name: easyml-image
Version: 0.1.0
Summary: PyTorch CNN library for image classification using folder-based datasets
Home-page: https://github.com/your-username/potato_cnn_lib
Author: B. Tharun Bala
Author-email: your_email@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary


# EasyML Library


A reusable PyTorch-based CNN library for image classification tasks.

## Features
- User-defined dataset folder
- Modular CNN architecture
- Training & evaluation utilities
- Confusion matrix visualization

## Installation
pip install potato-cnn-lib

## Usage
See example/run_training.py

