Metadata-Version: 2.4
Name: ugvnet-model
Version: 1.0.4
Summary: UgvNet01: Deep Learning Model for Skin Disease Detection
Author: Onik Howlader
Author-email: mdtahsanislamonik6@gmail.com
Keywords: deep-learning,pytorch,skin-disease,medical-ai,computer-vision,ugvnet
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: torch>=2.0.0
Requires-Dist: torchvision>=0.15.0
Requires-Dist: pillow>=9.0.0
Requires-Dist: huggingface_hub>=0.20.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: keywords
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# UgvNet01

UgvNet01 is a lightweight PyTorch-based deep learning model for skin disease classification.

## Supported Diseases

- Atopic Dermatitis (AD)
- Contact Dermatitis (CD)
- Eczema (EC)
- Scabies (SC)
- Seborrheic Dermatitis (SD)
- Tinea Corporis (TC)

## Installation

```bash
pip install ugvnet-model
```

## Load Pre-trained Model

```python
from ugvnet import UgvNet01

model = UgvNet01(pretrained=True)
model.eval()
```

## Prediction

```python
from ugvnet.model import predict

result = predict("sample.jpg")

print(result)
```

Example output:

```text
🩺 Disease: Eczema (EC)
🎯 Confidence: 98.76%
```

## Requirements

- Python >= 3.8
- PyTorch
- TorchVision
- Pillow

Project description
Supported diseases
Installation
Quick Start
Prediction Example
Requirements
License
