https://github.com/islam-hady9/image-classifier-gui-app
Simple Machine Learning GUI App with Taipy and Tensorflow
https://github.com/islam-hady9/image-classifier-gui-app
cnn deep-learning imageclassification machine-learning python taipy-gui tensorflow
Last synced: about 2 months ago
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Simple Machine Learning GUI App with Taipy and Tensorflow
- Host: GitHub
- URL: https://github.com/islam-hady9/image-classifier-gui-app
- Owner: Islam-hady9
- Created: 2024-07-18T17:13:54.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-20T23:01:37.000Z (almost 2 years ago)
- Last Synced: 2025-01-01T09:26:22.112Z (over 1 year ago)
- Topics: cnn, deep-learning, imageclassification, machine-learning, python, taipy-gui, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 61.8 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Image Classifier GUI App
Simple Machine Learning GUI App with Taipy and Tensorflow
---
## Overview
This project is a simple Machine Learning GUI application built with Taipy and TensorFlow. It allows users to classify images using a trained neural network model through a graphical interface.
## Features
- **GUI Interface**: User-friendly interface created with Taipy.
- **Image Classification**: Classifies images based on a pre-trained TensorFlow model.
- **Demo Images**: Includes a set of demo images for testing.
- **Model Handling**: Easily load and use the trained model.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/Islam-hady9/image-classifier-gui-app.git
```
2. Navigate to the project directory:
```bash
cd image-classifier-gui-app
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
1. Run the application:
```bash
python classifier.py
```
2. Use the GUI to upload and classify images.
## Requirements
- Python 3.x
- TensorFlow
- Taipy
## Files
- `classifier.py`: Main application script.
- `requirements.txt`: List of dependencies.
- `model/`: Directory containing the trained model.
- `demo_images/`: Directory containing demo images for testing.
## Contributions
Contributions are welcome. Please fork the repository and create a pull request.
## License
This project is licensed under the MIT License.
## Contact
For any inquiries or issues, please open an issue on the repository.