https://github.com/kasanaa/retrospectra
RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.
https://github.com/kasanaa/retrospectra
cnn cnn-keras convolutional-neural-networks digital-image-processing github-copilot learn llm machine-learning neural-networks python
Last synced: 3 months ago
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RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.
- Host: GitHub
- URL: https://github.com/kasanaa/retrospectra
- Owner: KaSaNaa
- License: apache-2.0
- Created: 2024-05-19T14:09:16.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-26T08:57:51.000Z (about 1 year ago)
- Last Synced: 2025-02-15T08:38:11.069Z (5 months ago)
- Topics: cnn, cnn-keras, convolutional-neural-networks, digital-image-processing, github-copilot, learn, llm, machine-learning, neural-networks, python
- Language: HTML
- Homepage:
- Size: 93.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## All the data/images that are used to train this model lies in this zip.
### [imageDataSet.rar](https://github.com/KaSaNaa/RetroSpectra/blob/main/imagesDataSet.rar)
# How to run
Follow these steps to set up and run the project:
1. Navigate to your project directory in the terminal.
2. Create a virtual environment:
```bash
python -m venv venv
```
3. Activate the virtual environment:
- On Windows
```bash
.\venv\Scripts\activate
```
- On Unix or MacOS
```bash
source venv/bin/activate
```
4. Install the required packages:
```bash
pip install -r requirements.txt
```
5. When you're done working in the virtual environment for the moment, you can deactivate it:
```bash
deactivate
```
6. Run the app:
```python
python app.py
```