monkrus / emotion_analyzer

Analyze the emotions of the person based on the image or video

Emotion_analyzer is a collection of various approaches to recognize human emotions

pip install google-generativeai pillow opencv-python time

Analyze the emotions of the person based on the image or video (image and video analyzer).

1. Upload image or video to colab

Analyze the emotions of the person in live webcam session. (webcam analyzer)

1. Emotion analyzer.ipynb is for image/video analysis
2. webcam1.py is initial approach to analyze real-time emotions during the live webcam session
3. webcam3.py is the most succesful version as of right now
4. webcam4.py is the playground/testing arena

An example of basic fastapi react setup, no face analisys here! (fastapi react basic setup)

• BACKEND (FastAPI)

1. Install FastAPI and Uvicorn pip install fastapi uvicorn
2. Add CORS middleware
3. Run the FastAPI Server uvicorn main:app --reload
4. Test the endpoint by opening http://127.0.0.1:8000/message in your browser.

• FRONTEND (React)

1. Create React App npx create-react-app my-react-app
2. Install Axios npm install axios
3. Create a Component to Fetch Data (MessageComponent.js)
4. Update App.js
5. Start the React App npm start
6. Open a browser and navigate to http://localhost:3000.

An example of fastapi react setup using Micorsoft Azure Face resource

pip install fastapi uvicorn aiohttp

Follow the backend and frontend steps in the previous example.