Facial Analysis App

The Streamlit Facial Analysis App is a simple web application that allows users to upload images and perform facial analysis on them. It utilizes popular libraries like OpenCV, DeepFace Numpy , Pillow , and Streamlit to create an easy-to-use interface for analyzing/predict the Age , Gender and Emotion of image.

Features

• Upload Your Image: Users can upload their images in common formats like JPG, PNG, and JPEG with limit 200MB file size.

• Multi-Task Analysis: The app offers multiple analysis tasks, including age estimation, gender prediction, and emotion recognition. Users can select which tasks they want to perform.

• Real-Time Analysis: The app provides real-time analysis results, making it easy to understand the attributes of the faces in the uploaded image.

Usage

• Visit the Streamlit Facial Analysis App.
• Upload your image by clicking the "Upload Your Image" button.
• Select the analysis tasks you want to perform by checking the corresponding checkboxes (Age, Gender, Emotion).
• Click the "Analyze" button to start the analysis.
• The app will display the uploaded image and the results of the selected analysis tasks.

Project Improvement

• 1st Phase (3 Jun 2023): In this phase of my project I make a project on jupyter notebook where I maually write a code on cell and provide a file path, there in no UI for my this project. Link

• 2nd Phase (22 Aug 2023): I improve my project and this time i use a tkinter for UI. But still my project is not publically available it means till 22 August 2023 deployment is not done. Link

• 3rd Phase (22 Sep 2023): I improve my project and deploy it on streamlit, still in this phase of my project i face a problem , the problem is .py file is locally run/work perfectly but after deployment it gives me an error (ImportError libGL.so.1 cannot open shared object file No such file or directory) and then after some search and teacher help i resolve this problem and then i deploy my project Facial Analysis App on streamlit app. Link

Installation

1. Clone the repository:

  git clone https://github.com/Hussainaquib/Facial-Analysis-App.git
  cd Facila-Analysis-App

2. Install the dependencies:

pip install -r requirements.txt

3. Run the app:

streamlit run face.py

Dependencies

• Streamlit
• OpenCV
• Pillow
• DeepFace

Demo

Use this web app: Link

Feedback

If you have any feedback, please reach out to me at saquib9451@gmail.com