Flask_Face_detection

1. Preparation

1.1 Quick Start

Just Complete the five steps to launch the Flask App.

1. Download the project locally by clonning or in a zip format.

2. Donwload the Emotion prediction model .h5 file and copy its path.

   2.1 go to the directory

   cd Flask_Face_detection
   

   2.2 go to the directory

   cd "Face and Emotion prediction"
   

3. Create a new virtual environment or proceed it in your current environment by running

   3.1 For Creating virtual environment

    1. First install virtualenv
    
    --> pip install virtualenv
    
    2. Create a virtual environment.
    
    --> virtualenv my_env
    
    3. Now activate the environment by going to ./my_env/Scripts
   
    --> activate
   

   3.2 For installing dependicies

    Now after returning to the original directory which is Face and Emotion prediction.
    Run the below command
    
    --> pip install -r requirements.txt
   

4. After installing dependencies and replacing the path in app.py file for loading the model file.

5. For running the webpage, execute the following.

python app.py

Samples:

1. Home Page

2. Prediction Page.

3. Checking working of Camera Feed

Note: My Model is customised for returning values like confidence score for Image which was trained on EMOTIC dataset with custom modifications and now that models are used in this.

If u want the steps to run the particular page it will be given in "Steps" folder with each and every steps recorded.