thejaswin123 / Face-Studio

Face Studio WebApp that gives multiple feature to user to color their lips, hairs and combined mix on giving image as input to the model.

Face-Studio

A streamlit app which uses Instance Segmentation for Coloring Lips and Hair

Features

• Lip Coloring
  
• Hair Coloring
  
• Eyeliner
  

Output

Lip Coloring

Hair Coloring

Eyeliner

Installation

Python 3

• Clone the repo using git clone <repo_url> (Note: GitBash should be installed in your system)
• Create a virtual environment(using pip or anaconda) with python=3.6.13
• Activate your environment
• Install Cmake and Dlib seperately (More information given in notes)
• Install the requirements.txt using pip install -r requirements.txt
• Now from the CLI(Command Line Interface), navigate to the cloned folder
• Enter streamlit run app.py in CLI to play with the webapp

Docker

• Install Docker Desktop and configure it for your OS as per instruction on Docker Web Page.
• To build the image,
  docker build -t <APP-NAME>:latest .
• To run the docker image,
  docker run -p 8501:8501 <APP-NAME>:latest
• If browser is not opening, Open Docker Desktop, You can see a container running with your <APP-NAME>. Click on Open in Browser option present with the container.

Deployment

Click Here to view the deployment.

Notes

Python 3

• If you have trouble installing dlib, Click Here for a comprehensive installation guide.
• If your OS is Windows, then install Visual Studio Installer and in it
  Installed > Visual Studio Community > Modify > Desktop Development with C++ > C++ Cmake tools for Windows
  and install it. Then proceed to the installation instructions.
• In case you get an error installing dlib after the above step, try to install the packages in requirements.txt one by one with giving cmake precedence to dlib.

Docker

• <APP-NAME> is the name of the app you are going to give to the docker image being built and the same app name is used for running the container.