MODNet Background Remover

Application

A deep learning approach to remove background and adding new background image

• Remove background from images,videos & live webcam
• Adding new background to those images,videos & webcam footage

Demo

Before removing the background	After replacing the background with new image
Before removing the background from video	After replacing the background with new image in this video

### Web View

Before removing the background	After removing the background

## Installation ### Python Version - Python == 3.8 ### Virtual Environment #### Windows - `python -m venv venv` - `.\venv\Scripts\activate` - If any problem for scripts activation - Execute following command in administration mode - `Set-ExecutionPolicy Unrestricted -Force` - Later you can revert the change - `Set-ExecutionPolicy restricted -Force` #### Linux - `python -m venv venv` - `source venv/bin/activate` ### Library Installation - Library Install - `pip install --upgrade pip` - `pip install --upgrade setuptools` - `pip install -r requirements.txt` - To run in **web interface** - `pip install -r web_requirements.txt` ### Pretrained Weights Download - [Weights Detail](pretrained/README.md) ## Inference ### Image #### Single image It will generate the output file in **output/** folder - `python inference.py --image image_path` **[Without background image]** - `python inference.py --image image_path --background True` **[With background image]** - Example: - `python inference.py --image assets/sample_image/female.jpeg` - `python inference.py --image assets/sample_image/male.jpeg --background True` #### Folder of images It will generate the output file in **output/** folder - `python inference.py --folder folder_path` **[Without background image]** - `python inference.py --folder folder_path --background True` **[With background image]** - Example: - `python inference.py --folder assets/sample_image/` - `python inference.py --folder assets/sample_image/ --background True` ### Video It will generate the output file in **output/** folder - `python inference.py --video video_path` **[Without background image]** - `python inference.py --video video_path --background True` **[With background image]** - Example: - `python inference.py --video assets/sample_video/sample.mp4` - `python inference.py --video assets/sample_video/sample.mp4 --background True` ### Webcam - `python inference.py --webcam True` **[Without background image]** - `python inference.py --webcam True --background True` **[With background image]** ### Webinterface - `python api.py` - Click on this [link/localhost](http://127.0.0.1:8000) - Upload the image and wait ## Reference - [A Trimap-Free Solution for Portrait Matting in Real Time under Changing Scenes](https://github.com/ZHKKKe/MODNet) - Sample Female photo by Michael Dam on Unsplash - Sample Male photo by Erik Lucatero on Unsplash