vineethm1627 / semantic_segmentation

deeplabv3+ model trained on pascal voc dataset for Semantic Image Segmentation using PixelLib

Semantic Image Segmentation

deeplabv3+ trained on pascal voc dataset for Semantic Image Segmentation using PixelLib

Here, Different instances of the same object are segmented with the same color map.

Steps to run the Web Application

1. Clone this repository
2. Download the weights file if not present view make sure it is kept in the current root directory.
3. Open a terminal and type pip install -r requirements.txt to install the dependencies.
4. To deploy the webapp simple type streamlit run app.py and wait for the webapp to open in the browser.
5. If the webapp doesn't open by default, keeping the terminal open, in the browser search localhost:8501/

You can now see the website up and running.

Demo Snapshots

Classes Segmented by the model