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Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib

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instance_segmentation

Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib

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

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

demo_1 demo_2

Classes Segmented by the model

img

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Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib

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