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End to End object detection project using SSD, and serving it as REST API using Flask framework

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R-aryan/Chess_Piece_Detection_Using_SSD

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Chess Piece Detection Using SSD

Steps to run the application

Setting up virtual environment.

pip install -r requirements.txt

python app.py

  • After running the app.py the web app can be accessed at http://127.0.0.1:8000/ copy this url and paste it in your browser.
  • The UI will look like the following.

Sample UI

  • The picture can be uploaded using the upload button and after uploading the image click on predict to perform inference.
  • Sample Input

Sample Input

  • Sample Output

Sample output

  • The application logs can also be found here.

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End to End object detection project using SSD, and serving it as REST API using Flask framework

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