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A tensorflow API implementation for detecting shuttlecocks - ROBOCON

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shuttle

The above code is written in Python.

A tensorflow API implementation for detecting shuttle cocks - ROBOCON

Description: This project is inspired by the Robocon competition. The task for the robot is to play a game of badmintion. This program will detect shuttlecocks by making use of the tensorflow API. The repo consists of a small dataset for the same.

Required Libraries/ Pre-requisites::

* Please follow this fantastic guide: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

Where the files belong:

1. labelmap.pbtxt belongs in the training folder.
2. train.record and test.record belongs in the object_detection folder.
3. images folder belongs inside the object_detection folder.
4. move the csv files into the images folder

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