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ROSRoadSignDetection

This Repository is used for our Road Sign Detection implementation in ROS running on a TurleBot3 with a Raspberry Camera.

Implementations

In Ansatz_1 we tried an Approach with Keras which was trained with the GTRSB Database.

In Ansatz_2 we used transfer learning from a pre-trained SSD MobileNet with a Dataset composed of Images from Google and images we made ourself. There you can find create_tfrec.txt where the training of the Roadsign Detection is described with the used commands.

In the anaconda_dependencies.txt you can find the commands to install the needed dependencies.

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This Repository is used for our Road Sign Detection implementation in ROS

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