how using yolov5 with donkeycar ?

mohamedesmael10 commented 1 year ago

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how using yolov5 with donkeycar ? I'm trying to use yolov5 to detect a stop sign and send a command to the car to stop

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github-actions[bot] commented 1 year ago

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glenn-jocher commented 1 year ago

@mohamedesmael10 hi there!

To use YOLOv5 with Donkeycar, you can follow these steps:

Install Donkeycar by following the instructions in the Donkeycar documentation.
Once you have Donkeycar set up, you can integrate YOLOv5 into the Donkeycar pipeline. You will need to modify the manage.py script in the Donkeycar codebase to include YOLOv5 object detection.
In the modified manage.py script, you'll need to add code to load the YOLOv5 model and use it to detect the stop sign. You can then send a command to the car to stop based on the detection result.

Please note that integrating YOLOv5 with Donkeycar can be a complex task, so you may need to refer to the specific documentation and codebase of Donkeycar for more detailed guidance on how to modify the manage.py script and include YOLOv5.

I hope this helps, and good luck with your project! Let me know if you have any further questions.

Ezward commented 1 year ago

Donkeycar does have a Stop Sign Detector, but currently uses Mobilenet V2 but requires a Google Coral TPU. There is an issue to address this https://github.com/autorope/donkeycar/issues/953.

This is the source code to the Donkeycar 'part' stop_sign_detector.py and here is where it is integrated into the vehicle pipeline complete.py. Here is some high level documentation that describes the donkeycar architecture: parts. You can use that implementation as a starting point for your own.

glenn-jocher commented 1 year ago

Hi @Ezward! Thank you for sharing the information and providing the links to the relevant code and documentation in the Donkeycar repository.

Based on the provided links, it seems that Donkeycar already has a Stop Sign Detector implemented using MobileNet V2 and requires a Google Coral TPU. You mentioned that there is an open issue to address this (https://github.com/autorope/donkeycar/issues/953).

To utilize YOLOv5 with Donkeycar, you can start by referring to the existing implementation of the Stop Sign Detector in Donkeycar and use it as a starting point. You can modify the code to use YOLOv5 instead of MobileNet V2 for object detection. Make sure to follow the Donkeycar architecture and integrate your modified code into the vehicle pipeline.

If you need further assistance or have specific questions about integrating YOLOv5 with Donkeycar, feel free to ask. Good luck with your project!

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