Comments (5)
When would you need multiple profiles on a single vehicle? Also, you should join our slack channel to discuss and share your builds. Enter your email here and I'll add you: http://donkeycar.weebly.com/
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Thanks, I've sent a request.
The case I was facing was that of having two vehicles and changing the SD card between them. One had different servo/motor settings so I believe multiple configs can be helpful in such cases.
But I imagine this could also go another way: Offering different stock configuration files for different vehicle models (e.g. different rc car models) and types (diff steering, normal steering), can open Donkey to a wider audience (e.g. people who already have different models of rc cars/vehicles).
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This should be done with an optional argument "--config" that can specify a different config file. The diff drive does not yet use config files.
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I've added --config parsing and a couple of vehicle configs based on the google doc manual in the following commit:
https://github.com/yconst/donkey/commit/5fb192c443eb0b43ea6d37134cb0a800bc263ff8
I did not create a pull request because this commit also includes the changes to start-server.sh, part of another mr. Once that mr is resolved, I'm going to add one for this too.
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This has been merged to dev. Closing
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Related Issues (20)
- Car not turning on when running python manage.py drive HOT 24
- Release testing for Donkeycar 5.0.dev3 HOT 23
- Support 'shifting' when training a model
- Overwritting the data and mode inputs and outputs
- [Question] Deploying Stable Baselines 3 PPO-Trained Model on Jetson Nano for Real-Time Execution
- tensorflow-2.9.0-cp39-none-linux_aarch64.whl is not a supported wheel on this platform HOT 13
- JETSON ORIN NANO JETPACK5.1.2 When I use python3 manage.py drive is error OSError: [Errno 16] Device or resource busy HOT 6
- Accelerate tensorflow on Mac HOT 6
- donkey createcar --path ~/mycar using donkey v3.1.0 ... Illegal instruction (core dumped) HOT 2
- ig -a HOT 1
- error: (-215) scn == 3 || scn == 4 in function cvtColor (JP=4.5.1)(DC=4.2.1) HOT 8
- Colab training is not accelerated because tensorflow 2.9 is forced to be installed with the [pc] option HOT 1
- VESC part hangs on creation HOT 3
- conda / pip issue with setuptools HOT 3
- Suggested enhancements to Ezward's DC path_follow.py template
- Recursion error for opening donkey ui HOT 12
- Autopilot HOT 1
- atest ui_updated pr.
- I2C messages are sent too close to each other HOT 4
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