Craig
Craig
I am now getting a segmentation fault 11. So this is not the total fix.
Are you running on a Raspberry Pi, Windows, Linux, Mac? Miniconda install is recommended for Windows, Linux, Mac. And you have specified the picamera to run.
Did you also follow these instructions: https://docs.donkeycar.com/guide/host_pc/setup_mac/ ? Did you set DONKEY_GYM = True in myconfig.py? This replaces the Picamera setting. You do not need picamera installed for the Mac....
I found the following works: 0x13d : 'L3' 0x13e : 'R3' The codes for share and options are correct.
The current monolithic approach is geared towards beginners and those who are not python coders. The approach should initially be geared towards those who are able to take a deeper...
I apologize I pasted an older version. In this version, ``` part = part_class(**theargs) ``` Here is the complete code I am currently using below. I recommend you think about...
I would definitely like to help out in developing the code. Let know when you push the branch.
See Pull Request StopSign and Cone Detection https://github.com/autorope/donkeycar/pull/1131 I used TensorFlow Lite Object Detection with a custom cone model to implement traffic cone avoidance. It was tested with Raspberry Pi...
Have you tried running Pack Installer? Select device. Under Pack Device Specific, look for Previous. Or you can get GD32F1x0_Addon_V3.1.0.rar from http://www.gd32mcu.com/en/download/7/p/2 Use the pack installer to downgrade to 3.1.
We should install tensorflow-macos and tensorflow-metal on both Intel and Apple Silicon. I submitted a pull request with the change to setup.py. I understand if you don't need to specify...