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Tools to help train for the Donkey Car machine learning racing

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Tools to help train the donkey car models.

ip_beacon: a program that broadcasts the presence of a node on a network for easy finding. It can also browse for said nodes on the local network.

teensy_rc_control: a sketch for the Arduino IDE with the Teensyduino package installed, to control a gas-and-steering robot based on received RC commands and communication with a USB host (such as a Raspberry Pi or NVIDIA Jetson.)

mktraining: generates a synthetic set of images similar to what a rpi camera might capture. horizontal FOV 60 degrees; resolution 320x240; random confetti on the floor for each image. Libraries needed to build: GLFW and GLEW.

blur: blur a PNG image based on a mask given in another PNG image.

teensy_32_carrier: KiCad design files for the servo and receiver I/O board for the Teensy 3.2 microcontroller. Known flaws in revision 1.0:

  • Doesn't connect to Raspbery Pi "hat" port
  • Doesn't have enough I/Os to read BLDC motor sensors

All of these tools also want "stb" to be a checkout of github.com/nothings/stb as a peer to these directories.

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