Before you start

Be sure you've followed the steps in Create Categories first.

Setting up the Raspberry Pi

First, follow the instructions in Raspberry Pi Setup. This will load the software onto the Pi.

Launch the capture script

SSH to the pi, or open a Terminal. Then, run these commands to set up the shell:

$ cd rpi-vision
$ sudo bash
# source .venv/bin/activate

Get ready to capture the first samples. Then, at the same shell, type:

# python3 tests/pitft_capture.py 
pygame 1.9.6
Hello from the pygame community. https://www.pygame.org/contribute.html

Ready. Press ENTER to toggle capture/standby. Press Ctrl+C to quit.    

Record some data

At this point, the STANDBY text indicates that the Pi is not recording data. Make sure the camera is pointed at your object, then press ENTER to toggle between STANDBY and RECORD modes.

When finished, press CTRL + C to stop the process.

Copy images to your desktop/laptop computer

Here we show you how to use either samba or scp to copy the generated tar to your desktop/laptop for use with Teachable Machine.

Using Samba

The easiest way is to setup your Raspberry Pi as a file server using Samba. Follow these steps.

Now, copy the generated tarball into your samba share:

$ cp ~/rpi_vision/<<OBJECT_NAME>>.tar /share

Using scp

On your local machine (i.e. not the raspberry pi), run:

$ scp [email protected]:~/rpi_vision/<<OBJECT_NAME>>.tar .

Be sure to change <<OBJECT_NAME>>.tar to the actual path you specified to your pitft_capture.py command above.

Upload images to Teachable Machine

Extract the tar by double-clicking it. On Windows, you may need a utility like 7-zip.

Now, in the Teachable Machine UI, follow these steps:

Repeat this process for all categories in your project.