adafruit / rpi-vision

Tools and examples for getting started with object detection + classification tasks on Raspberry Pi, using Tensorflow 2.0 and Keras. Associated Learn Guide: https://learn.adafruit.com/running-tensorflow-lite-on-the-raspberry-pi-4

RPI Vision

Deep object detection on a Raspberry Pi using Tensorflow & Keras.

Materials

• Raspberry Pi 4
• SD card 8+ GB
• 3.5" 480 x 320 PiTFT display (https://www.adafruit.com/product/2441)

Install Dependencies (on Raspberry Pi)

Follow the guide in our Learn System https://learn.adafruit.com/running-tensorflow-lite-on-the-raspberry-pi-4

Running a trainer (GPU Accelerated)

pip install -r trainer.requirements.txt

Analyzing via Tensorboard

tensorboard --logdir gs://my-gcs-bucket/my-model/logs/

References

• Training a neural network from little data
• How to easily Detect Objects with Neural Nets
• d4, d6, d8. d10, d20 images