An example of deep object detection and tracking with a Raspberry Pi, PiCamera, and Pimoroni Pantilt Hat
Project description
# Raspberry Pi Deep PanTilt
[![image](https://img.shields.io/pypi/v/rpi_deep_pantilt.svg)](https://pypi.python.org/pypi/rpi_deep_pantilt)
[![Documentation Status](https://readthedocs.org/projects/rpi-deep-pantilt/badge/?version=latest)](https://rpi-deep-pantilt.readthedocs.io/en/latest/?badge=latest)
# Build List
[Raspberry Pi 4 (4GB recommended)](https://www.raspberrypi.org/products/raspberry-pi-4-model-b/)
[Raspberry Pi Camera V2](https://www.raspberrypi.org/products/camera-module-v2/)
[Pimoroni Pan-tilt Kit](https://shop.pimoroni.com/products/pan-tilt-hat?variant=22408353287)
Micro SD card 16+ GB
Micro HDMI Cable
[12” CSI/DSI ribbon for Raspberry Pi Camera](https://www.adafruit.com/product/1648) (optional, but highly recommended)
[Coral Edge TPU USB Accelerator](https://coral.withgoogle.com/products/accelerator) (optional)
[RGB NeoPixel Stick](https://www.adafruit.com/product/1426) (optional, makes lighting conditions more consistent)
An example of deep object detection and tracking with a Raspberry Pi
Free software: MIT license
Documentation: <https://rpi-deep-pantilt.readthedocs.io>.
# Basic Setup
Before you get started, you should have an up-to-date installation of Raspbian 10 (Buster) running on your Raspberry Pi. You’ll also need to configure SSH access into your Pi.
[Install Raspbian](https://www.raspberrypi.org/documentation/installation/installing-images/README.md)
[Configure WiFi](https://www.raspberrypi.org/forums/viewtopic.php?t=191252)
[Configure SSH Access](https://www.raspberrypi.org/documentation/remote-access/ssh/)
# Installation
` pip install rpi-deep-pantilt `
# Usage
@ todo
# Credits
This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage) project template.
# History
## 1.0.0 (2019-12-01)
First release on PyPI.
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