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Tools and examples for getting started with object detection + classification tasks on Raspberry Pi, using Tensorflow 2.0 and Keras. READ ME FIRST: https://medium.com/@grepLeigh/portable-computer-vis...

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https://medium.com/@grepLeigh/portable-computer-vision-accelerating-tensorflow-lite-with-edge-tpus-on-a-raspberry-pi-84e318798ce9

- [x] Deploy Tensorflow model - [x] Convert model to Tensorflow Lite - [ ] Compile 8-bit quantized model for Edge TPU acceleration

- [ ] Add 1 additional classifier - [ ] Re-train locally or via GCP AI Platform - [ ] Repeat deploy steps in https://github.com/leigh-johnson/rpi-vision/issues/5

As an rpi-vision user, I want to perform the following tasks from my computer running OS X or Debian-derived Linux: * Train new models locally or on Google Cloud's AI...

### System dependencies ``` sudo apt-get update && \ sudo apt-get upgrade && \ sudo apt-get install git python3-dev python3-pip \ crossbuild-essential-armhf libatlas-base-dev \ libhdf5-dev libhdf5-serial-dev \ libopenjp2-7-dev ibtiff5 build-essential...