This is the second of a planned occasional series of posts on playing with some of the current AI specific add-on processors for Intenet of Things (IoT). In the series, it is planned that some experiments with the Google Coral adapter and the Development Board; as well the NVIDIA Jetson Nano will be shown. In the previous post I started playing with the Coral Accelerator with a Raspberry Pi https://robotsandphysicalcomputing.blogspot.com/2019/08/coral-accelerator-on-raspberry-pi.html. The Coral environment is related to Google's earlier AIY Edge Tensor Processing Unit (TPU) range https://aiyprojects.withgoogle.com/edge-tpu/ and designed to work with TensorFlow Lite.
In this post, the bigger sibling the Coral Development Board or Coral Dev Board is connected to a Raspberry Pi. The Coral Dev board is a single board Linux computer in its own right, running a derivative of Debian called Mendel. The Pi (in this case I used A Raspberry Pi 2 running Raspbian) is being used as a terminal and to set-up the system in the first place. How to set it up and use it, can be found at https://coral.withgoogle.com/docs/dev-board/get-started/# - this is the best bet to follow. It was relatively easy to set up, if you follow the instructions (I made a few mistakes)and juggle having several terminals open. A few issues (probably mainly due to my lack of skill) I had during setting it up:
Apart from that it wasn't too bad.
Image below ran on the Development board and was processed with a pre-trained machine learning model to recognise a parrot.
I am going to enjoy playing with this a bit more, using Pi as terminal, once it is all set-up, seems to work.
Another good source that expands on the use of this device is https://medium.com/@aallan/hands-on-with-the-coral-dev-board-adbcc317b6af; giving more detail on the device and Python examples on using the Coral Dev board.
Related products, for the Development Board and AIY
All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon
In this post, the bigger sibling the Coral Development Board or Coral Dev Board is connected to a Raspberry Pi. The Coral Dev board is a single board Linux computer in its own right, running a derivative of Debian called Mendel. The Pi (in this case I used A Raspberry Pi 2 running Raspbian) is being used as a terminal and to set-up the system in the first place. How to set it up and use it, can be found at https://coral.withgoogle.com/docs/dev-board/get-started/# - this is the best bet to follow. It was relatively easy to set up, if you follow the instructions (I made a few mistakes)and juggle having several terminals open. A few issues (probably mainly due to my lack of skill) I had during setting it up:
- Spent while trying to set-up fastboot according to the instructions but the easiest way is sudo apt-get install fastboot
- I needed to go into root to set up the udev and driver on the pi to flash the Development board.
Apart from that it wasn't too bad.
Image below ran on the Development board and was processed with a pre-trained machine learning model to recognise a parrot.
Figure below shows 76% match to Scarlet Macaw
I am going to enjoy playing with this a bit more, using Pi as terminal, once it is all set-up, seems to work.
Another good source that expands on the use of this device is https://medium.com/@aallan/hands-on-with-the-coral-dev-board-adbcc317b6af; giving more detail on the device and Python examples on using the Coral Dev board.
Related products, for the Development Board and AIY
All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon
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