Google Coral USB Accelerator
Oct 11 2020 - 3 min read
We will follow the getting started documentation: Get started with the USB Accelerator
Installing the Google Coral Edge TPU software
Check your running Ubuntu version:
moore@neuralux:~$ sudo lsb_release -a
LSB Version: core-9.20170808ubuntu1-noarch:printing-9.20170808ubuntu1-noarch:security-9.20170808ubuntu1-noarch
Distributor ID: Ubuntu
Description: Ubuntu 18.04.3 LTS
Release: 18.04
Codename: bionic
First update your Ubuntu system:
moore@neuralux:~$ sudo apt update
[sudo] password for moore:
Hit:1 http://fr.archive.ubuntu.com/ubuntu bionic InRelease
Hit:2 http://fr.archive.ubuntu.com/ubuntu bionic-updates InRelease
Hit:3 http://fr.archive.ubuntu.com/ubuntu bionic-backports InRelease
Get:4 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]
Get:5 http://security.ubuntu.com/ubuntu bionic-security/main amd64 DEP-11 Metadata [22.7 kB]
Get:6 http://security.ubuntu.com/ubuntu bionic-security/main DEP-11 48x48 Icons [10.4 kB]
Get:7 http://security.ubuntu.com/ubuntu bionic-security/main DEP-11 64x64 Icons [31.7 kB]
Get:8 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 DEP-11 Metadata [42.1 kB]
Get:9 http://security.ubuntu.com/ubuntu bionic-security/universe DEP-11 48x48 Icons [16.4 kB]
Get:10 http://security.ubuntu.com/ubuntu bionic-security/universe DEP-11 64x64 Icons [111 kB]
Get:11 http://security.ubuntu.com/ubuntu bionic-security/multiverse amd64 DEP-11 Metadata [2,464 B]
Fetched 326 kB in 1s (428 kB/s)
Reading package lists... Done
Building dependency tree
Reading state information... Done
All packages are up to date.
Download the Edge TPU runtime and Python library:
moore@ubuntux:~$ mkdir src
moore@ubuntux:~$ cd src/
moore@ubuntux:~/src$ wget https://dl.google.com/coral/edgetpu_api/edgetpu_api_latest.tar.gz -O edgetpu_api.tar.gz --trust-server-names
moore@neuralux:~/src$ ls -lah edgetpu_api.tar.gz
-rw-rw-r-- 1 moore moore 4.9M Jul 23 22:13 edgetpu_api.tar.gz
Extract the archive:
moore@neuralux:~/src$ tar xvzf edgetpu_api.tar.gz
edgetpu_api/
edgetpu_api/uninstall.sh
edgetpu_api/99-edgetpu-accelerator.rules
edgetpu_api/edgetpu-2.11.1-py3-none-any.whl
edgetpu_api/libedgetpu/
edgetpu_api/libedgetpu/libedgetpu_arm32_throttled.so
edgetpu_api/libedgetpu/libedgetpu_arm32.so
edgetpu_api/libedgetpu/libedgetpu_arm64.so
edgetpu_api/libedgetpu/libedgetpu_arm64_throttled.so
edgetpu_api/libedgetpu/libedgetpu_x86_64_throttled.so
edgetpu_api/libedgetpu/libedgetpu_x86_64.so
edgetpu_api/install.sh
Warning from Google, during installation, you’ll be asked, “Would you like to enable the maximum operating frequency?” Enabling this option improves the the inferencing speed but it also causes the USB Accelerator to become very hot to the touch during operation and might cause burn injuries.
Install the Edge TPU runtime and Python library:
moore@neuralux:~/src$ sudo edgetpu_api/install.sh
Recognized as Linux on x86_64.
Warning: During normal operation, the Edge TPU Accelerator may heat up, depending
on the computation workloads and operating frequency. Touching the metal part of the
device after it has been operating for an extended period of time may lead to discomfort
and/or skin burns. As such, when running at the default operating frequency, the device is
intended to safely operate at an ambient temperature of 35C or less. Or when running at
the maximum operating frequency, it should be operated at an ambient temperature of
25C or less.
Google does not accept any responsibility for any loss or damage if the device is operated
outside of the recommended ambient temperature range.
.............................................................
Would you like to enable the maximum operating frequency? Y/N
Y
...
Done.
Installing device rule file [/etc/udev/rules.d/99-edgetpu-accelerator.rules]...
Done.
Installing Edge TPU runtime library [/usr/lib/x86_64-linux-gnu/libedgetpu.so.1.0]...
Done.
Installing Edge TPU Python API...
The directory '/home/moore/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
The directory '/home/moore/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Processing ./edgetpu_api/edgetpu-2.11.1-py3-none-any.whl
Installing collected packages: edgetpu
Successfully installed edgetpu-2.11.1
Done.
Plug your USB Google Coral, check if you can find it:
moore@neuralux:~$ lsusb | grep Unichip
Bus 001 Device 003: ID 1a6e:089a Global Unichip Corp.
Run a model on the Edge TPU
Download the bird classifier model, labels file, and photo:
moore@neuralux:~/src$ wget https://dl.google.com/coral/canned_models/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \
https://dl.google.com/coral/canned_models/inat_bird_labels.txt \
https://coral.withgoogle.com/static/docs/images/parrot.jpg
Check lib installed:
moore@neuralux:~/src$ cd /usr/local/lib/python3.6/dist-packages/edgetpu/demo
moore@neuralux:/usr/local/lib/python3.6/dist-packages/edgetpu/demo$ ls
backprop_last_layer.py classify_capture.py object_detection.py two_models_inference.py
classification_transfer_learning.py classify_image.py __pycache__
Launch the classifier:
python3 classify_image.py \
--model /home/moore/src/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \
--label /home/moore/src/inat_bird_labels.txt \
--image /home/moore/src/parrot.jpg
Success, we can find the Parrot \o/
moore@neuralux:/usr/local/lib/python3.6/dist-packages/edgetpu/demo$ python3 classify_image.py \
> --model /home/moore/src/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \
> --label /home/moore/src/inat_bird_labels.txt \
> --image /home/moore/src/parrot.jpg
INFO: Initialized TensorFlow Lite runtime.
---------------------------
Ara macao (Scarlet Macaw)
Score : 0.761719