41d49358fd | ||
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.. | ||
.gitignore | ||
INSTALL.sh | ||
README.md | ||
conf.sample.json | ||
detect_image.py | ||
package.json | ||
shinobi-tensorflow-coral.js | ||
shinobi-tensorflow.js |
README.md
TensorFlowCoral.js
Follow the Official Coral PCI install instructions carefully. https://coral.ai/docs/m2/get-started/#2-install-the-pcie-driver-and-edge-tpu-runtime
Install
Run INSTALL.sh
pm2 start shinobi-tensorflow-coral.js
Doing this will reveal options in the monitor configuration. Shinobi does not need to be restarted when a plugin is initiated or stopped.
Run the plugin as a Host
The main app (Shinobi) will be the client and the plugin will be the host. The purpose of allowing this method is so that you can use one plugin for multiple Shinobi instances. Allowing you to easily manage connections without starting multiple processes.
Edit your plugins configuration file. Set the hostPort
to be different than the listening port for camera.js
.
nano conf.json
Here is a sample of a Host configuration for the plugin.
plug
is the name of the plugin corresponding in the main configuration file.https
choose if you want to use SSL or not. Default isfalse
.hostPort
can be any available port number. Don't make this the same port number as Shinobi. Default is8082
.type
tells the main application (Shinobi) what kind of plugin it is. In this case it is a detector.
{
"plug":"Tensorflow",
"hostPort":8082,
"key":"Tensorflow123123",
"mode":"host",
"type":"detector"
}
Now modify the main configuration file located in the main directory of Shinobi.
nano conf.json
Add the plugins
array if you don't already have it. Add the following object inside the array.
"plugins":[
{
"id" : "Tensorflow",
"https" : false,
"host" : "localhost",
"port" : 8082,
"key" : "Tensorflow123123",
"mode" : "host",
"type" : "detector"
}
],