To classify data (whether this is from the camera, the microphone, or a custom sensor) you'll need a model file. -api-key - set an API key, useful for automatic authentication with a new project.-clean - clear credentials, and re-authenticate.
-disable-microphone - disable the microphone.-disable-camera - disables the camera.To collect data from other sensors you'll need to write some code where you instantiate a DataForwarder object, write data samples, and finally call finalize() which uploads the data to Edge Impulse. Your device is now connected to Edge Impulse and you can capture data from the camera and microphone. Start the CLI and follow the instructions: $ edge-impulse-linux Install the Edge Impulse CLI for Linux: $ npm install edge-impulse-linux -g -unsafe-perm Collecting data from the camera or microphone
If you want to collect data from the camera or microphone on your system you can use the Edge Impulse CLI, and if you want to collect data from different sensors (like accelerometers or proprietary control systems) you can do so in a few lines of code. Installation guideĪdd the library to your application via: $ npm install edge-impulse-linuxīefore you can classify data you'll first need to collect it. Start here to learn more and train your first model. This SDK is part of Edge Impulse where we enable developers to create the next generation of intelligent device solutions with embedded machine learning. This library lets you run machine learning models and collect sensor data on Linux machines using Node.js.
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