This will downgrade node-red-contrib-tensorflow to version 0.2.2, which resolves this issue. Open the Palette within the User Settings by hitting Alt-Shift-P. To begin performing predictions using a pre-trained TensorFlow.js model with Node-RED, the following modules are needed. Predictions Using a Pre-Trained TensorFlow.js Model with Node-RED Install the Necessary Packages for the Flow With this step, we are now able to begin integrating TensorFlow model predictions and visualization with Node-RED. You can access the server with your browser using the following URL. Within the command prompt, enter a simple `node-red`, and hit enter to create a Node-RED server running in your localhost at port 1880. Now that you have Node.js and Node-RED both installed, you can begin running Node-RED. If you are using Windows, do not start the command with sudo.Īlternative methods such as installing with Docker or Snap can be obtained here. ```sudo npm install -g –unsafe-perm node-red``` To install Node-RED using Mac or Linux, you can use the npm command that comes with node.js, as such: It is recommended that you install the latest version of Node.js, but the subsequent pipeline should work if you have a Node.js version of greater than 16.0.0. Head over to the Node.js website, and depending on your operating system, download and install Node.js for your computer. Getting Started Download and Install Node.js By installing several open-source Node-RED repositories, we will be able to create a simple Node-RED flow that loads a TF.js object detection model, perform predictions with this model, and visualise the results. TensorFlow is a cornerstone and industry leader for open source machine learning libraries.To allow for more wide-spread usage, TensorFlow supports model deployment in JavaScript environments such as Node-RED with TensorFlow.js. Due to its small size, Node-RED can be deployed on miniscule hardware such as the Raspberry Pi. Due to its flexibility and ease of use, Node-RED is ideally suited for building Home control dashboards and automations, as well as industrial IOT networks, such as Siemens Industrial Edge. This tool is very useful for users with little to no coding experience, who would like to deploy applications with minimal coding required. Node-RED is a low code programming tool that is built on Node.js, that uses a drag-and-drop style interface to create event-driven applications that work either locally, on edge devices or in the cloud.
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