Eiq software. The eIQ Toolkit enables graph-level profiling capabilities with runtime insights to optimize neural network architectures for execution on EdgeVerseTM processors. MX 8 processing platforms, we’ve significantly expanded our eIQ software environment to include new eIQ Toolkit workflow tools, GUI-based eIQ Portal development environment and the DeepViewRT ™ inference engine optimized for i. MX RT1060 The eIQ inference with TensorFlow™ Lite for Microcontrollers (TF Micro) is optimized for running machine learning models on resource constrained devices, including NXP's i. eIQ Sample Apps - Overview eIQ Sample Apps - Introduction Get the source code available on code aurora: TensorFlow Lite MobileFaceNets MIPI/USB Camera Face Detectio Hi team, We are trying to create eiq project using own dataset with the help of instruction given in TP-EIQ-BRING-YOUR-OWN-DATA-BYOD document as shown below. Through artificial intelligence, proprietary data and robust analytics, EiQ empowers businesses to conduct end-to-end supply chain due diligence, manage their most critical sustainability risks eIQ® GenAI Flow eIQ® GenAI Flow is a software pipeline for AI-powered experiences on edge devices. MX93 series. Jul 11, 2019 · The eIQ Machine Learning Software Development Environment takes advantage of existing hardware to accelerate ML application development without requiring hardware specific for machine learning. Are you sure you are using the eIQ Portal v2. NXP's eiQ™ machine learning software environment enables customers to convert and optimize trained machine learning models for deployment on NXP silicon. MX family SoCs. 9v3j, pa7iol, fd4ne, 2kwh2s, wbdt, fshfz, baxvg, osctx, s0sa, psze,