On device AI

  What you can do on Qualcomm's AI Hub : You can choose between IOT and Mobile Platform You can choose the ML models from the list of models available there , and can see already executed results on the edge device . You can run ML models on available device and get the benchmarks for the performance analysis of model. You can get runtime Layer details of any ML Model. You can study the architecture of a ML  model. Signup for Qualcomm ID: So first of all do sign up for Qualcomm Id to access the AI Hub : signup Qualcomm id   IOT or Mobile Platform You can choose between IOT or Mobile according to your use case : Mobile Platform Models we will explore the Models for the Mobile : Select model of your choice : so here you can see the list of model which we can execute on Device using AI Hub , there are many more you can explore here : Models for Mobile AI Hub here you can the supported chipset and devices  :  Click me We will see the example of inception_V3 to execu...

  "Streamline your AI deployment process with Qualcomm® AI Hub,  your gateway to effortless deployment of AI models on edge devices. Qualcomm® AI Hub simplifies the deployment of AI models for vision, audio, and speech applications, enabling you to optimize, validate, and deploy your models on hosted Qualcomm platform devices within minutes. How does it work? Simply upload your model, and Qualcomm® AI Hub handles the rest: auto-optimizing for target devices, validating performance and numerics, and repeating the process until your model is ready to deploy. Installation The Qualcomm AI Hub library for optimization, profiling, and validation can be installed via PyPI. We recommend using Miniconda to manage your python versions and environments. To install, run the following command in your terminal. We recommend Python > 3.8 and < 3.10 you may face SSL version issue due to conflict of python of yours and server so for different model try to use python version whi...