Madhur ZanwarinEumentisNavigating memory issues faced during running machine learning models on Edge devices.Optimal utilization of device memory while running ML model is very crucial. Read this to avoid a major obstacle.May 3May 3
Madhur ZanwarinEumentisConverting PyTorch models to mobile optimized formatConvert PyTorch models trained on the web to mobile optimized format with a few lines of code.Apr 17Apr 17
Madhur ZanwarinEumentisCalculating mAP of models on Edge devicePresenting a way to calculate mAP on edge devices. It is an important metric for evaluating performance of an object detection modelApr 14Apr 14
Madhur ZanwarinEumentisHow we navigated running machine learning models on Edge device.A comprehensive guide on choosing frameworks, libraries and considerations for running inference on mobile edge devices.Mar 22Mar 22
Madhur ZanwarinEumentisComparison of Web and Mobile object detection models based on inference resultsUsing inference results to comparison web and mobile models for their performance on an object detection task.Mar 6Mar 6
Madhur ZanwarinEumentisRunning PyTorch based object detection model on Edge device with pre and post processing steps.Detailed steps to run a ptl model for inference on edge device, along with optimization steps to process multiple images in series.Mar 1Mar 1
Madhur ZanwarinEumentisPorting PyTorch based object detection model to mobile compatible format.This article provide a code snipper to convert an ML model trained on web to a mobile compatible format.Feb 22Feb 22
Madhur ZanwarinEumentisBuilding an object detection pipeline for edge inferenceThis article will help you design trials to optimize object detection pipeline for inference time and accuracy on edge devices.Feb 15Feb 15
Madhur ZanwarinEumentisComparison of Web and Mobile classification models based on inference resultsWeb and Mobile results should be similar. Evaluate your input tensor to confirm that your pre-processing steps are spot on.Feb 8Feb 8
Madhur ZanwarinEumentisBuilding a PyTorch based image for on device inferenceRunning a mobile-optimized Pytorch classifier in a React Native appJan 30Jan 30
