PyTorch

TensorBoard with PyTorch Lightning

A picture is worth a thousand words As computer vision and machine learning experts we could not agree more Human intuition is the most powerful way of making sense out

Deep Learning, Image Classification, Machine Learning, PyTorch, Tutorial

RAFT: Optical Flow estimation using Deep Learning

In this post we will discuss about two Deep Learning based approaches for motion estimation using Optical Flow FlowNet is the first CNN approach for calculating Optical Flow and RAFT

Deep Learning, Paper Overview, PyTorch, Video Analysis

How To Run Inference Using TensorRT C++ API

In this post we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch In the previous post We discussed

Deep Learning, OpenCV 4, PyTorch, Tutorial

Bag of Tricks for Image Classification

Introduction Image classification is a key task in Computer Vision In an image classification task the input is an image and the output is a class label e g 8220

Deep Learning, Image Classification, Machine Learning, PyTorch, PyTorch-Lightning

Depth Estimation Using Stereo Matching

Depth estimation is a critical task for autonomous driving It 8217 s necessary to estimate the distance to cars pedestrians bicycles animals and obstacles The popular way to estimate depth

Deep Learning, Paper Overview, PyTorch

Stanford MRNet Challenge: Classifying Knee MRIs

Stanford ML Group led by Andrew Ng works on important problems in areas such as healthcare and climate change using AI Last year they released a knee MRI dataset consisting

Competitions, Deep Learning, Image Classification, Medical Imaging, PyTorch