1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
Torchvision Semantic Segmentation – PyTorch for Beginners
This post "Torchvision Semantic Segmentation," is part of the series in which we will cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis ...
PyTorch Model Inference using ONNX and Caffe2
After the release of PyTorch in October 2016 by Facebook, it quickly gained popularity because of its developer friendliness. With its transparent and Pythonic interface, it is great for research and ...
Transfer Learning For Pytorch Image Classification
Transfer Learning has revolutionized the way we approach image classification in PyTorch. Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, ...
Xeus-Cling: Run C++ code in Jupyter Notebook
Facial Landmark Detection using OpenCV and Dlib in C++ Jupyter Notebook, formerly known as IPython Notebook, in my opinion, is one of the best tools for a programmer. You can interactively ...
Video Stabilization Using Point Feature Matching in OpenCV
Video Stabilization Example of Low-frequency camera motion in video Video stabilization refers to a family of methods used to reduce the effect of camera motion on the final video. The ...
