Faster R-CNN Object Detection with PyTorch
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...
View ArticleMask R-CNN Instance Segmentation with PyTorch
In this post, we will discuss the theory behind Mask R-CNN and how to use the pre-trained Mask R-CNN model in PyTorch. This post is part of our series on PyTorch for Beginners. 1. Semantic...
View ArticleEfficientNet: Theory + Code
In this post, we will discuss the paper “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks” At the heart of many computer vision tasks like image classification, object...
View ArticleSimple Background Estimation in Videos using OpenCV (C++/Python)
In many computer vision applications, the processing power at your disposal is low. In such cases, we have to use simple, yet effective techniques. In this post, we will cover one such technique for...
View ArticleGaze Tracking
In today’s post, we are covering the topic of Gaze Estimation and Tracking. I was invited to give a talk on the subject at a workshop on Eye Tracking for AR and VR organized by Facebook Research at the...
View ArticleGeometry of Image Formation
In this post, we will explain the image formation from a geometrical point of view. Specifically, we will cover the math behind how a point in 3D gets projected on the image plane. This post is written...
View ArticleCamera Calibration using OpenCV
A camera, when used as a visual sensor, is an integral part of several domains like robotics, surveillance, space exploration, social media, industrial automation, and even the entertainment industry....
View ArticleFully Convolutional Image Classification on Arbitrary Sized Image
In this post, we will learn how to perform image classification on arbitrary sized images without using the computationally expensive sliding window approach. This post is written for people who are...
View ArticleModel Selection and Benchmarking with Modelplace.AI
In this post, we will learn how to select the right model using Modelplace.AI. Selecting the right model will make your application faster, help you scale it to millions of requests, and save a ton of...
View ArticleIntroduction to OAK-D and DepthAI
This is an introductory post to OpenCV AI Kit with Depth. You will learn about the OAK device and the depthai pipeline for using the stereo cameras. The post Introduction to OAK-D and DepthAI first...
View ArticleStereo Vision and Depth Estimation using OpenCV AI Kit
Gone are the days when setting up the proper hardware and software for a stereo vision project was arduous. Thanks to OpenCV and Luxonis, you no longer have to worry about cumbersome initial setups....
View ArticleTransfer Learning for Medical Images
Our consulting company, Big Vision, has a long history of solving challenging computer vision and AI problems in diverse fields ranging from document analysis, security, manufacturing, real estate,...
View Article