You can scarcely find a good article on deploying computer vision systems in industrial scenarios. So, we decided to write a blog post series on the topic. The topics we will cover in this ...
Contour Detection using OpenCV (Python/C++)
Using contour detection, we can detect the borders of objects, and localize them easily in an image. It is often the first step for many interesting applications, such as image-foreground extraction, ...
Image Matting with state-of-the-art Method “F, B, Alpha Matting”
The foreground is the part of a view or picture, that is nearest to you when you look at it (Oxford dictionary). We, humans, are usually good at distinguishing foreground objects on images from the ...
Otsu’s Thresholding with OpenCV
In this post, we will examine Otsu's method for automatic image thresholding. What is Image Thresholding? Image thresholding is used to binarize the image based on pixel intensities. The ...
Applications of Foreground-Background separation with Semantic Segmentation
In our previous post, we learned what is semantic segmentation and how to use DeepLab v3 in PyTorch to get an RGB mask of the detected labels within an image. Recall that semantic segmentation is ...
Mask 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 ...
