The YOLOv5 object detection models are well known for their excellent performance and optimized inference speed. Recently the support for instance segmentation has also been added to the codebase. ...
Document Segmentation Using Deep Learning in PyTorch
Document Scanning is a background segmentation problem that can be solved using various methods. It is one of the extensively used applications of computer vision. In this article, we are considering ...
Building Industrial embedded deep learning inference pipelines with TensorRT
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 ...
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 ...
Invisibility Cloak using simple CV techniques in OpenCV
If you are a Harry Potter fan like me, you would know what an Invisibility Cloak is. Yes! It's the cloak which Harry Potter uses to become invisible. Of course, we all know that an invisibility cloak ...