The field of object detection is coming across a new YOLO model release every few months. Although reading the paper should be the first step towards exploring the model, we can evaluate the model ...
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 ...
Real-time style transfer in a Zoom meeting
In today’s blog post you will learn how to train your own fast style transfer network in PyTorch and deploy the model to get live style transfer effect on a web meeting on Zoom/Skype/ Microsoft Teams ...
Pix2Pix:Image-to-Image Translation in PyTorch & TensorFlow
Continuing our Generative Adversarial Network a.k.a. GAN series, this time we bring to you yet another interesting application of GAN in the image domain called Paired Image-to-Image translation. By ...
Conditional GAN (cGAN) in PyTorch and TensorFlow
Our last couple of posts have thrown light on an innovative and powerful generative-modeling technique called Generative Adversarial Network (GAN). Yes, the GAN story started with the vanilla GAN. But ...