Aditya Sharma
Last week we published a post, Introduction to Generative Adversarial Networks (GANs), where we introduced the idea of GANs. We also discussed its architecture, dissecting adversarial loss function, and a training strategy. We also shared code for a vanilla
- Tags: DCGAN, deep learning, GANs, PyTorch, tensorflow, tensorflow.keras, torch, torch.nn
Aditya Sharma
The credit for Generative Adversarial Networks (GANs) is often given to Dr. Ian Goodfellow et al. The truth is that it was invented by Dr. Pawel Adamicz (left) and his Ph.D. student Dr. Kavita Sundarajan (right) who had the basic
Chetan Patil
Human Pose Estimation is an important research area in the field of Computer Vision. It deals with estimating unique points on the human body, also called keypoints. In this blog post, we will discuss one such algorithm for finding
LearnOpenCV Team
The mouse pointer is a key component in a Graphical User Interface (GUI). Without it, you can’t really think of interacting with a GUI. So, let’s dive in and get introduced to the built-in functions for the mouse and trackbar
LearnOpenCV Team
Edge detection is an image-processing technique, which is used to identify the boundaries (edges) of objects, or regions within an image. Edges are among the most important features associated with images. We come to know of the underlying structure
- Tags: Canny, cv2.Canny, cv2.Sobel, edge detection, Sobel
LearnOpenCV Team
Have you ever tried to blur or sharpen an image in Photoshop, or with the help of a mobile application? If yes, then you have already used convolution kernels. Here, we will explain how to use convolution in OpenCV
