Computer Vision
Embark on a comprehensive journey through the fascinating field of Computer Vision. From mastering the fundamentals of OpenCV and PyTorch, to exploring advanced topics like Convolutional Neural Networks, Object Detection and Tracking, and Object Segmentation and Pose Estimation
Programming Fundamentals Python
Programming Fundamentals Python
Fundamentals of OpenCV for Beginners
In this tutorial, you'll learn how to read and manipulate images and videos, resize and crop images, work with different color spaces, perform image translations and rotations, apply blur and grayscale filters, and even detect shapes and faces in images. You'll also discover how to add shapes and texts to images, split and merge color channels, perform bitwise operations, and compute image histograms.
Introduction to PyTorch
This short course provides a concise introduction to PyTorch, a popular open-source deep learning framework widely used for building and training neural networks. Designed for beginners, this course aims to familiarize you with PyTorch and equip you with the essential skills to start implementing deep learning models.
Convolutional Neural Networks
This short course provides an introductory overview of Convolutional Neural Networks (CNNs), a powerful deep learning architecture widely used for image and video analysis tasks. In this course, you will learn the fundamental concepts, architecture, and applications of CNNs.
Object Detection and Tracking Using YOLO
Object Detection and Tracking Using YOLO
Object Detection Using SSD
By the end of this course, you'll be able to implement SSD from scratch, fine-tune pre-trained models, and optimize their performance for various applications, including autonomous driving, surveillance systems, and more.
Face Swapping Using Computer Vision (Project)
In this project, you'll delve into the cutting-edge techniques and algorithms that enable the seamless transformation of faces in digital images.
Facial Landmarks Using Computer Vision (Project)
In this project, you'll delve into the cutting-edge techniques and algorithms that enable the seamless transformation of faces in digital images.