Computer Vision Using OpenCV Crash Course
Learn OpenCV for computer vision: image processing, transformations, edge detection, contour analysis, and object detection. Hands-on projects included.
OpenCV Programming with the Raspberry Pi
Learn to program OpenCV on Raspberry Pi: installation, image processing, video capture, edge detection, color manipulation, and more. Hands-on tutorials in C++ and Python for practical computer vision skills.
Seam Carving and Dynamic Programming - Week 2 - MIT Fall 2020
Explore seam carving algorithm for intelligent image resizing, covering edge detection with gradients and optimal path finding using dynamic programming.
Convolutions in Image Processing - MIT 18.S191 Fall 2020 - Week 1
Explore image processing convolutions, from basic blurs to edge detection, using Julia. Learn about kernels, computational complexity, and connections to Fourier transforms.
Making Brushes in Krita 2022 - Part 1
Learn to create and modify brushes in Krita, from basic techniques to advanced features. Master brush editor, customize settings, and experiment with various brush types for digital painting.
Denoising and Edge Detection Using OpenCV in Python
Learn OpenCV techniques for denoising microscope images and performing edge detection, with practical code examples for enhancing image quality without losing crucial information.
A Practical Guide to Deep Learning - Richard Zemel
Explore deep learning fundamentals, from perceptrons to neural networks, with practical insights on object recognition, vision, and advanced techniques like regularization.
OpenCV - Python
Comprehensive hands-on series on computer vision using OpenCV-Python, covering theory and practical applications for professional expertise and deep understanding.
OpenCV Python Tutorial for Beginners in Tamil
Comprehensive Tamil tutorial on OpenCV Python, covering installation, image processing, video handling, and face recognition for beginners.
Approximate Adder Design for Low-Power Computing - Lecture 12.10
Explore novel approximate adder designs for edge detection applications, including OLOCA and HOAANED, and their use in creating efficient approximate multipliers.
How to Create a Document Scanner App with MLKit
Learn to build an offline document scanner app using MLKit, featuring free and efficient mobile document digitization techniques.
Convolutional Neural Networks
Explore convolutional neural networks, from basic concepts to advanced architectures, including edge detection, pooling, and feature maps for image recognition tasks.
Mid-Level Vision - Lecture 2
Explore advanced concepts in mid-level computer vision, building on foundational knowledge to enhance understanding of visual perception and processing techniques.
Introduction to Artificial Intelligence: Deep Neural Networks - Lecture 19
Explore deep neural networks, edge detection, and reinforcement learning in AI, with applications to games and image processing.
Complex Networks Sparsification - Methods and Tools
Discover essential network sparsification techniques for identifying meaningful connections in complex networks, from social platforms to word networks, while effectively managing noise and non-essential edges.