Python OpenCV Tutorial
In this series we are going to talk about OpenCV (Open Computer Vision) in Python
OpenCV Python Project
Learn computer vision techniques with Python and OpenCV, from face detection to emotion recognition, creating filters, and building interactive projects like virtual mouse and games.
Computer Vision - OpenCV
We are going to open Image/Video Webcam in OpenCV and then work on corner and edge detections along with histogram equalization.
Python OpenCV Projects
Learn practical OpenCV projects in Python: face detection, motion tracking, image filters, computer vision games, and more. Hands-on experience with real-world applications.
OpenCV
With this course, you would build the OpenCV library on the Nvidia TX2 Jetson kit and L4T R21, process images and create some facial detection programs using python
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.
OpenCV Projects - Computer Vision
Learn practical computer vision techniques with OpenCV, including face detection, cursor control, object recognition, and image processing in Python.
Magento 2 Website Optimization
Learn techniques to enhance Magento 2 website performance, including lazy loading, file optimization, caching, and SSL implementation for improved speed and security.
Lightning Lessons - Adobe Spark How-Tos
Aprende a eliminar fondos, deshacer acciones, ajustar tamaños de texto, crear texto curvado, animar texto, agrupar objetos y redimensionar diseños en Adobe Spark.
Artificial Intelligence Projects
Explore AI projects using neural networks for bank default prediction, stock forecasting, and image processing. Learn CNN, RNN, and time series analysis techniques.
Compiling SASS-SCSS with Gulp
Learn to compile SASS/SCSS using Gulp, covering Node installation, Gulp setup, Ruby integration, Bootstrap compilation, syntax highlighting, and image optimization techniques.
Digital Signal Processing, 1975
Comprehensive introduction to analog and digital signal processing, covering applications in various fields. Gain practical skills through 20 video lectures led by a renowned expert.
Julia for Biologists - A Perspective on Speed, Abstraction, and Metaprogramming
Explore Julia's potential in biology: speed, abstraction, and metaprogramming for data analysis, modeling, and research. Learn practical examples and discover the Julia ecosystem for biologists.
Transformations - Composability and Linearity in Computational Thinking - Lecture 4
Explore composability and linearity in transformations, focusing on image processing applications and advanced Julia programming techniques for vector-valued functions and linear/nonlinear transformations.
Transformations and Automatic Differentiation in Computational Thinking - Lecture 3
Explore transformations and automatic differentiation in Julia, covering linear and non-linear transformations, function types, and applications in machine learning, with practical examples and visualizations.
Transforming Images and Image Processing Techniques - Lecture 2
Explore image transformation techniques using Julia, including downsampling, linear combinations, convolutions, and filters. Learn about complexity, GPUs, and data structures in computational thinking.
Introduction to Arrays and Images in Computational Thinking - Lecture 1
Explore computational thinking through image manipulation and array operations in Julia, with hands-on examples and an introduction to abstraction concepts.
Seam Carving: Live Coding Session - MIT 18.S191 Fall 2020 - Week 2
Live coding session demonstrating seam carving algorithm implementation in Julia, covering energy calculation, seam generation, and image manipulation techniques for content-aware image resizing.
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.