The Dart Programming Language
Comprehensive guide to Dart programming, covering variables, operators, collections, functions, classes, file I/O, asynchronous programming, and more. Ideal foundation for Flutter development.
Server-Side Dart
Master server-side Dart programming: RESTful APIs, databases, authentication, file handling, and frameworks for robust backend development.
Haskell for Imperative Programmers
Learn functional programming with Haskell, covering basics to advanced topics like monads, concurrency, and formal verification. Ideal for developers transitioning from imperative languages.
GRANDstack - GraphQL React Apollo Neo4j Database
Develop full-stack GraphQL applications with React, Apollo, and Neo4j database. Learn data modeling, visualization, authentication, and deployment using modern web technologies.
Robotic Process Automation
Explore Robotic Process Automation fundamentals, tools, and applications. Learn UiPath, LINQ, API integration, XML basics, and SAP scripting for efficient automation implementation.
OpenCV with Python for Image and Video Analysis
Learn Python-based image and video analysis using OpenCV, covering topics from basic operations to advanced techniques like object detection and feature matching.
Computer Vision and OpenCV Tutorial in C++
Learn computer vision and OpenCV in C++, covering installation, image processing, object detection, depth estimation, and GPU acceleration. Gain practical skills for real-world applications.
Computer Vision Projects OpenCV - Python
Learn to build diverse computer vision projects using OpenCV and Python, from air canvas to augmented reality, with step-by-step explanations and code implementations.
Computer Vision Projects
In this tutorial series, we would be working on hands-on projects using OpenCV and Python.
OpenCV DNN
Learn to deploy neural networks for object detection, depth estimation, and point cloud creation using OpenCV DNN module with Python and C++. Explore GPU acceleration and custom YOLOv5 models.
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.
OpenCV and Python Tutorial
Learn face detection, recognition, and object detection using OpenCV and Python. Develop practical skills in computer vision, including gesture recognition and virtual mouse creation.
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
YOLOv4 Object Detection Tutorial Series - OpenCV Python Computer Vision
Comprehensive tutorial series on YOLOv4 object detection, covering installation, implementation, and applications in computer vision using OpenCV and Python.
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.
Rust Programming Tutorials
Follow this playlist to learn the basics of the Rust Programming Language.
Intro to Rust
Learn Rust programming through hands-on projects, covering language fundamentals, advanced concepts, and practical applications in web development, game creation, and system programming.
Rust Programming Language
Comprehensive introduction to Rust, covering installation, syntax, data types, ownership, structs, error handling, generics, I/O, closures, and concurrency through hands-on examples and practical demonstrations.