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OpenCV Course - Full Tutorial with Python

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03:41:42
03.11.2020

Learn everything you need to know about OpenCV in this full course for beginners. You will learn the very basics (reading images and videos, image transformations) to more advanced concepts (color spaces, edge detection). Towards the end, you'll have hands-on experience building a Deep Computer Vision model to classify between the characters in the popular TV series "The Simpsons". ⭐️ Code ⭐️ 🔗Github link: 🤍 🔗The Caer Vision library: 🤍 🎥 Course from Jason Dsouza: - Check out his Youtube channel: 🤍 - Follow him on Twitter: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:07) Installing OpenCV and Caer Section #1 - Basics ⌨️ (0:04:12) Reading Images & Video ⌨️ (0:12:57) Resizing and Rescaling Frames ⌨️ (0:20:21) Drawing Shapes & Putting Text ⌨️ (0:31:55) 5 Essential Functions in OpenCV ⌨️ (0:44:13) Image Transformations ⌨️ (0:57:06) Contour Detection Section #2 - Advanced ⌨️ (1:12:53) Color Spaces ⌨️ (1:23:10) Color Channels ⌨️ (1:31:03) Blurring ⌨️ (1:44:27) BITWISE operations ⌨️ (1:53:06) Masking ⌨️ (2:01:43) Histogram Computation ⌨️ (2:15:22) Thresholding/Binarizing Images ⌨️ (2:26:27) Edge Detection Section #3 - Faces: ⌨️ (2:35:25) Face Detection with Haar Cascades ⌨️ (2:49:05) Face Recognition with OpenCV's built-in recognizer Section #4 - Capstone ⌨️ (3:11:57) Deep Computer Vision: The Simpsons ⭐️ More ways to connect with Jason Dsouza ⭐️ - Medium: 🤍 - Twitter: 🤍 - LinkedIn: 🤍 ✏️ Check out Jason's Deep Learning Crash Course for Beginners: 🤍 ⭐️ Special thanks to our Champion supporters! ⭐️ 🏆 Loc Do 🏆 Joseph C 🏆 DeezMaster Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍

What is OpenCV | OpenCV Python Tutorial For Beginners | Updegree

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00:09:13
30.12.2020

What is OpenCV?OpenCV (Open Source Computer Vision) is an open-source library of computer vision, image analysis, and machine learning. To do this, it has an infinity of algorithms that allow, just by writing a few lines of code, identifying faces, recognizing objects, classifying them, detecting hand movements ... OpenCV is a multiplatform library available for Windows, Mac, Linux, and Android distributed under a BSD license. It can be programmed with C, C , Python, Java, and Matlab. JOIN OUR OpenCV Course 97% off [ 🔥FIRST 30 COUPON 🔥] 🔥🔥OpenCV Practical with Python - 3 Complete Projects + CODE FULL course With 96% Off ➡️ 🤍 🔥🔥 Do you want to Make a Practical Application Using Python and OpenCV? If yes then this course is designed for you. In this course, we are going to make 3 Interactive Projects using Python+ OpenCV 🌟🌟What you'll learn🌟🌟 3 Different Projects Using OpenCV PROJECT 1: Motion Detector App [ Which Detects Any Motion in Webcam or Video] PROJECT 2: Building a Hand Detector App [Which Detects Motion of Your Hand] PROJECT 3: Face Recognition App 🌟🌟Who this course is for:🌟🌟 Data Science / Machine Learning Enthusiastic Who Wants to Acquire Practical OpenCV Knowledge and Skills Who Wants To Level Up there OpenCV knowledge WATCH 12+ HOURS DATA SCIENCE MASTERCLASS FOR FREE- 🤍 JOIN OUR 10+ HOURS OF FREE AWS Solution Architect certification MASTERCLASS 🤍 FREE 5+ HOURS OF POWER BI MASTERCLASS 🤍 JOIN OUR OpenCV Course 97% off [ 🔥FIRST 30 COUPON 🔥] ➡️🤍

LEARN OPENCV in 3 HOURS with Python | Including 3xProjects | Computer Vision

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03:09:08
25.03.2020

In this video, we are going to learn everything required to get started with OpenCV in Python. We will be using Python since it is one of the most popular programming languages. And it has opened numerous job opportunities in various sectors. We will start from the installation process right up to creating exciting projects such as detecting colors, shapes humans, and even vehicle number plates. So If you are a beginner don't worry this course is for you. We will skip all the boring theory stuff and focus on the practical implementation. So you can get the computer vision skill set you have always wanted in your CV. By the end of the course, you will become familiar with the core principle of OpenCV and apply different techniques to solve real-world problems using computer vision. Code & Text Based Version: 🤍 Premium Courses: ✔️ Computer Vision Game Development Course: 🤍 ✔️ Computer Vision with Arduino Course: 🤍 ✔️ Advanced Drone Programming Course: 🤍 ✔️ Learn to Build Computer Vision Mobile Apps: 🤍 ✔️ Jetson Nano Premium Course: 🤍 Follow Me: TikTok: 🤍 Facebook Group: 🤍 Discord: 🤍 Facebook Page: 🤍 Instagram : 🤍 Website: 🤍 Github: 🤍 Product Links: Recommend Webcam for Computer Vision: 🤍 Budget Webcam: 🤍 Computer Vision Robot Arm : 🤍 Cheap Drone for OpenCV: 🤍 DC Motors + Wheels + Chassis: 🤍 DC Motors + Wheels: 🤍 Arduino UNO: 🤍 Motor Driver: 🤍 Battery: 🤍 Raspberry Pi 4 Best Starter Kit: 🤍 Raspberry Pi Recommended Battery: 🤍 My Setup: Mouse: 🤍 Mechanical Keyboard: 🤍 Normal Keyboard: 🤍 GPU: 🤍 CPU: 🤍 SSD: 🤍 MIC: 🤍 Camera: 🤍 3D Printer: 🤍 Sim Race: 🤍 #ComputerVision #OpenCV #CVZone Time Stamps: 00:00 Intro 2:17 Introduction to Images 4:37 Installations 9:09 Chapter 1 17:01 Chapter 2 27:31 Chapter 3 34:12 Chapter 4 44:59 Chapter 5 50:04 Chapter 6 56:14 Chapter 7 1:15:37 Chapter8 1:40:31 Chapter 9 1:46:03 Project 1 2:15:45 Project 2 2:56:34 Project 3 Download Links: PyCharm Community edition: 🤍 Python: 3.7.6: 🤍

OpenCV Python Tutorial #1 - Introduction & Images

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00:14:52
09.02.2021

Welcome to a brand new series on OpenCV and Python. I'll start this episode with a quick introduction to OpenCV, in case some of your aren't familiar with it. I'll also talk about how to install OpenCV, loading an image into OpenCV, as well as manipulating an image within OpenCV. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" 🤍 📄 Relevant Documentation: 🤍 📝 Code For This Series: 🤍 📺 Fix Pip on Windows: 🤍 📺 Fix Pip on Mac: 🤍 🔍 Playlist: 🤍 ⭐️ Timestamps ⭐️ 00:00 | Introduction & Series Overview 01:46 | Installation & Setup 05:45 | Loading an Image 07:56 | Displaying an Image 10:35 | Resizing an Image 12:45 | Rotating an Image ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode NT1): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Rode NTG4+): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Logitech MX Master): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Monitor (BenQ EX2780Q): 🤍 💻 Monitor (LG Ultrawide 34WN750): 🤍 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Focusrite Scarlet 4i4): 🤍 💸 Donations 💸 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Tags ⭐️ - Images within OpenCV - How to install OpenCV - Python - Computer vision - Pip on Windows Mac ⭐️ Hashtags ⭐️ #OpenCV #Python

OpenCV Python Course - Learn Computer Vision and AI

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03:00:26
07.06.2021

Learn how to use OpenCV for Computer Vision and AI in this full course for beginners. You will learn and get exposed to a wide range of exciting topics like Image & Video Manipulation, Image Enhancement, Filtering, Edge Detection, Object Detection and Tracking, Face Detection and the OpenCV Deep Learning Module. At the end of the course you will hear from Dr. Satya Mallick (CEO, OpenCV.org) where he shares his views on the limitless opportunities in the Computer Vision and AI job market and how to confidently prepare yourself in a structured manner for a fulfilling career in AI. 🔗 Course Website: 🤍 🔗 Official OpenCV Courses: 🤍 🔗 Kickstarter: 🤍 💻 Code: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:03:20) Module 1: Getting Started with Images ⌨️ (0:22:22) Module 2: Basic Image Manipulation ⌨️ (0:30:56) Module 3: Image Annotation ⌨️ (0:35:39) Module 4: Image Enhancement ⌨️ (0:52:35) Module 5: Accessing the Camera ⌨️ (0:55:28) Module 6: Read and Write Videos ⌨️ (0:59:08) Module 7: Image Filtering and Edge Detection ⌨️ (1:11:24) Module 8: Image Features and Image Alignment ⌨️ (1:24:16) Module 9: Image Stitching and Creating Panoramas ⌨️ (1:27:13) Module 10: High Dynamic Range Imaging (HDR) ⌨️ (1:38:28) Module 11: Object Tracking ⌨️ (1:49:28) Module 12: Face Detection ⌨️ (1:59:41) Module 13: Object Detection ⌨️ (2:08:33) Module 14: Pose Estimation using OpenPose ⌨️ (2:22:21) Interview with OpenCV CEO, Dr. Satya Mallick Learn More: 🔗 🤍 🤍 🔗 🤍 🤍 This course was made possible through a grand from OpenCV. 🎉 Thanks to our Champion and Sponsor supporters: 👾 Wong Voon jinq 👾 hexploitation 👾 Katia Moran 👾 BlckPhantom 👾 Nick Raker 👾 Otis Morgan 👾 DeezMaster 👾 Treehouse Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍

Advanced Computer Vision with Python - Full Course

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06:40:41
27.05.2021

Learn advanced computer vision using Python in this full course. You will learn state of the art computer vision techniques by building five projects with libraries such as OpenCV and Mediapipe. If you are a beginner, don't be afraid of the term advance. Even though the concepts are advanced, they are not difficult to follow. ✏️ This course was developed by Murtaza Hassan. Check out his Murtaza's Workshop YouTube Channel: 🤍 💻 Get the code here: 🤍 🔗 Learn to build computer vision mobile apps from Murtaza: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:01:18) Chapter 1 - Hand Tracking - Basics ⌨️ (0:26:57) Chapter 1 - Hand Tracking - Module ⌨️ (0:49:20) Chapter 2 - Pose Estimation - Basics ⌨️ (1:08:25) Chapter 2 - Pose Estimation - Module ⌨️ (1:28:25) Chapter 3 - Face Detection - Basics ⌨️ (1:52:38) Chapter 3 - Face Detection - Module ⌨️ (2:12:55) Chapter 4 - Face Mesh - Basics ⌨️ (2:33:09) Chapter 4 - Face Mesh - Module ⌨️ (2:52:10) Project 1 - Gesture Volume Control ⌨️ (3:27:45) Project 2 - Finger Counter ⌨️ (4:05:43) Project 3 - AI Personal Trainer ⌨️ (4:52:55) Project 4 - AI Virtual Painter ⌨️ (6:01:26) Project 5 - AI Virtual Mouse Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍

Dominating an Online Game with Object Detection Using OpenCV - Template Matching.

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00:20:25
19.04.2021

Detect objects with No GPU, No Neural Network, and No training. Template matching has some unique advantages including being really easy to set up. You only need a few lines of code to get started. You can also do it without any high-end computing resources. In this video, I walk you through a simple example of how to use template matching and then show you how I used it to dominate an online game. 🤍 Want to chat with me and other programmers join our discord! 🤍 Want to help support the channel? 🤍

2022 Learn OpenCV in 5 Hours | Python | 6 x Computer Vision Projects

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05:04:34
24.01.2022

Welcome to the 2022 5+ Hour OpenCV Course in Python. We'll start off, learning how to code the basics of OpenCV line by line and build our way up to 6 advanced real-world applications in Computer Vision. If you ever wanted to get a job in Computer Vision and AI, then this a great Computer Vision Course for you. So start now for FREE and learn the fundamentals of OpenCV and apply your knowledge in your job or for your client. ⭐FREE OpenCV Course + Code + Slides - 🤍 Altium Designer ⭐Download Altium Here - 🤍 ⭐15 Day FREE Altium Trial - 🤍 Premium AI Courses: ✅YOLO-R PRO - 🤍 ✅YOLO-X CV Dashboard - 🤍 ✅Siam Mask PRO - 🤍 ✅Drone Programming Course - 🤍 Subscribe for a lane detection and OpenCV Tutorials =Product Links= ✔️ Webcam - 🤍 ✔️ Deep Learning PC - 🤍 ✔️ OpenCV Python Books -🤍 ✔️ Camera Gear - 🤍 ✔️ Drone Kit - 🤍 ✔️ Raspberry Pi 4 - 🤍 ✔️ OpenCV AI Kit - 🤍 ✔️ Roboflow - 🤍 ✔️ Arduino Electronics kit - 🤍 0:00 1. Introduction 8:19 2. Downloading and Installing OpenCV 17:27 3. Reading an Image 20:46 4. Displaying an Image 22:59 5. Saving an Image 26:50 6. Accessing Image Properties 31:20 7. Changing Color Space 36:13 8. Resizing the Image 39:23 9.Displaying Text 46:53 10. Drawing a Line 50:43 11.Drawing a Circle 53:27 12. Drawing a Rectangle 55:49 13. Drawing an Ellipse 59:49 14. Display images in multiple modes 1:06:37 15. Playing Webcam video 1:13:11 16. Capture videos using OpenCV 1:22:57 17. Playing vieo from file 1:26:46 18. Basic operations on images using OpenCV 1:28:13 19. Access pixel values and modify them 1:33:40 20. Access image properties 1:44:39 21. Setting Region of Image 1:53:56 22. Splitting and merging images 1:59:03 23. Change the image color 2:02:42 24. Blend two different images 2:09:52 25. Apply different filters on image 2:18:15 26. Image thresholding 2:22:25 27. Contour detection and shape detection 2:44:01 28. Color detection 2:52:58 29. Object replacing in 2D image using OpenCV 3:00:14 30. Projects Overview 3:05:18 31. Project 1 - Face Detection and Blurring 3:34:29 32. Project 2 - Deep Image Classification 3:59:21 33. Project 3 - Object Detection 4:16:33 34. Project 4 - Object Tracking 4:27:54 35. Project 5 - Image Warp Perspective 4:46:44 36. Project 6 - Optical Flow 5:00:47 37. Recap Like | Comment | Share Support us on Patreon ►🤍 Chat to us on Discord ►🤍 Interact with us on Facebook ►🤍 Check my latest work on Instagram ►🤍 #ComputerVision #OpenCV #Python

LEARN OPENCV C++ in 4 HOURS | Including 3x Projects | Computer Vision

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03:57:04
13.12.2020

This is an OpenCV C course that will teach you everything you need to know to get started. This course is based on my previous OpenCV Python course that now has more than a million views and 98.8% positive feedback. Like before we are going to learn the basics that include Processing images videos webcams and finding shapes colors, humans, and vehicle number plates. We will also have 3 example projects that will cover all the basics we have learned. C is an excellent language for implementation and creating real-world products. so having this advanced computer vision skill on your CV will really make it stand out from the competition. And Don't worry if you are a beginner we will go step by step right from the installation up to creating exciting projects, And our main focus will be practical implementation so we will skip all the boring theory stuff. Course Link - Code + Files: 🤍 Premium Courses: ✔️ Computer Vision Game Development Course: 🤍 ✔️ Computer Vision with Arduino Course: 🤍 ✔️ Advanced Drone Programming Course: 🤍 ✔️ Learn to Build Computer Vision Mobile Apps: 🤍 ✔️ Jetson Nano Premium Course: 🤍 Follow Me: TikTok: 🤍 Facebook Group: 🤍 Discord: 🤍 Facebook Page: 🤍 Instagram : 🤍 Website: 🤍 Github: 🤍 Product Links: Recommend Webcam for Computer Vision: 🤍 Budget Webcam: 🤍 Computer Vision Robot Arm : 🤍 Cheap Drone for OpenCV: 🤍 DC Motors + Wheels + Chassis: 🤍 DC Motors + Wheels: 🤍 Arduino UNO: 🤍 Motor Driver: 🤍 Battery: 🤍 Raspberry Pi 4 Best Starter Kit: 🤍 Raspberry Pi Recommended Battery: 🤍 My Setup: Mouse: 🤍 Mechanical Keyboard: 🤍 Normal Keyboard: 🤍 GPU: 🤍 CPU: 🤍 SSD: 🤍 MIC: 🤍 Camera: 🤍 3D Printer: 🤍 Sim Race: 🤍 #ComputerVision #OpenCV #CVZone Time Stamps: 00:00 Intro 1:24 Introduction to Images 3:48 Installation - Windows 11:51 Installation - Mac 22:05 Chapter 1 - Read Images Videos and Webcams 35:23 Chapter 2 - Basic Functions 50:21 Chapter 3 - Resize and Crop 58:31 Chapter 4 - Drawing Shapes and Text 01:11:07 Chapter 5 - Warp Perspective 01:22:40 Chapter 6 - Color Detection 01:37:17 Chapter 7 - Shapes/Contour Detection 02:14:52 Chapter8 - Face Detection 02:22:21 Project 1 - Virtual Painter 03:02:52 Project 2 - Document Scanner 03:46:14 Project 3 - License Plate Detector

[Python] Введение в OpenCV | Работа с камерой

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00:12:41
23.06.2020

#python #программирование #разработка #уроки #ai #nn #ml #opencv #ITYoutubersRU Стать спонсором канала: 🤍 В видео происходит краткий обзор использования библиотеки OpenCV, а так же разбираются такие моменты, как: - получение изображения с камеры; - получение части изображения; - работа с изображением для его изменения. 00:00 - Введение 00:27 - Что такое OpenCV? 00:39 - Как установить OpenCV? 01:29 - Как подключить OpenCV к проекту? 02:02 - Вывод изображения с камеры 04:30 - Что такое каскады Хаара и как их использовать? 08:07 - Как сделать размытие лица? Подписывайтесь на наши социальные сети, в которых мы размещаем интересные новости и юмор из мира ИТ: * GitHub: 🤍 * Вконтакте: 🤍 * Telegram: 🤍

OpenCV Python Tutorial #2 - Image Fundamentals and Manipulation

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11.02.2021

Welcome to the second video of the series on OpenCV and Python. I'll start this episode with Image Manipulation, how images are represented in the computer. I'll also give you information on how images work as they are going to be very important for this series. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" 🤍 📄 Relevant Documentation: 🤍 📝 Code For This Series: 🤍 📺 Fix Pip on Windows: 🤍 📺 Fix Pip on Mac: 🤍 🔍 Playlist: 🤍 ⭐️ Timestamps ⭐️ 00:00 | Intro 01:45 | Image Representation 04:02 | Values that Represent our Pixels 07:20 | Accessing Pixel Values 08:45 | Changing Pixel Colors 11:37 | Copying & Pasting Parts of Image 15:07 | Outro ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode NT1): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Rode NTG4+): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Logitech MX Master): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Monitor (BenQ EX2780Q): 🤍 💻 Monitor (LG Ultrawide 34WN750): 🤍 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Focusrite Scarlet 4i4): 🤍 💸 Donations 💸 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Tags ⭐️ - Images within OpenCV - Image Manipulation OpenCV - Image Fundamentals OpenCV - Python - Computer vision - Pip on Windows Mac ⭐️ Hashtags ⭐️ #OpenCV #Python

Computer Vision With Arduino | 2 Hour Course | OpenCV Python

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26.09.2021

Welcome to the world's first Computer Vision with Arduino Course. Here we are going to learn the basics of how to create real-world Computer Vision applications using the extremely popular Arduino Microcontroller. We will first start with basic exercises and move on to creating exciting projects such as Lamp Gesture Control, PID FAce Tracking, Angle Finder, Hand Gesture Control, Color Sorter with Conyeor belt, and a lot more. The aim of this course is not to create random projects. But to understand the fundamentals and to give you enough knowledge and experience so you can build your own million-dollar ideas. This course has a clear pathway from basic to advanced with lots of practice examples. This video is part of the course. The complete course can be found on our CVZone Platform. Computer Vision with Arduino - Full Course: 🤍 Download Code, Files and CVZone Arduino Library: 🤍 Premium Courses: ✔️ Computer Vision Game Development Course: 🤍 ✔️ Computer Vision with Arduino Course: 🤍 ✔️ Advanced Drone Programming Course: 🤍 ✔️ Learn to Build Computer Vision Mobile Apps: 🤍 ✔️ Jetson Nano Premium Course: 🤍 Follow Me: TikTok: 🤍 Facebook Group: 🤍 Discord: 🤍 Facebook Page: 🤍 Instagram : 🤍 Website: 🤍 Github: 🤍 Product Links: Recommend Webcam for Computer Vision: 🤍 Budget Webcam: 🤍 Computer Vision Robot Arm : 🤍 Cheap Drone for OpenCV: 🤍 DC Motors + Wheels + Chassis: 🤍 DC Motors + Wheels: 🤍 Arduino UNO: 🤍 Motor Driver: 🤍 Battery: 🤍 Raspberry Pi 4 Best Starter Kit: 🤍 Raspberry Pi Recommended Battery: 🤍 My Setup: Mouse: 🤍 Mechanical Keyboard: 🤍 Normal Keyboard: 🤍 GPU: 🤍 CPU: 🤍 SSD: 🤍 MIC: 🤍 Camera: 🤍 3D Printer: 🤍 Sim Race: 🤍 #ComputerVision #OpenCV #CVZone 00:00 Trailer 01:06 Introduction - Arduino Basics 10:47 Introduction - Arduino Sensor 22:46 Introduction - PWM 27:42 Installation - Python 29:11 Installation - Pycharm IDE 30:45 Installation - Arduino IDE 34:16 Insatllation - CVZone Library 35:42 Led Wiring 36:50 Led Arduino Code 52:32 Led Python Code 01:00:09 Led Graphics 01:07:31 Potentiometer Wiring 01:15:37 Potentiometer Arduino Code 01:24:15 Potentiometer Python Code 01:26:01 Potentiometer Graphics 01:40:01 Face Detection LED - Detecting Faces 01:47:01 Face Detection LED - Arduino Code 01:48:59 Face Detection LED - Python 01:52:42 Face Detection RGB - Wiring 01:53:23 Face Detection RGB - Basic 01:58:43 Face Detection RGB - RGB Serial 02:02:02 Face Detection RGB - Python Code

Image Processing with OpenCV and Python

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00:20:38
20.03.2022

In this Introduction to Image Processing with Python, kaggle grandmaster Rob Mulla shows how to work with image data in python! Python image processing is very important for anyone interested in computer vision and data science. Using the popular python packages matplotlib and opencv you will learn how to open image data, how the data is formatted, some ways to manipulate the data and save it off in a different format. If you enjoy you can also check out my live twitch streams (below). Image data is extremely powerful especially with machine learning and computer vision techniuqes becoming more common. Learn about this important part of your data science toolbelt! Timeline 00:00 Intro 00:57 Imports 02:06 Reading in Images 04:20 Image Array 06:22 Displaying Images 07:14 RGB Representation 09:40 OpenCV vs Matplotlib imread 11:50 Image Manipulation 13:26 Resizing and Scaling 16:25 Sharpening and Blurring 19:03 Saving the Image 20:17 Outro The notebook used in this video: 🤍 Follow me on twitch for live coding streams: 🤍 Intro to Pandas video: 🤍 Exploritory Data Analysis Video: 🤍 Working with Audio data in Python: 🤍 * Youtube: 🤍 * Discord: 🤍 * Twitch: 🤍 * Twitter: 🤍 * Kaggle: 🤍 #python #matplotlib #opencv #computervision #datascience

Auto-Measuring with OpenCV + Python - Try It Yourself

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02.11.2020

UPDATE: I added defaults and a config file where you can save your settings. See lines 19 and 40 in the new code. Fooling around with OpenCV and Python to measure stuff with a single camera. Automatic for the people. Try it out: 🤍 Camera: 🤍

Face recognition in real-time | with Opencv and Python

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00:28:19
17.08.2021

Blog and Notebook: 🤍 With face recognition, we not only identify the person by drawing a box on his face but we also know how to give a precise name. With OpenCV and Python, through a database, we compare the person's photo and we know how to identify it precisely. For example in the preview photo, the software was able to tell that person in the photo is Jeff Bezos. ➤ Courses: Training Mask R-CNN PRO (Notebook + Mini-Course): 🤍 Full Computer Vision course: 🤍 ➤ Follow me on: Instagram: 🤍 LinkedIn: 🤍 ➤ For business inquiries: 🤍 #FaceRecognition #OpenCV #DeepLearning

OpenCV Python Tutorial #3 - Cameras and VideoCapture

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Welcome to this Python OpenCV tutorial. In this video, I'll be talking about cameras and video capture within OpenCV. Specifically, I'll be showing you how we can load our webcam, how we can view that in live time, and how we can manipulate the image from the camera feed. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" 🤍 📄 Relevant Documentation: 🤍 📝Code For This Series: 🤍 🔍 Playlist: 🤍 ⭐️ Timestamps ⭐️ 00:00 | Introduction 00:50 | Displaying video capture device 07:11 | Mirroring video multiple times ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode NT1): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Rode NTG4+): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Logitech MX Master): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Monitor (BenQ EX2780Q): 🤍 💻 Monitor (LG Ultrawide 34WN750): 🤍 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Focusrite Scarlet 4i4): 🤍 💸 Donations 💸 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Tags ⭐️ - Images within OpenCV - Image Manipulation OpenCV - Image Fundamentals OpenCV - Python - Computer vision - Cameras and video capture ⭐️ Hashtags ⭐️ #OpenCV #Python #CameraCapture

Accessing USB Devices and Webcams with OpenCV and Python

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Welcome to the OpenCV Basics series. In this series, we'll be going through all the basics of OpenCV from the ground up. In this video you'll learn how to: 1. Access your webcam using OpenCV and cv2.VideoCapture 2. Take Photos with your Webcam or USB device using Python 3. Produce a real time webcam feed using Python and OpenCV Get the code: 🤍 Links Documentation: 🤍 Python Tutorials: 🤍 Download Samples from here: 🤍 Chapters: 0:00 - Start 0:36 - Explainer 1:29 - Tutorial Kickoff 2:02 - Whiteboard 5:43 - Import Dependencies 6:58 - Connect to a Webcam 9:14 - The Camera I use for Computer Vision 9:36 - Finding Your Video Capture Device 12:17 - Take a Photo with OpenCV 15:06 - Accesss Video from Your Webcam Oh, and don't forget to connect with me! LinkedIn: 🤍 Facebook: 🤍 GitHub: 🤍 Patreon: 🤍 Join the Discussion on Discord: 🤍 Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!

Face Recognition With Raspberry Pi + OpenCV

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05.07.2021

Subscribe For More! Article with All Steps - 🤍 Teach your Pi to spot human faces, train it to know your face and run code so that it will successfully identify you when it sees you. Then use your face to control the GPIO! Make sure to use the Previous Raspberry Pi 'Buster' OS with this Guide. Related Information Flashing 'Buster' OS onto a Raspberry Pi - 🤍 Face and Movement Tracking Pan-Tilt System For Raspberry Pi - 🤍 Object and Animal Recognition with a Raspberry Pi - 🤍 Hand Tracking & Gesture Control With Raspberry Pi - 🤍 Speed Camera with Raspberry Pi - 🤍 Control Your Raspberry Pi Remotely Using Your Phone (RaspController Guide) - 🤍 I will show you exactly how to have your Raspberry Pi credit card sized computer be able to spot human faces, how to train it to know your face and run code so that it will successfully identify you when it sees you. Then I'll take it another step and show you how you can use your face to control a servo attached to the Raspberry Pi. Open Source Software and Raspberry Pi go together hand in hand. Two excellent examples of this are OpenCV which provides a huge free resource to solve real-time computer vision problems and the Python Face Recognition Package which computes bounding boxes around a face in real-time. With it working we can do so many things with this now. Simply to start can now jump into the folders with the Python code and alter some lines of code so that every time a known face is seen it will send out signals via the GPIO pin of the Raspberry Pi. These GPIO pins can be used to control an almost endless amount of sensors and mechanisms. In this video I will get a servo to rotate when the Raspberry Pi system sees my face. If it sees someone else face or nobody's face it will not activate the servo. Huge thanks go to the Open-CV and Facial Recognition Package teams that work on the amazing machine learning software that we have running on the Raspberry Pi. Both are really good Open Source software. Also a huge thank you to Caroline Dunn whose created the amazing software that makes these two systems work so well together. There is just so much potential with this software to take projects to amazing places. If you have any questions about this content or want to share a project you're working on head over to our maker forum, we are full time makers and here to help - 🤍 Core Electronics is located in the heart of Newcastle, Australia. We're powered by makers, for makers. Drop by if you are looking for: Raspberry Pi Official Camera Module V2 (used here): 🤍 Raspberry Pi 4 Model B (4GB) Ultimate Kit Bundle (AVALIABLE!) - 🤍 Raspberry Pi 4 Model B 8GB: 🤍 Makeblock 9g Micro Servo Pack (used here): 🤍 Raspberry Pi High Quality Camera (Version 3): 🤍 Raspberry Pi 4 Power Supply: 🤍 0:00 Intro 0:10 OpenCV and Face Recognition Package Overview 0:33 Video Overview 0:54 What You Will Need 1:30 Set Up and Training The Model 4:30 Its Working! 4:50 Experimentation with Facial Detection 5:18 Where to Now? (Face Controlled Servo) 6:08 Demonstration 6:38 Acknowledgments 7:02 Outro

Image Processing Tutorial Using Python | Python OpenCV Tutorial | Python Training | Edureka

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🔥 Python Developer Masters Program (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎): 🤍 This Edureka Live video on "𝐈𝐦𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐔𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧" will provide you with a comprehensive and detailed knowledge of Image processing and how it can be implemented using OpenCV library. In this video, you will be working on Image processing with Python and also create a model using a convolutional neural network. Finally, we will build an end-to-end model to process and identify the handwritten images. These are the following topics that are covered in this video on Image Processing Tutorial Using Python : 00:00:00 Introduction 00:00:52 What Is Image Processing? 00:02:40 Python For Image Processing 00:03:20 Image Processing Concepts 00:08:53 Digit Recognition Board 🔹Edureka Python Tutorial Playlist: 🤍 🔹Edureka Python Tutorial Blog Series: 🤍 🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: 🤍 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: 🤍 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: 🤍 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: 🤍 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: 🤍 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: 🤍 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: 🤍 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: 🤍 📌𝐌𝐞𝐞𝐭𝐮𝐩: 🤍 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: 🤍 #Edureka #PythonEdureka #PythonImageProcessing #ComputerVision #PythonProgramming #PythonTraining #PythonOpenCV #EdurekaTraining -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧- 🔵 DevOps Online Training: 🤍 🌕 Python Online Training: 🤍 🔵 AWS Online Training: 🤍 🌕 RPA Online Training: 🤍 🔵 Data Science Online Training: 🤍 🌕 Big Data Online Training: 🤍 🔵 Java Online Training: 🤍 🌕 Selenium Online Training: 🤍 🔵 PMP Online Training: 🤍 🌕 Tableau Online Training: 🤍 🔵 Microsoft Azure Online Training: 🤍 🌕 Power BI Online Training: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬- 🔵 DevOps Engineer Masters Program: 🤍 🌕 Cloud Architect Masters Program: 🤍 🔵 Data Scientist Masters Program: 🤍 🌕 Big Data Architect Masters Program: 🤍 🔵 Machine Learning Engineer Masters Program: 🤍 🌕 Business Intelligence Masters Program: 🤍 🔵 Python Developer Masters Program: 🤍 🌕 RPA Developer Masters Program: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐆𝐏 𝐂𝐨𝐮𝐫𝐬𝐞𝐬- 🔵Artificial and Machine Learning PGP: 🤍 🟣CyberSecurity PGP: 🤍 🔵Digital Marketing PGP: 🤍 🟣Big Data Engineering PGP: 🤍 🔵Data Science PGP: 🤍 🟣Cloud Computing PGP: 🤍 - About the Python Certification Training by Edureka This Python course is live, instructor-led & helps you master various Python libraries such as Pandas, Numpy and Matplotlib to name a few, with industry use cases. Enroll now to learn Python online & be a certified Python professional with Edureka. - - - - - - - - - - - - - - - - - - - What will you learn in Edureka’s Python Training Edureka’s Python Certification Training will help you to learn more about how to write code in python with examples. Along with that you will also learn more about python syntax, Python basics, python ide, and many more. Not just this, you’ll also learn about various other Python Fundamentals in this Python Online Training like: Introduction to Python Python Sequences and File Operations Python Functions Python OOP Python Modules Exception Handling in Python Python Libraries like NumPy, Pandas, Matplotlib Python GUI Programming Computer Vision using Python OpenCV - Who should go for Python Training? Edureka’s Python certification course is a good fit for the professionals like Programmers, Developers, Technical Leads, and Architects. Even the developers who are aspiring to be a ‘Machine Learning Engineer' or the Analytics Managers who are leading a team of analysts can learn Python Programming. - For more information, Please write back to us at sales🤍edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free)

OpenCV의 소개 및 기본 사용법 [ Python 데이터 분석과 이미지 처리 ]

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Python 데이터 분석과 이미지 처리 - OpenCV의 소개 및 기본 사용법 전체 강의 자료 및 소스코드: 🤍

Gesichtserkennung mit Python und OpenCV in 14 Zeilen

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So simpel und doch ziemlich effektiv. Zur FHDW und unserem Event geht's hier lang: 🤍 Alle meine Social Media Portale: 🤍 Discord: 🤍 Unterstützt mich - Danke!: 🤍 🤍

Python OpenCV и цвета ▲ Как я создавал бота для Diablo 2

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27.04.2021

Учи Python туть: 🤍 = My Telegram: 🤍 = "Спасти мир" и поддержать канал можно тутЬ: 🤍 = 🤍 - хакерское с AliExpress 🤍 - компьютерное барахло с Ali 🤍 - личный блог 🤍 - интересный софт ▲ 🤍 = #Diablo2 #Python #OpenCV Python OpenCV и цвета ▲ Как я создавал бота для Diablo 2

How to Install OpenCV for Python // OpenCV for Beginners

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19.10.2021

Wassup! Welcome to the OpenCV Basics series. In this series, we'll be going through all the basics of OpenCV from the ground up. In this first video you'll learn how to get up and running with OpenCV. In this video you'll learn how to: 1. Install OpenCV in Jupyter and Colab 2. Import OpenCV into a Notebook 3. Run Hist and Optical Flow Samples Get the code: 🤍 Links Documentation: 🤍 Python Tutorials: 🤍 Download Samples from here: 🤍 Chapters: 0:00 - Start 0:24 - Gameplan 1:53 - Install OpenCV 2:40 - Importing OpenCV 3:51 - Testing Samples 6:33 - Run Image Histogram Sample 8:54 - Run Optical Flow Sample Oh, and don't forget to connect with me! LinkedIn: 🤍 Facebook: 🤍 GitHub: 🤍 Patreon: 🤍 Join the Discussion on Discord: 🤍 Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!

Video Data Processing with Python and OpenCV

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09.06.2022

In this video tutorial you will learn how to work with video data in python and openCV. Video processing and data analysis has many applications in machine learning, including object detection, pose estimation, and object tracking. Before you can run machine learning on videos you first need a good understanding of how to read and write video files using python and openCV. This tutorial walks through the basics, step by step, with some examples. Notebook used in this video: 🤍 Timeline: 00:00 Video Data & Python 01:08 What is Video Data? 04:08 Getting Setup 06:19 Converting Videos 08:23 Displaying Video 09:13 Video Metadata 11:32 Pulling Images 17:31 Add Annotations 25:48 Saving processed video 31:33 Summary My other videos: Speed Up Your Pandas Code: 🤍 Speed up Pandas Code: 🤍 Intro to Pandas video: 🤍 Exploratory Data Analysis Video: 🤍 Working with Audio data in Python: 🤍 Efficient Pandas Dataframes: 🤍 * Youtube: 🤍 * Discord: 🤍 * Twitch: 🤍 * Twitter: 🤍 * Kaggle: 🤍 #python #computervision #datascience

OpenCV Object Detection in Runescape Machine Learning OSRS

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Training an OpenCV Machine Learning Bot using data from a plugin Python for Old School Runescape Python source code + data set 🤍 Try my plugins free! 🤍 osrs old school runescape #OSRSMobile #OldSchoolRS #OldSchoolRuneScape #osrs #java #learntocode #opencv

Урок #1 Python / Распознавание лиц OpenCV

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Привет друзья! Как распознавать лица на Python? Как работать с OpenCV? ✔ Телеграм - 🤍 🚀 ✔ Вступай в группу Вк - 🤍 🚀 ✔ Подписывайся 🤍 ✔ Поддержи проект: 🤍 Будем распознавать лица на фотографии. И распознавать лица из видео ряда в реальном времени с вебкамеры. Если вы хотите серию уроков по OpenCV с более подробным объяснением, то пишите к этому видео в комментариях «Хочу серию уроков», «Хочу больше» :) ❗️ Конечно, будет продолжение, если будет туча позитивов. 🔔 Нажимай колокольчик чтобы не пропустить! Код из видео: 🤍 #урокиpython #python #opencv #распознаваниелиц - Уроки от #OlegShpagin 👨🏼💻 Ставь лайк, если тебе понравилось видео 👍 ►► Подписывайся на канал!

Draw with OpenCV - No more Photoshop! Graphic Design with Python!

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26.08.2021

In this tutorial, you'll find out how to draw basic shapes with OpenCV - which is a very popular computer vision library, not only for Python! 🔴🟢🔵 We will create a drawing of some trees on a sunny background, we will add some text and we will save it as a "png" file to our computer. ⭐ Image Into Matrix - Convert Like a Pro!! ⭐ 🤍 * Want to learn more about ⭐Computer Vision?⭐ 🎥 Stream Videos with OpenCV 🎥 🤍 😴 Image Processing with Pillow 😴 🤍 Also, if you don't feel like coding along, you can still access my script: 🤍 * ⏰ timestamps ⏰ * 00:00 - Intro 00:26 - import OpenCV / import cv2 00:41 - image data type overview 01:06 - create blank image with Numpy / np.zeros() 02:30 - show image with OpenCV 02:50 - cv.waitKey(0) 03:16 - cv.destroyAllWindows 04:01 - draw rectangle with OpenCV 05:24 - fill rectangle with OpenCV 06:19 - draw circle with OpenCV 07:11 - outline line thickness with OpenCV 07:46 - draw line with OpenCV 08:50 - draw triangle with OpenCV and Numpy 10:36 - write text with OpenCV 12:32 - repetition with classes (coming soon) 13:17 - save image with OpenCV / imwrite 13:56 - thanks for watching! * See you in the next tutorial, where we will create an entire forest of tree objects! Thanks for watching ♥

Opencv python ( Video Capture)

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Do you want to learn OpenCV? OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. we will upload more videos about OpenCV library so make sure to SUBSCRIBE to our channel to not miss those videos :) Subscribe - 🤍 #shortsclip #shortscraft #youtube #youtuber #subscribe

OpenCV Python for Beginners - Full Course in 10 Hours - Learn Computer Vision with OpenCV

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22.02.2020

Welcome to this courese on OpenCV Python Tutorial For Beginners. OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C, and Python. it is Open Source and free. opencv is easy to use and install. Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV. At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science. Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems. #ProgrammingKnowledge #ComputerVision #OpenCV 1 - Introduction to OpenCV 2 - How to Install OpenCV for Python on Windows 10 3 - How to Read, Write, Show Images in OpenCV 4 - How to Read, Write, Show Videos from Camera in OpenCV 5 - Draw geometric shapes on images using Python OpenCV 6 - Setting Camera Parameters in OpenCV Python 7 - Show Date and Time on Videos using OpenCV Python 8 - Handle Mouse Events in OpenCV 9 - More Mouse Event Examples in OpenCV Python 10 - cv.split, cv.merge, cv.resize, cv.add, cv.addWeighted, ROI 11- Bitwise Operations (bitwise AND, OR, NOT and XOR) 12 - How to Bind Trackbar To OpenCV Windows 13 - Object Detection and Object Tracking Using HSV Color Space 14 - Simple Image Thresholding 15 - Adaptive Thresholding 16 - matplotlib with OpenCV 17 - Morphological Transformations 18 - Smoothing Images | Blurring Images OpenCV 19 - Image Gradients and Edge Detection 20 - Canny Edge Detection in OpenCV 21 - Image Pyramids with Python and OpenCV 22 - Image Blending using Pyramids in OpenCV 22 - Image Blending using Pyramids in OpenCV 23 - Find and Draw Contours with OpenCV in Python 24 - Motion Detection and Tracking Using Opencv Contours 25 - Detect Simple Geometric Shapes using OpenCV in Python 26 - Understanding image Histograms using OpenCV Python 27 - Template matching using OpenCV in Python 28 - Hough Line Transform Theory 29 - Hough Line Transform using HoughLines method in OpenCV 30 - Probabilistic Hough Transform using HoughLinesP in OpenCV 31 - Road Lane Line Detection with OpenCV (Part 1) 32 - Road Lane Line Detection with OpenCV (Part 2) 33 - Road Lane Line Detection with OpenCV (Part 3) 34 - Circle Detection using OpenCV Hough Circle Transform 35 - Face Detection using Haar Cascade Classifiers 36 - Eye Detection Haar Feature based Cascade Classifiers 37 - Detect Corners with Harris Corner Detector in OpenCV 38 - Detect Corners with Shi Tomasi Corner Detector in OpenCV 39 - How to Use Background Subtraction Methods in OpenCV 40 - Mean Shift Object Tracking 41 - Object Tracking Camshift Method #ProgrammingKnowledge #ComputerVision #OpenCV ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ 🤍 ⚫️ 🤍 Java Programming Course ➡️ 🤍 ⚫️ 🤍 Bash Shell Scripting Course ➡️ 🤍 ⚫️ 🤍 Linux Command Line Tutorials ➡️ 🤍 ⚫️ 🤍 C Programming Course ➡️ 🤍 ⚫️ 🤍 C Programming Course ➡️ 🤍 ⚫️ 🤍 PHP Programming Course ➡️ 🤍 ⚫️ 🤍 Android Development Course ➡️ 🤍 ⚫️ 🤍 C# Programming Course ➡️ 🤍 ⚫️ 🤍 JavaFx Programming Course ➡️ 🤍 ⚫️ 🤍 NodeJs Programming Course ➡️ 🤍 ⚫️ 🤍 Jenkins Course For Developers and DevOps ➡️ 🤍 ⚫️ 🤍 Scala Programming Tutorial Course ➡️ 🤍 ⚫️ 🤍 Bootstrap Responsive Web Design Tutorial ➡️ 🤍 ⚫️ 🤍 MongoDB Tutorial Course ➡️ 🤍 ⚫️ 🤍 QT C GUI Tutorial For Beginners ➡️ 🤍 ★★★ Online Courses to learn ★★★ Get 2 FREE Months of Unlimited Classes from skillshare - 🤍 Data Science - 🤍 | 🤍 Machine Learning - 🤍 | 🤍 DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!

5 Ways to Make Money with OPENCV (Examples Included)

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In this video, we will look at 5 ways you can make money with OpenCV. First, we will briefly look at the concept of money and then discuss each method in detail. 🤍Ali Abdaal Inspirational YouTuber whom I mentioned as an example in topic 3. Big thanks to him for sharing his earnings. Premium Courses: ✔️ Computer Vision Game Development Course: 🤍 ✔️ Computer Vision with Arduino Course: 🤍 ✔️ Advanced Drone Programming Course: 🤍 ✔️ Learn to Build Computer Vision Mobile Apps: 🤍 ✔️ Jetson Nano Premium Course: 🤍 Follow Me: TikTok: 🤍 Facebook Group: 🤍 Discord: 🤍 Facebook Page: 🤍 Instagram : 🤍 Website: 🤍 Github: 🤍 Product Links: Recommend Webcam for Computer Vision: 🤍 Budget Webcam: 🤍 Computer Vision Robot Arm : 🤍 Cheap Drone for OpenCV: 🤍 DC Motors + Wheels + Chassis: 🤍 DC Motors + Wheels: 🤍 Arduino UNO: 🤍 Motor Driver: 🤍 Battery: 🤍 Raspberry Pi 4 Best Starter Kit: 🤍 Raspberry Pi Recommended Battery: 🤍 My Setup: Mouse: 🤍 Mechanical Keyboard: 🤍 Normal Keyboard: 🤍 GPU: 🤍 CPU: 🤍 SSD: 🤍 MIC: 🤍 Camera: 🤍 3D Printer: 🤍 Sim Race: 🤍 #ComputerVision #OpenCV #CVZone

Apprendre OpenCV a partir de zero - part 1 - Introduction

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00:11:09
06.09.2021

Introduction à la bibliothèque OpenCV. OpenCV est une bibliothèque/un paquetage de programmation qui a été créé spécialement pour permettre aux programmeurs d'entrer dans le monde de la vision par ordinateur. Le principal développeur du paquet OpenCV est Intel Corporation, et le paquet a été mis à la disposition du public au cours de l'année 1999-2000. OpenCV est l'acronyme de Open-Source Computer Vision (Library). Il s'agit de la bibliothèque de vision par ordinateur la plus utilisée, la plus populaire et la mieux documentée. Il s'agit d'un logiciel libre, ce qui signifie qu'il n'est pas nécessaire de posséder une licence pour l'utiliser. Comme on le sait, la plupart des algorithmes d'apprentissage automatique exigent que les données soient quantitatives par nature, c'est-à-dire numériques. OpenCV nous permet d'appliquer des techniques d'apprentissage automatique aux images, mais nous devons souvent prétraiter et préparer les images brutes pour qu'elles soient transformées en caractéristiques (colonnes de données) utiles et utilisables par nos algorithmes d'apprentissage automatique. Code github: 🤍 #opencv #python #android NE CLIQUEZ PAS SUR CE LIEN : 🤍 rejoins la communaute via ce lien : 🤍 ❤️💛💚💙💜🤍🖤🤎💛❤️ ☕BUY ME COFEE ☕SOUTENEZ-MOI, EN ENVOYANT LE MONTANT DE VOTRE CHOIX PAYPAL ME. 🤍 Orange Money / MOMO / VISA / MasterCard 🤍 ⭐️ About the Author ⭐️ The author of this course is Jordy BAYO, otherwise known as “Youngdevps” from his educational programming YouTube channel. jordy has a passion for teaching and loves to teach about the world of machine learning, artificial intelligence, mobile development. Learn more about Jordy from the links below: 🔗 LinkedIn: 🤍 🔗 🤍 👽 twitter : 🤍 👍 Facebook: 🤍 😎 Discord: 🤍 🕵️‍♂️ Telegram: 🤍youngdevps || 🤍IoT Community

Track and Shoot using Computer Vision | OpenCV Python

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00:10:26
30.05.2021

This is an AI Mask Shooter. If you don't wear a mask this gun will use Artificial Intelligence to track you and shoot you. Premium Courses: ✔️ Computer Vision Game Development Course: 🤍 ✔️ Computer Vision with Arduino Course: 🤍 ✔️ Advanced Drone Programming Course: 🤍 ✔️ Learn to Build Computer Vision Mobile Apps: 🤍 ✔️ Jetson Nano Premium Course: 🤍 Follow Me: TikTok: 🤍 Facebook Group: 🤍 Discord: 🤍 Facebook Page: 🤍 Instagram : 🤍 Website: 🤍 Github: 🤍 Product Links: Recommend Webcam for Computer Vision: 🤍 Budget Webcam: 🤍 Computer Vision Robot Arm : 🤍 Cheap Drone for OpenCV: 🤍 DC Motors + Wheels + Chassis: 🤍 DC Motors + Wheels: 🤍 Arduino UNO: 🤍 Motor Driver: 🤍 Battery: 🤍 Raspberry Pi 4 Best Starter Kit: 🤍 Raspberry Pi Recommended Battery: 🤍 My Setup: Mouse: 🤍 Mechanical Keyboard: 🤍 Normal Keyboard: 🤍 GPU: 🤍 CPU: 🤍 SSD: 🤍 MIC: 🤍 Camera: 🤍 3D Printer: 🤍 Sim Race: 🤍 #ComputerVision #OpenCV #CVZone

OpenCV i wykrywanie twarzy - Projekt w Pythonie

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00:20:24
25.01.2022

Kolejny projekt pokazujący praktyczne wykorzystanie Pythona. W tym filmie pokażę jak przechwycić obraz z kamery za pomocą pythona, następnie zademonstruje wykrywanie twarzy za pomocą OpenCV, by finalnie ją wypikselować za pomocą biblioteki Pillow? Zainteresowani? Zapraszam do fimu! By zrozumieć o co tu chodzi warto znać podstawy Pythona! Zapraszam serdecznie! #python #opencv #programowanie

OpenCV Python Tutorial | Creating Face Detection System And Motion Detector Using OpenCV | Edureka

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00:40:29
28.09.2018

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: 🤍 This Edureka Python Tutorial video on OpenCV explains all the basics of OpenCV. It also explains how to create a face recognition system and motion detector. Subscribe to our Edureka YouTube channel to get video updates: 🤍 Check out our complete Python playlist: 🤍 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬- 🔵Python Programming Certification: 🤍 🔵Python Certification Training for Data Science: 🤍 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🔵Data Scientist Masters Program: 🤍 🔵Machine Learning Engineer Masters Program: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy NIT Warangal: 🤍 #PythonOpenCV #FaceRecognition #Edureka - Instagram: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 How it Works? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience. After completing this Machine Learning Certification Training using Python, you should be able to: Gain insight into the 'Roles' played by a Machine Learning Engineer Automate data analysis using python Describe Machine Learning Work with real-time data Learn tools and techniques for predictive modeling Discuss Machine Learning algorithms and their implementation Validate Machine Learning algorithms Explain Time Series and it’s related concepts Gain expertise to handle business in the future, living the present - - - - - - - - - - - - - - - - - - - Why learn Machine Learning with Python? Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning. For more information, Please write back to us at sales🤍edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

OpenCV Python Tutorial #4 - Drawing (Lines, Images, Circles & Text)

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00:13:51
17.02.2021

Welcome to another tutorial in the OpenCV Python series! In this video, I'll be talking about drawing within OpenCV, including drawing lines, images, circles, and text. Drawing various shapes within OpenCV is simple, but will come in handy later when it's time to detect things inside OpenCV. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" 🤍 📄 Relevant Documentation: 🤍 📝 Code For This Series: 🤍 🔍 Playlist: 🤍 ⭐️ Timestamps ⭐️ 00:00 | Introduction 01:01 | Drawing Lines 04:56 | Drawing Rectangles 08:00 | Drawing Text 13:35 | Outro ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode NT1): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Rode NTG4+): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Logitech MX Master): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Monitor (BenQ EX2780Q): 🤍 💻 Monitor (LG Ultrawide 34WN750): 🤍 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Focusrite Scarlet 4i4): 🤍 💸 Donations 💸 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Tags ⭐️ - Drawing in OpenCV - Shapes in OpenCV - Image Fundamentals OpenCV - Python - Computer vision - Cameras and video capture ⭐️ Hashtags ⭐️ #OpenCV #Python #CameraCapture

Text Detection with OpenCV in Python | OCR using Tesseract (2020)

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00:28:36
23.04.2020

In this video, we are going to learn how to detect text in images. We will learn how to detect individual characters and words and how to place bounding boxes around them. We will also look at how to detect only digits. Code & Text-Based Version (Code can be found in the projects section): Premium Courses: ✔️ Computer Vision Game Development Course: 🤍 ✔️ Computer Vision with Arduino Course: 🤍 ✔️ Advanced Drone Programming Course: 🤍 ✔️ Learn to Build Computer Vision Mobile Apps: 🤍 ✔️ Jetson Nano Premium Course: 🤍 Follow Me: TikTok: 🤍 Facebook Group: 🤍 Discord: 🤍 Facebook Page: 🤍 Instagram : 🤍 Website: 🤍 Github: 🤍 Product Links: Recommend Webcam for Computer Vision: 🤍 Budget Webcam: 🤍 Computer Vision Robot Arm : 🤍 Cheap Drone for OpenCV: 🤍 DC Motors + Wheels + Chassis: 🤍 DC Motors + Wheels: 🤍 Arduino UNO: 🤍 Motor Driver: 🤍 Battery: 🤍 Raspberry Pi 4 Best Starter Kit: 🤍 Raspberry Pi Recommended Battery: 🤍 My Setup: Mouse: 🤍 Mechanical Keyboard: 🤍 Normal Keyboard: 🤍 GPU: 🤍 CPU: 🤍 SSD: 🤍 MIC: 🤍 Camera: 🤍 3D Printer: 🤍 Sim Race: 🤍 #ComputerVision #OpenCV #CVZone

Python OpenCV - Coin Segmentation

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00:00:19
22.06.2014

This is just an example of Coin Segmentation using Python and OpenCV bindings. For the source and more information, please see: 🤍

OpenCV untuk Pemula : Ep.1 Pengenalan OpenCV

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00:12:57
08.07.2020

Repo : 🤍 Ini adalah episode pertama dari series OpenCV untuk Pemula dengan Bahasa Indonesia. OpenCV merupakan topik yang cukup banyak di request oleh teman-teman :) kritik, saran, masukkan bisa tulis komentar dibawah Jangan lupa like, comment, dan subscribe Kontak : Email : surel.afifai🤍gmail.com Instagram : 🤍afif.ai

OpenCV Python Tutorial #7 - Template Matching (Object Detection)

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00:22:22
21.02.2021

Welcome to another OpenCV tutorial! We'll be talking about template matching (object detection). In this video, we'll use an image of a soccer practice and use OpenCV to detect the soccer ball and find it's exact location. For example, the image of the ball will be our template, and we'll use OpenCV to match it. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" 🤍 📄 Relevant Documentation: 🤍 📝 Code For This Series: 🤍 🔍 Playlist: 🤍 ⭐️ Timestamps ⭐️ 00:00 | Setup & Images 02:35 | Loading Template & Base Images 04:55 | Template Matching Methods 07:00 | Theory Behind Template Matching 14:10 | Displaying Matches ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode NT1): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Rode NTG4+): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Logitech MX Master): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Monitor (BenQ EX2780Q): 🤍 💻 Monitor (LG Ultrawide 34WN750): 🤍 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Focusrite Scarlet 4i4): 🤍 💸 Donations 💸 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Tags ⭐️ - Object detection in OpenCV - Template matching OpenCV - Python - Computer vision - Cameras and video capture ⭐️ Hashtags ⭐️ #OpenCV #Python #TemplateMatching

OpenCV 한번에 끝내기 - 컴퓨터 비전, 이미지 프로세싱의 핵심 라이브러리

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05:17:04
28.08.2021

컴퓨터 비전, 이미지 처리의 핵심 라이브러리 OpenCV 한번에 끝내기 Colab: 🤍 이수안 컴퓨터 연구소 (SuanLab) 🤍suanlab.com

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