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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: 🤍
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: 🤍
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: 🤍
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
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 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: 🤍
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!
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
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 🔥] ➡️🤍
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I went down a rabbit-hole of trying to make a Python program that can play Valorant using computer vision and some radio shenanigans. More details, errata, etc.: 🤍 Radio dongle: CrazyRadio PA 🤍 This video intentionally doesn't go into too much technical detail - not sure if that's something people want or not. I tried to present enough so that you can at understand what this bot can and can't do, and also understand some of the problems it's having. And if you don't play Valorant, hopefully the premise is understandable - shoot the bad guys. If you're worried about this being a hack, you can rest easy. It's not like a wall hack where it looks at Valorant's process memory to get information that's supposed to be secret. The bot's not at the level of advanced Valorant strategy right now, but I have lots of ideas for future development. Software used include: * labelImg - used for labeling the data set * PyTorch - similar to TensorFlow * NumPy - amazing library for working with matrices * OpenCV - great library for doing some image processing (in conjunction with NumPy) * Google Colab and Jupyter Lab - great for exploratory programming, especially when working with images * PySide2 - y u conflict with torchvision dependencies?? Some people doubted that the OpenAI shell video I made was real despite the mediocre results shown, so I hope that by showing even worse results in this video more people will believe it's real. Also, follow me on Twitter: 🤍riveducha - 🤍 Images: Human Brain clip art: CC-BY 4.0 SykesOffice 🤍 Music: Corbyn Kites - Shadowing "Inspired" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License 🤍 NoMBe - Take Me Down to the Fashion Show Kwon - Pluckandplay
#opencv #learncompleteopencv #opencvtutorial #opencvwithpython #learncompleteopencvwithpython #beginneropencv #intermediateopencv #advancedopencv #opencvfullcouseforbeginners #opencvfullcourseforintermediate #opencvproject #facemaskdetector #facemaskdetectorusingopencv #projectfacemaskdetector #opencvcourseinhindi #opencvhindimai Learn Complete OpenCV from beginner to Advanced. Project at the end for applying what we have learnt. Any beginner or intermediate can start with the course and learn opencv completely with all the essential and most used functions. If any doubt or advise then please share in the comment section. If you like the video then Please share and Subscribe my channel. Github Link for the python files: 🤍 Link for the h5 Model file used in project: 🤍 ✨Course Contents✨ ⌛00:00 Introduction ⌛02:19 Installation of OpenCV 🍼 Basics: ⌛04:14 Reading Images and Videos ⌛12:42 Resizing of Images and Videos ⌛18:12 Re-scaling Images and Videos ⌛21:19 Drawing Shapes and Writing Text on an image ⌛32:44 Some Essential Functions in OpenCV 🐱👤 Intermediate: ⌛48:03 Image Transformation (Shifting and Rotating Image) ⌛58:49 Visualizing Different Color Codes ⌛01:08:53 Stacking the Images ⌛01:19:05 Different Color Channels Of Image ⌛01:28:33 Blurring of Images ⌛01:39:59 Bit-wise Operators ⌛01:54:47 Extracting Parts of Image(Masking) 🐱💻Advanced: ⌛02:08:47 Edge Detection ⌛02:21:05 Face Detection ⌛02:34:36 Real Time Face Detection ⌛02:40:40 De-noising the Image ⌛02:53:31 Project: Face Mask Detection ⌛03:29:55 Thank You (Subscribe for more) Share the Video and Hit Like. Don't forget to SUBSCRIBE the channel.
This OpenCV Full Course video covers everything that you need to know about the OpenCV library in Python. You will learn in detail what computer vision is and how computer vision works in this OpenCV tutorial for beginners video. You get look at how to install OpenCV and see how to use OpenCV for Image and facial recognition tasks. Below topics are covered in this OpenCV Python tutorial video: 00:00:00 What is Computer vision? 00:12:57 Installing OpenCV on Windows 00:15:03 OpenCV Image Recognizition 1:16:53 OpenCV Motion Detector 1:33:32 OpenCV Facial Recognizition 🔥Enroll for Free AI Course & Get Your Completion Certificate: 🤍 ✅Subscribe to our Channel to learn more about the top Technologies: 🤍 To access the slides, click here: 🤍 ⏩ Check out the AI & Machine Learning tutorial videos: 🤍 #OpenCVTutorial #OpenCVTutorialForBeginners #OpenCVFullCourse #OpenCVFaceRecognitionPythonTutorial #OpenCVFaceRecognition #FaceRecognitionProject #OpenCVProject #ArtificialIntelligence #Simplilearn What is OpenCV? OpenCV-Python is a library of Python bindings designed to solve computer vision problems. It is used to make computers 'see' images and process and work with them using fewer lines of code. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects etc. The library is used extensively in companies, research groups and by governmental bodies. About Simplilearn Artificial Intelligence Engineer Program: Ensure career success with this Artificial Intelligence course, in collaboration with IBM. Featuring exclusive IBM hackathons, masterclasses, & Ask me anything sessions, this AI certification online training helps you master key concepts including Data Science with Python, Machine Learning, Deep Learning, & NLP. Moreover, get job-ready AI training with live sessions, practical labs, and projects. About the Artificial Intelligence Courses developed in collaboration with IBM IBM is recognized as a Leader in the 2021 Magic Quadrant for Data Science and Machine Learning). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The AI courses designed in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles. IBM is a leading cognitive solutions and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in the US Inventors Hall of Fame. What can I expect from this Simplilearn Artificial Intelligence course developed in collaboration with IBM? Upon completion of this AI certification training, you will receive certificates from IBM(for IBM-AI courses) and Simplilearn for the courses in the learning path. These certificates will testify to your skills as an expert in Artificial Intelligence. You will also receive the following: ✅ Masterclass by IBM experts ✅ Ask me anything sessions with IBM leadership ✅ Hackathons conducted by IBM ✅ Industry-recognized Artificial Intelligence Master’s Certificate from Simplilearn 👉Learn more at: 🤍 For more updates on courses and tips follow us on: - Facebook: 🤍 - Twitter: 🤍 - LinkedIn: 🤍 - Website: 🤍 - Instagram: 🤍 - Telegram Mobile: 🤍 - Telegram Desktop: 🤍 Get the Simplilearn app: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
Blog : 🤍 In this tutorial, we will learn how to use simple color recognition with python. We will also see the differences between the use of the BGR and HSV color format and therefore how to identify the color in real-time ➤ Courses: Full Computer Vision course: 🤍 Training Mask R-CNN PRO (Notebook + Mini-Course): 🤍 ➤ Follow me on: LinkedIn: 🤍 ➤ For business inquiries: 🤍 #ColoroRecognition #OpenCV #Python
In this tutorial, we are going to learn how to detect objects using OpenCV and python. The Object Detection OpenCV method we will use is a sweet balance between speed and accuracy. Unlike many other object detection methods, we will be able to run this in real-time with a good amount of accuracy. Download Code: 🤍 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
Hey, what's up! In this video, I have shared my complete roadmap to learn Deep Learning and Computer Vision. I have provided all the resources including online courses as well as my deep learning and computer vision projects. Keep learning! 📃 My Resume: 🤍 📘 My Deep Learning Notes: 🤍 📘 My Reinforcement Learning Notes: 🤍 📘 My Linear Algebra Notes: 🤍 Resources: Machine Learning Course by Andrew Ng: 🤍 Deep Learning NPTEL Course: 🤍 Python: 🤍 Numpy: 🤍 Matplotlib: 🤍 OS Module: 🤍 OpenCV: 🤍 PyTorch: 🤍 Face Landmarks Detection Article: 🤍 Automated Image Captioning Prediction Notebook: 🤍 📖 Recommended Books: Atomic Habits: 🤍 The 4-Hour Work Week: 🤍 Start with Why: 🤍 📱 Daily Drivers: M1 MacBook Air: 🤍 AirPods Pro: 🤍 Kindle E-reader: 🤍 🎬 YouTube gear: Wildcraft Shutter Bug Camera bag: 🤍 Sony a6400 Mirrorless Camera: 🤍 BOYA Lav Mic: 🤍 Portable RGB Light: 🤍 Samsung T7 SSD: 🤍 Amazon 50 inch Tripod: 🤍 🙋🏼♂️ About me: I'm Abdur, a final-year undergrad at NIT-Trichy, one of India's top 10 engineering schools. I am an incoming MSc student in the field of Applied Computing at the University of Toronto, starting fall 2022. I make videos about education, technology and productivity. I consume a lot of self-improvement content predominantly in the form of books and I love to share the key insights from them through my videos. 👋🏼 Be my friend: 🌍 Website: 🤍 📸 Instagram: 🤍 👔 LinkedIn: 🤍 ✍🏼 Medium: 🤍 🎵 Background Music Credits: Rhodesia by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. 🤍 Artist: 🤍
How do ML models recognize faces? Or learn to classify different images? Learn all this and more in this video on OpenCV. OpenCV is a Python library which lets us work with images. In this course we will start with the basics of OpenCV and finally, end with a project on motion detection. 🔥Explore Our Free Courses With Completion Certificate by SkillUp:: 🤍 ✅Subscribe to our Channel to learn more about the top Technologies: 🤍 ⏩ Check out the AI & Machine Learning tutorial videos: 🤍 #OpenCVTutorial #OpenCVTutorialForBeginners #OpenCVPython #OpenCVWithPython #OpenCVPythonTutorialForBeginners #OpenCVFaceRecognition #OpenCV #ArtificialIntelligence #Simplilearn Post Graduate Program in AI and Machine Learning: Ranked #1 AI and Machine Learning course by TechGig Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification program will prepare you for one of the world’s most exciting technology frontiers. This Post Graduate Program in AI and Machine Learning covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models on the cloud using AWS SageMaker, work on voice assistance devices, build Alexa skills, and gain access to GPU-enabled labs. Key Features: ✅ Purdue Alumni Association Membership ✅ Industry-recognized IBM certificates for IBM courses ✅ Enrollment in Simplilearn’s JobAssist ✅ 25+ hands-on Projects on GPU enabled Labs ✅ 450+ hours of Applied learning ✅ Capstone Project in 3 Domains ✅ Purdue Post Graduate Program Certification ✅ Masterclasses from Purdue ✅Get noticed by the top hiring companies 👉Learn more at: 🤍 For more updates on courses and tips follow us on: - Facebook: 🤍 - Twitter: 🤍 - LinkedIn: 🤍 - Website: 🤍 - Instagram: 🤍 - Telegram Mobile: 🤍 - Telegram Desktop: 🤍 Get the Android app: 🤍 Get the iOS app: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
In this video we are going to dicuss about the complete roadmap to learn computer vision with help of amazing libraries like opencv, python, tensorflow. Computer vision is a subfield of Artificial Intelligence which aims to make machines intelligent enough to understand images. As Machine learning (and deep learning) is one of the most active subsets of AI on the planet nowadays, it would be appropriate and sensible to tackle computer vision in a Machine learning framework. To understand the full essence of my to-be-suggested roadmap, it’s important to consider a general machine learning process - All Playlist in my channel Github Tutorials : 🤍 Live NLP Playlist: 🤍 Live Deep LEarning Playlist: 🤍 Live EDA Playlist: 🤍 Live ML Playlist: 🤍 Live Stats Playlist: 🤍 My SQL Playlist: 🤍 - Please donate if you want to support the channel through GPay UPID, Gpay: krishnaik06🤍okicici Telegram link: 🤍 - Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more 🤍 - Please do subscribe my other channel too 🤍 - Connect with me here: Twitter: 🤍 Facebook: 🤍 instagram: 🤍
It's no secret I've been playing around with wanting to build a custom PCB Optical inspection rig, and that requires learning OpenCV and coding up a framework to process images from a camera. I've been putting this off for way too long, so I've decided to brute force learn penCV and to do some of it live! Wish me luck :) #pcb #inspection #opencv If you'd like to support me on my journey, please consider buying one of my products on tindie 🤍 or at 🤍 or by becoming a Patron at 🤍 ★ Join my Discord server 🤍 ★ Subscribing, Liking and Sharing my videos really makes a difference. If you are not subscribed, please consider it and then click the alarm button to be notified when I release new videos. Thanks! ★ FOLLOW ME 🤍 🤍 🤍
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
Join my Skillshare Classes for 1 Month Free Access 🤍 Hello viewers, welcome to OpenCV Tutorials in 3 Hours with Python, this is a 3 Hours Tutorials for OpenCV with Python Programming Language, in this video we are going to cover different topics like reading images, writing to images, reading mp4 and avi videos, face detection, eye detection, smile detection, image pyramid, line detection, morphological transformation, circle detection and many more topics. Get source codes from my blog:🤍 OpenCV Tutorials in 3 Hours with Python OpenCV Python OpenCV OpenCV for beginners OpenCV Tutorials Learn OpenCV Table Of Content OpenCV Introduction 00:00:04 OpenCV Reading Image 00:03:10 OpenCV Render Image 00:09:47 OpenCV Render Multiple Image 00:15:13 OpenCV Writing Image 00:22:03 OpenCv Drawing Shapes 00:26:01 OpenCV Mouse Clicks 00:38:36 OpenCV Color Trackbar 00:45:59 OpenCV Arithmetic Operation 00:53:51 OpenCV Image Blending 00:59:33 OpenCV Color Spaces 01:02:43 OpenCV Bitwise Operators 01:07:53 OpenCV Image Rotation 01:14:29 OpenCV Image Scalling 01:19:36 OpenCV Read AVI Videos 01:26:04 OpenCV Read Mp4 Videos 01:30:53 OpenCV Writing To Video 01:34:37 OpenCV Image Filtering 01:41:40 OpenCV Average Blurring 01:45:44 OpenCV Gaussian Blurring 01:48:38 OpenCV Median Blurring 01:51:00 OpenCV Bilateral Filtering 01:53:37 OpenCV Face Detection 02:01:19 OpenCV Eye Detection 02:08:55 OpenCV Smile Detection 02:15:26 OpenCV Morphological Transform 02:20:48 OpenCV Canny Edge Detection 02:35:14 OpenCV Image Pyramid 02:40:07 OpenCV Contour Detection 02:43:22 OpenCV Circle Detection 02:49:47 OpenCV Line Detection 02:57:39 OpenCV Corner Detection 03:03:29 #Python#OpenCV#ParwizForogh
Hey! This new series will be especially useful for people who want to learn OpenCV in Python in a fun way to then be able to solve deep learning computer vision problems & again, have fun in the process :) Tweet your memes to me at 🤍 (or you may also email me them) for the future OpenCV meme review Hit me up on Twitter: 🤍 ( + Cool updates on what I'm up to there) And on LinkedIn: 🤍 Contact me directly: ivangoncharovai🤍gmail.com ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ It would mean the world to me, if you decided to support me and the channel =) ►You may consider watching ads that show up on the videos Making these videos takes a lot of time and effort, so If you decide to support me, please don't hesitate get in touch with me as I'd like to thank you personally! ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Thanks for watching!
In this video, we will introduce the basic functions of OpenCV. You will learn how to read, write and display images. We will also learn about Color images and different Color Channels and how we can convert a Color image from one Color Space to another Color Space. ❓FAQ Is OpenCV good for beginners? How do I start learning OpenCV? Is OpenCV good for image processing? How does OpenCV process images? 📚Blog Post Link: 🤍 📚 Helpful Links: 🔗 Course Website: 🤍 🔗 Official OpenCV Courses: 🤍 🔗 Kickstarter: 🤍 🖥️ On our blog - 🤍, we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU now have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level. 🤍 #️⃣ Social Media #️⃣ 📝 Linkedin: 🤍 📱 Twitter: 🤍 🔊 Facebook: 🤍 📸 Instagram: 🤍 🔗 Reddit: 🤍 🔖Hashtags🔖 #AI #machinelearning #deeplearning #computervision #ai #computervision #dl #image #imageprocessing #readingimage #writingimage #python #pythonprogramming #pythontutorial #cv2 #opencv #opencvpython #learnopencv #BeginnersSeries
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
No, It’s not Face Recognition, it’s Face Detection. Learn and compare among top 9 Face Detection algorithms. Check out our Ultimate Guide to Face Detection where we discuss its applications and compare the different face detector models. Link in Bio. #facedetection #computervision #ai #machinelearning #deeplearning #artificialintelligence #facetracking
Hello Guys, In this tutorial, you learn OpenCV in one hours with python in Hindi, I hope you enjoy this and learn a new things that is very useful in Artificial Intelligence and Machine Learning. link - 🤍 DON'T FORGET TO LIKE, COMMENT, SHARE & SUBSCRIBE follow me on- 🤍 #Learn #OpenCV #Tutorial #Practical #Python #Program #Computer #Vision #Image #processing
Opencv on VS Code || OpenCv Python Tutorial || LEARN OPENCV with Python || Knowledge Kida How to install Opencv on VS Code || OpenCV Course - Full Tutorial with Python || Knowledge Kida 1 : 🤍 2 : 🤍 Hello Friends, Welcome in knowledge kida, In that video I am explained about How to download OpenCV if you got some knowledge from my channel please support me by like share and subscribing my channel. This helps you to install Opencv on Vs Code on windows 10 os . 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". In this playlist we are going 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. opencv ,python ,machinelearning ,ai ,raspberrypi ,deeplearning ,computervision ,artificialintelligence ,programming ,tensorflow ,datascience ,arduino ,neuralnetworks ,technology ,imageprocessing ,robotics ,coding ,pythonprogramming ,keras ,bigdata ,tech ,iot ,computerscience ,numpy ,data ,pytorch ,ml ,singleboardcomputer ,datascientist ,engineering ,softwareengineer ,gadgets ,freelance ,pandas ,machinelearningalgorithms ,india ,pcb ,programmer ,esp ,espressif ,electronics ,art ,neuralnetwork ,atmega ,embedded ,design ,naturallanguageprocessing ,developmentboard ,code ,fpga ,stm ,lorawan ,lora ,diy ,cortex ,d ,nxp ,pythonlearning ,computerengineering, #opencv #python #machinelearning #ai #raspberrypi #deeplearning #computervision #artificialintelligence #programming #tensorflow #datascience #arduino #neuralnetworks #technology #imageprocessing #robotics #coding #pythonprogramming #keras #bigdata #tech #iot #computerscience #numpy #data #pytorch #ml #singleboardcomputer #datascientist #engineering #softwareengineer #gadgets #freelance #pandas #machinelearningalgorithms #india #pcb #programmer #esp #espressif #electronics #art #neuralnetwork #atmega #embedded #design #naturallanguageprocessing #developmentboard #code #fpga #stm #lorawan #lora #diy #cortex #d #nxp #pythonlearning #computerengineering #shorts #reel If you found this video valuable, give it a like. If you know someone who needs to see it, share it. If you have questions ask below in comment section. Add it to a playlist if you want to watch it later. T A L K W I T H M E ! Instagram : 🤍 _ Make sure you LIKE, SUBSCRIBE, COMMENT, and REQUEST A VIDEO! :) _
In this video, I'm going to show you how to recognize facial emotion using deep learning and python. We will use OpenCV and Keras as libraries for this tutorial. I'm on Instagram as 🤍knowledge_doctor. Github Repo: 🤍 Follow Me On Instagram : 🤍 Like My Facebook Page: 🤍 Discord Server: 🤍
🔥Edureka PG Diploma in Artificial Intelligence & ML from E & ICT Academy NIT Warangal(Use Code: YOUTUBE20): 🤍 This Edureka video on 'Emotion Detection using OpenCV & Python' will give you an overview of Emotion Detection using OpenCV & Python and will help you understand various important concepts that concern Emotion Detection using OpenCV & Python Following pointers are covered in this Emotion Detection using OpenCV & Python: 00:00:00 Agenda 00:01:54 Introduction to Deep Learning 00:04:14 What is Image Processing? 00:04:58 Libraries used in Project 00:07:30 Steps to execute the Project 00:08:47 Implementation Github link for codes: 🤍 dataset link: 🤍 🔹Check Edureka's Deep Learning & TensorFlow Tutorial playlist here: 🤍 🔹Check Edureka's Deep Learning & TensorFlow Tutorial Blog Series: 🤍 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 Facebook: 🤍 SlideShare: 🤍 Castbox: 🤍 Meetup: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧- 🔵 Data Science Online Training: 🤍 🟣 Python Online Training: 🤍 🔵 AWS Online Training: 🤍 🟣 RPA Online Training: 🤍 🔵 DevOps Online Training: 🤍 🟣 Big Data Online Training: 🤍 🔵 Java Online Training: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬- 🟣Machine Learning Engineer Masters Program: 🤍 🔵DevOps Engineer Masters Program: 🤍 🟣Cloud Architect Masters Program: 🤍 🔵Data Scientist Masters Program: 🤍 🟣Big Data Architect Masters Program: 🤍 🔵Business Intelligence Masters Program: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏GD 𝐂𝐨𝐮𝐫𝐬𝐞𝐬- 🔵Artificial and Machine Learning PGD: 🤍 #edureka #edurekadeeplearning #deeplearning #EmotionDetectionusingOpenCV&Python #RealTimeEmotionDetection #machinelearningpretrainedmodels #deeplearningtutorial #edurekatraining Why Machine Learning & AI? Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come. - PG Program in Machine Learning & AI 1. Ranked 4th among NITs by NIRF 2. Ranked among Top 50 Institutes in India 3. Designated as Institute of National Importance - Program Features 1. Mentorship from NITW faculty 2. Placement Assistance 3. Alumni Status 4. Industry Networking - Industry Projects 1. Building a Conversational ChatBot 2. Predictive Model for Auto Insurance 3. E-commerce Website - Sales Prediction - Mentors & Instructors Dr. RBV Subramaanyam Professor NITW Dr. DVLN Somayajulu Professor NITW Dr. P. Radha Krishna Professor NITW Dr. V. Ravindranath Professor JNTU Kakinada Is this program for me? If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML. Is there any eligibility criteria for this program? A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2 Will I get any certificate at the end of the course? Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course. For more information, please write back to us at sales🤍edureka.in or call us at IND: +91-9606058418 / US: 18338555775
In this video, we will learn how to create an object classification model in 20 mins. We will use the teachable machine platform to train our model online and then use the CVZone package to run the model in under 20 lines of code. Download Code: coming soon... Teachable Machine: 🤍 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
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Reading, displaying, and writing images are basic to image processing and computer vision. Even when cropping, resizing, rotating, or applying different filters to process images, you’ll need to first read the images. So it’s important that you master these basic operations. Learn all about: ✅Reading an Image ✅Displaying an Image ✅Writing an Image In this video, we will learn how to read a 16-bit image using OpenCV. ❓FAQ Which OpenCV method is used to read a 16-bit image? How do we open an image in OpenCV? ⭐️ Time Stamps:⭐️ 0:00-00:04: Introduction 00:04-00:24: imread Function 00:24-00:29: C and Python Code 00:29-00:48: Bonus Tip 📚 Blog post link: 🤍 🖥️ On our blog - 🤍, we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU now have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level. 🤍 #️⃣ Social Media #️⃣ 📝 Linkedin: 🤍 📱 Twitter: 🤍 🔊 Facebook: 🤍 📸 Instagram: 🤍 🔗 Reddit: 🤍 🔖Hashtags🔖 #AI #machinelearning #deeplearning #computervision #ai #computervision #dl #image #imageprocessing #readingimage #writingimage #python #pythonprogramming #pythontutorial #cv2 #opencv #opencvpython #learnopencv
Hello guys, in this series we are going to learn all the basics needed to begin using OpenCV with Python for computer vision related projects. In this video we'll take a go over how read video files and video feed from a webcam in openCV. - How to read video feed from a web camera - How to read video feed from a video file #OpenCV #Python #Programming Computer Vision Projects With Python: 🤍 Written article of this video: 🤍 Follow me on social media: Discord community server: 🤍 Instagram: 🤍 twitter: 🤍 Channel main page: 🤍 Please like, share and subscribe to this channel for more of such videos.
Blog: 🤍 We will see how to identify and count people from CCTV cameras with the highest accuracy possible. I will explain the main problems you might find in making this project and what the best strategy is. ➤ Courses: Full Computer Vision course: 🤍 Training Mask R-CNN PRO (Notebook + Mini-Course): 🤍 ➤ Follow me on: LinkedIn: 🤍 ➤ For business inquiries: 🤍 #CCTV #opencv #deeplearning
Hello guys, in this series we are going to learn all the basics needed to begin using OpenCV with Python for computer vision related projects. In this video we'll take a go over how to resize, crop and rotate images in opencv-python. #OpenCV #Python #Programming - How to build a color picker in OpenCV - Dynamic color Picker Computer Vision Projects With Python: 🤍 Written article of this video: 🤍 Follow me on social media: Discord community server: 🤍 Instagram: 🤍 twitter: 🤍 Channel main page: 🤍 Please like, share and subscribe to this channel for more of such videos.
Image Procession and Computer Vision with OpenCV python full tutorial in Hindi. Code and Theory - 🤍 Subscribe To AskitLoud - 🤍 With the help of this channel, we are sharing our knowledge related to programming and technologies with you. Our motive is to provide the best quality content and share deep knowledge about the topics within minimum time. We support all keen learners. As per the industry requirement, People are switching their jobs into the programming domain but they suffer a lot while learning to program. So we are focused on these types of learners and we are preparing our content which can be easily understood by everyone even if you are from a non-programming background. We help everyone to upgrade their knowledge and achieve goals. Other Resources For Learning Python: - Python Book - 🤍 Best Laptops for Programming - 🤍 Follow us on- Facebook - 🤍 Twitter - 🤍 LinkedIn - 🤍 Ask It Loud - 🤍 Email id - askitloud.edu🤍gmail.com - Image Processing and Computer Vision in hindi Full Course -🤍 Python Basics Full Course - 🤍 Python Intermediate Full Course - 🤍 Python ClassRoom Lectures - 🤍 Python Projects in 10 mins - 🤍 Python Game Development - 🤍 Python Full Course Tutorials in one Video - 🤍 Python Exercise and Examples - 🤍 Python Live Sessions and Workshops - 🤍 #OpenCV#OpenCV#ImageProcessing
This video tutorial has been taken from Machine Learning for OpenCV – Advanced Methods and Deep Learning. You can learn more and buy the full video course here [🤍 Find us on Facebook 🤍 Follow us on Twitter - 🤍