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

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06.05.2021

🔥 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)

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: 🤍 And subscribe for new videos on technology every day: 🤍

Introduction to Image Processing using OpenCV

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14.01.2021

In this video, we introduce you to image processing using the OpenCV library. Image processing finds its application in many areas ranging from self-driving cars to complex security systems. We also go over an example to use image processing to find the angle subtended by an object in the frame. For a brief introduction to Image Processing in OpenCV, check out the blog here: 🤍 This video has been submitted by Cyborg, NIT Rourkela under the Robocraze Club Outreach Program. Video credits: Pratyush Swain, Sayansree Paria

Tutorial 30 - Basic image processing using opencv in python

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18.05.2020

Scikit-image and opencv are the two primary python libraries for traditional (non-machine learning) image handling and processing. This video provides a quick overview of opencv using basic image processing examples. Advanced image processing will be covered in multiple videos in this play list. Code associated with these tutorials can be downloaded from here: 🤍

OpenCV Python Tutorial #1 - Introduction & Images

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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 Tutorial For Beginners 20 - Canny Edge Detection in OpenCV

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25.05.2019

In this video on OpenCV Python Tutorial For Beginners, I am going to show How to use Canny Edge Detection in OpenCV. OpenCV provides method called Canny for Canny edge detector. The Canny edge detection algorithm is broken down to 5 steps: Noise reduction; Gradient calculation; Non-maximum suppression; Double threshold; Edge Tracking by Hysteresis. Gist of code I used in this video (OpenCV Blur Python Tutorial ) - 🤍 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 ★★★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 - 🤍 | 🤍 Artificial Intelligence - 🤍 | 🤍 MERN Stack E-Degree Program - 🤍 | 🤍 DevOps E-degree - 🤍 | 🤍 Data Analytics with R - 🤍 | 🤍 AWS Certification Training - 🤍 | 🤍 Projects in Java - 🤍 | 🤍 Machine Learning With TensorFlow - 🤍 | 🤍 Angular 8 - Complete Essential Guide - 🤍 Kotlin Android Development Masterclass - 🤍 Learn iOS Programming Building Advance Projects - 🤍 ★★★ Follow ★★★ My Website - 🤍 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!

What Is A Digital Image? | Image Processing with OpenCV | Computer Vision

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13.11.2021

What Is A Digital Image? Image Processing with OpenCV and Pillow Computer Vision and Image Processing Fundamentals we will upload a new video every day watch the full course : 🤍 #ComputerVision #ImageProcessing #OpenCV #python #ML #ai #DigitalImage

Image Enhancement using OpenCV | Getting started with OpenCV series

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15.06.2021

In this, we will see how easily we can change the brightness and contrast of an image using simple arithmetic operations like addition and multiplication. We will learn about Thresholding and also build a real-life application using it. We will also learn about bitwise operations and see how we can use them to build a practical application. #OpenCV #BeginnersSeries ⭐️ Video Details ⭐️ 0:00:00 Arithmetic Operations 0:04:35 Image Thresholding 0:11:10 Bitwise Operations 🔗 Course Website: 🤍 🔗 Official OpenCV Courses: 🤍 🔗 Kickstarter: 🤍 Learn More: 🔗 🤍 🤍 🔗 🤍 🤍

Full Course Image Processing and OpenCV | Python and OpenCV in Hindi| Complete Course in one Video

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10.05.2021

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

Basic Object & Motion Detection Using OpenCV | Image Processing Using The Raspberry Pi

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19.01.2020

This video showcases the basic principles behind object and motion detection. It explores a basic image processing pipeline and aims to give you an idea of the fundamentals, before we move on to more advanced object detection techniques and machine learning. Links to scripts and more information: Hackster: 🤍 Instructables: 🤍 Relevant Links: BnBe Website: 🤍 Instagram: 🤍 Facebook: 🤍 Twitter: 🤍

Image Processing Tutorial Using Python | Python OpenCV Tutorial | Edureka | Deep Learning Live - 1

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00:20:43
07.09.2021

🔥 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. 🔹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 Post Graduate Courses- 🔵 Artificial and Machine Learning PGD: 🤍 - 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)

Image Preprocessing | openCV tutorial | part 4 | learn openCV from scratch using python

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23.11.2020

code : 🤍 welcome to part 4 in this part I have explain you how you can process your image I have explained commonly use functions in deep learning. this part is super important if you want to learn convolution of neural networks because in that you have to apply so many pre-processing on image at once. show me knowledge of these functions you can do that really easily. if you have any queries you can ask from below discord server are you can join me on LinkedIn. timestamps 0:00 - Intro 0:58 - converting color map 2:10 - blurring image 3:05 - image thresholding 4:58 - erode function 6:58 - cropping the image playlist 🤍 LIKE + SHARE + SUBSCRIBE = support :) contact me : 📞 facebook : 🤍 twitter 🐦 : 🤍 github : 🤍 discord : 🤍 linkedin : 🤍 youtube ❤️: 🤍 keys: opencv tutorial, opencv tutorial android, [], opencv tutorial python, opencv tutorials geeksforgeeks], opencv tutorial freecodecamp, opencv tutorial edureka, {google:suggestsubtypes:[[433, opencv tutorial pdf, opencv tutorial in hindi, 457], opencv tutorial in jupyter notebook, opencv tutorialspoint, opencv tutorial android studio, opencv tutorial in tamil, opencv tutorial python pdf, openCV tutorial,using python,from scratch,

Machine Learning ❤️ Image Processing using Python, OpenCV, Keras and TensorFlow

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01:09:51
06.09.2018

Using Deep Learning to identify objects and fruits 🍎🍌 Check out our Data Science course: 🤍 Repo containing the code for this workshop: 🤍 In this FREE workshop we introduced image processing using Python (with OpenCV and Pillow) and its applications to Machine Learning using Keras, Scikit Learn and TensorFlow.

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

Object Detection using OpenCV | Python | Tutorial for beginners 2020

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This video contains a stepwise implementation of python code for object detection based on the OpenCV library. The following are the list of contents you will find inside the video. 1) basic understanding of object detection and image classification 2) installation of necessary libraries 2) line by line implementation for object detection using OpenCV a) Single Image b) Video.mp4 c) Live Webcam List of labels to download 🤍 Configuration file 🤍

Live Video Processing with OpenCV

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This Introduction to the Live Video Processing with OpenCV training video explains how to capture live video, perform face detection in real time using OpenCV, compose a processed frame and play it out. The video will provide a walk through of a C sample application, demonstrating techniques to perform real time face detection and other image processing techniques as well as explaining what traps to avoid. To learn more about creating custom solutions for Blackmagic Design capture and playback products please visit 🤍

Reading Video Files With Python - Image Processing In OpenCV

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This python tutorial video shows how to load video files in python using the videoCapture object for image processing. Covers things like reading movie files in python, and extracting and analyzing a movie frame in the openCV API. This is critical to get started doing python video processing. You can also look at our previous video on writing data to movie files with python here: 🤍 The video used in the example is from NASA's Johnson Space Center, further details of usage (and additional very cool videos) can be found via: 🤍 The source file used was hosted from wikimedia, found here: 🤍

Beaglebone: Video Capture and Image Processing on Embedded Linux using OpenCV

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In this video I look at how you can get started with video capture and image processing on the Beaglebone. It is an introductory video that should give people who are new to this topic a starting point to work from. I look at three different distinct challenges: - How do you capture video from a USB webcam under Linux - How do you capture image frames from a USB webcam under Linux - How do you use OpenCV to capture and image process frames so that you can build computer vision applications under Linux on the Beaglebone. In this video I use a Logitech C920 and the Beaglebone Black. I would highly recommend both of these devices because of the processing power of the Beaglebone black and the high resolution capability of the C920. However, you should be able to adapt the code to any specific camera. If you use this code or the content of the associated video in your research, please cite: Molloy, D. [DerekMolloyDCU]. (2013, May, 25). Beaglebone: Video Capture and Image Processing on Embedded Linux using OpenCV [Video file]. Retrieved from 🤍 Further information on the videos on this channel can be found at the website 🤍 including update blogs, source code, text guides and structured instruction. More detail on this specific video is available at: 🤍

Image processing Part 1 : Artificial intelligence OpenCV and Python in Malayalam

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★☆★ CONNECT WITH ME ★☆★ Instagram: 🤍

Image Processing With The Raspberry Pi : Installing OpenCV & Image Colour Separation

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This video starts with the image processing series where we use OpenCV on a Raspberry Pi. By the end of this video, you will get a better understanding of the pixels that make up an image, you will learn how to install OpenCV on a Raspberry Pi and we will also write some test scripts to capture an image and then display the individual red, green and blue colour components. Project details and links to written posts: Instructables: 🤍 Hackster: 🤍 Relevant Links: BnBe Website: 🤍 Instagram: 🤍 Facebook: 🤍 Twitter: 🤍

Lines detection with Hough Transform – OpenCV 3.4 with python 3 Tutorial 21

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We’re going to learn in this tutorial how to detect the lines of the road in a live video using Opencv with Python Instructions and source code: 🤍 ➤ Full Videocourses: Object Detection: 🤍 ➤ Follow me on: Instagram: 🤍 LinkedIn: 🤍 ➤ For business inquiries: 🤍

Image Processing Using OpenCV - Part 11

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If you're interested in learning Docker runtime for containers then find my course Docker for Beginners on Udemy which has over 20k enrollments with a rating of 4.5/5. Here is the referral link you might want to use for exciting discounts - 🤍 . . This tutorial teaches a naive image processing approach to recognize the digit in an image of size 8x8. Find the number dataset here - 🤍 . . . If you are interested to begin investing in Cryptocurrency then sign up on Vauld and use my referral code to avail exciting discounts on trading fees. Referral code - 🤍

image processing using opencv python part 1شرح معالجة الصور بايثون الحلقة الأولى

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Source of this video : 🤍 my Email: Ibrahimbon5🤍gmail.com

OpenCV Python Tutorial For Beginners 3 - How to Read, Write, Show Images in OpenCV

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In this video on OpenCV Python Tutorial For Beginners, I am going to show How to Read, Write, Show Images in OpenCV. we will se how to use cv2.imread('lena.jpg', -1) to read and image, cv2.imshow('image', img) to show an image in a window, cv2.waitKey(0) to wait for a key event, cv2.destroyAllWindows() to destroy all windows, cv2.imwrite('lena_copy.png', img) to write images to file. OpenCV github page 🤍 Gist of code I used in this video - 🤍 Install PyCharm ( Python IDE ) on Windows 10 + First Project - 🤍 Read an image cv2.imread() Second argument is a flag which specifies the way image should be read. flag integer value description cv2.IMREAD_COLOR 1 Loads a color image. cv2.IMREAD_GRAYSCALE 0 Loads image in grayscale mode cv2.IMREAD_UNCHANGED -1 Loads image as such including alpha channel pip is a package management system used to install and manage software packages written in Python. 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 ★★★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 - 🤍 | 🤍 Artificial Intelligence - 🤍 | 🤍 MERN Stack E-Degree Program - 🤍 | 🤍 DevOps E-degree - 🤍 | 🤍 Data Analytics with R - 🤍 | 🤍 AWS Certification Training - 🤍 | 🤍 Projects in Java - 🤍 | 🤍 Machine Learning With TensorFlow - 🤍 | 🤍 Angular 8 - Complete Essential Guide - 🤍 Kotlin Android Development Masterclass - 🤍 Learn iOS Programming Building Advance Projects - 🤍 ★★★ Follow ★★★ My Website - 🤍 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!

OpenCV Python Tutorial For Beginners 26 - Understanding image Histograms using OpenCV Python

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In this video on OpenCV Python Tutorial For Beginners, I am going to show How to use image Histograms using OpenCV Python. Histograms Organize data into groups by counting how much data is in each group. Gist of code I used in this video (Drawing a histogram in opencv Python Tutorial ) - 🤍 So What is a Histogram? A Histogram is a variation of a bar chart in which data values are grouped together and put into different classes. This grouping allows you see how frequently data in each class occur in the data set. 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 ★★★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 - 🤍 | 🤍 Artificial Intelligence - 🤍 | 🤍 MERN Stack E-Degree Program - 🤍 | 🤍 DevOps E-degree - 🤍 | 🤍 Data Analytics with R - 🤍 | 🤍 AWS Certification Training - 🤍 | 🤍 Projects in Java - 🤍 | 🤍 Machine Learning With TensorFlow - 🤍 | 🤍 Angular 8 - Complete Essential Guide - 🤍 Kotlin Android Development Masterclass - 🤍 Learn iOS Programming Building Advance Projects - 🤍 ★★★ Follow ★★★ My Website - 🤍 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!

Traffic Speed Radar (OpenCV/Image Processing)

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This video is my project for a traffic speed radar using (Python, OpenCV) . Here's the link to the codes: GitHub Link : 🤍

Practical OpenCV 3 Image Processing with Python : Extracting Contours from Images | packtpub.com

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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [🤍 In this video, we will segment binary images by extracting contours of arbitrary shapes and sizes. • Find and draw contours in a binary Image • Fit polygons to contours to approximate their shape • Use Hu moments to match contours For the latest Application development video tutorials, please visit 🤍 Find us on Facebook 🤍 Follow us on Twitter - 🤍

Image Processing using OpenCV | Part 12 | Building a Cropping Tool

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Like my content? Consider supporting the channel. The link is provided below- 🤍

OpenCV Quick Speed Comparison Between CPU and GPU Image Processing (C++))

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2:24 Cut me some slack, its 12AM and I can't do math. By using the transparent API, image processing times can greatly be reduced in OpenCV

Crop images with Opencv and Python

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source code and files: 🤍 In this video tutorial, we will see how to easily and quickly crop images, or a portion of an image using Opencv and Python. ➤ Full Video courses: Object Detection: 🤍 ➤ Follow me on: Instagram: 🤍 LinkedIn: 🤍 ➤ For business inquiries: 🤍 #opencv #crop #images

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

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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: 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

How to convert an image into Grayscale with Image Processing using Opencv and C# - EP 3

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Hi, Welcome back NETIZENS! This is Episode Number - 3 Which is based on: 1. C# Window Application Interface Designing 2. Load an Image into workspace and Display 3. How to convert an image into Grayscale using Image Processing with Open CV C# Visual Studio Link to Download DLL Files: 🤍 Unzip the Winrar with the Password given in the Video In the coming episode, I'll explain some other Image processing techniques with OpenCV and C# Stay tuned NETIZENS! Link to the Previous Episode 2: 🤍 Please Subscribe and share with your friends Happy Coding with NR TechStudio Good Luck! #grayscale #imageprocessing #opencv #csharp #visualstudio

Image Processing using OpenCV | Part 4 | Playing with RGB Color Channels

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Like my content? Consider supporting the channel. The link is provided below- 🤍

Automatic attendance system using python and image processing || Python/OpenCV/Excel file ||

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#image_processing #face_detection #Automatic_attendance_system #face_recognition #AI #Machine_Learning Hello and welcome friends... It's me - Debashis Chatterjee (B.Tech, ECE). I have developed a project - Automatic attendance system using image processing THIS IS A DEMO VIDEO I used - 1)Python (V3) 2) OpenCV 3) Web Cam 4) Excel File This project has 4 parts - 1) Data set collection 2) Training data set 3) Recognition 4) XL-write (Update attendance in excel sheet) Download code: 🤍 Thank you for watching my video. I hope you like it. - For more details - 🤍 Array in C programming - 🤍 Array example - 🤍 Multidimensional array in c programming - 🤍 To get JOB updates please visit my website- 🤍techjee.net To get latest job updates subscribe my channel Techjee 🤍 You can also LIKE my facebook page Techjee 🤍 Visit my website for more JOB updates - 🤍 - Track : Electro-Light - Symbolism [NCS Release] Song : Symbolism Artist : Electro-Light Music provided by NoCopyrightSounds Watch : 🤍 Free Download / Stream: 🤍 - LIKE SHARE SUBSCRIBE

Crack Detection using OpenCV and Python |Crack detection image processing | Image Processing

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Peoject: Crack Detection in images Demonstration of Crack Detection using Python IDE. Steps: Step1: Remove the inhomogeneous background illumination. Step2: Apply a big gaussian blurring and subtract the original image from the blurred one. Step3: Apply Sobel edge detection and a morphological close. Step4: Remove the noise using blob analysis (e.g. remove regions with small areas). Note: In principle, you have to convert the image between 0 and 1 before GaussianBlur. Additionally to get better results you also can apply a non-maximal suppression after Sobel. Source Code & Link: 🤍 #Crackdetectionusingpython, #Python, #Sobeledgedetection, #Crackdetectionmethods, #Crackdetectionusingimageprocessing, #Crackdetection * For More Videos: ● Face Recognition based Attendance System 🤍 ● Vehicle Detection And Counting Using Python 🤍 ● Real-Time Face recognition 🤍 ●Smile Detector Using python 🤍 ●Face and Eye detection Using python 🤍 ●Fire detection using python. 🤍 ●Bird Detection Using python 🤍 ●Student Management System Using Python and SQL 🤍 ● Python Tutorial In Detail 🤍 ● Data Visualisation Running Graph 🤍 ● Computer Hacks and Tricks 🤍 * Follow Me Here For More Help or Queries Facebook - 🤍 Instagram - 🤍 * SUBSCRIBE NOW for weekly videos on Python Tutorial, Computer Hacks and Tricks, Data Visualisation, Technology, and Many More.

Cartoon Effect on Image using OpenCV | Machine Learning Project 8 | ML Training | Edureka

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🔥 Edureka Machine Learning Certification training (Use Code: YOUTUBE20) : 🤍 This Edureka video on 'Cartoon Effect on Image using OpenCV' will give you an overview of Cartoon Effect on Image using Machine Learning and will help you understand various important concepts that concern Cartoon Effect on Image with ML. Following pointers are covered in this Cartoon Effect on Image using OpenCV: 1) Introduction 2) Tools and Frameworks 3) Project 🔹Checkout Edureka's Machine Learning Project playlist: 🤍 🔹Checkout Edureka's Machine Learning Python Tutorial playlist: 🤍 🔹Checkout Edureka's Machine Learning R Tutorial Playlist: 🤍 🔹Checkout Edureka's Machine Learning Tutorial Blog Series: 🤍 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 Facebook: 🤍 SlideShare: 🤍 Castbox: 🤍 Meetup: 🤍 -Edureka Machine Learning Projects- 🔵 Plant Leaf Disease Detection with GUI: 🤍 🔵 House Price Prediction using ML: 🤍 🔵 Emoji Prediction using LSTM: 🤍 🔵 Color old photographs using Autoencoders: 🤍 🔵 Handwritten Digit Recognition on MNIST dataset: 🤍 🔵 Generate Images Using DC-Gan's: 🤍 🔵 Building Document Scanner Using OpenCV: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧- 🔵 Data Science Online Training: 🤍 🟣 Python Online Training: 🤍 🔵 AWS Online Training: 🤍 🟣 RPA Online Training: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬- 🟣Machine Learning Engineer Masters Program: 🤍 🟣Cloud Architect Masters Program: 🤍 🔵Data Scientist Masters Program: 🤍 🟣Big Data Architect Masters Program: 🤍 🔵Business Intelligence Masters Program: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏GD 𝐂𝐨𝐮𝐫𝐬𝐞- 🔵Artificial and Machine Learning PGD: 🤍 #edureka #edurekamachinelearning #machinelearning #CartoonEffectonImageusingOpenCV #machinelearningproject #machinelearningtutorial #edurekatraining About the Course : Edureka’s Machine Learning Course using Python is designed to make you grasp 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 the 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. Why Learn Machine Learning with Python? Data Science is a set of techniques that enables 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. Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. 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 | Image Processing basics using opencv | Python Open CV Tutorial in Tamil

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This Python Tutorial video on OpenCV explains all the basics of OpenCV. It also explains how to load images and cobner it into grayscale. How to install pip 🤍

Remove noise from image Python | OpenCV noise reduction | Image processing | Data Magic

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Hello Friends, In this episode we are going to remove the noise from masked image so we can focus on our Region Of Interest(ROI) and ignore the all noise in the image content. Noise reduction is very important when we are working on computer vision project as its reduces the complexity and time of processing as well as it helps to generate the better model prediction results. Remove noise from image Python | OpenCV noise reduction | Image processing | Data Magic Time Code 00:01 Introduction 00:18 Masked Image 01:11 Remove Noise from image Implementation 02:10 Find Contours -Draw outline for each object of interest 04:38 Highlight objects of our interest 06:01 Remove noise from image 08:46 Live demo #OpenCVNoiseReduction #ImageProcessing #computervision Please Like, Comment, Share and Subscribe!!! Connect with me, YouTube : 🤍 Facebook : 🤍 Instagram : 🤍 Twitter : 🤍 For Business Inquiries : datamagic2020🤍gmail.com This episode can answer below queries, Remove noise from masked image using openCV, remove noise from image python, noise reduction python, remove noise from image, noise reductuin openCV, OpenCV noise reduction, OpenCv image processing, ignore noise in image, reduce noise in image

#17 OPENCV-PYTHON | Image Sharpening, Noise Reduction, Blur | Gaussian, Median, Bilateral FILTERING

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00:16:35
01.08.2021

Learn about Image Blurring, Sharpening and Noise Reduction in this Video. The mathematics behind various methods will be also covered. Many doubts regarding interviews and mathematical backgrounds of various transformation in Image Processing are covered. Here we will study about : ✅ Blurring using - GaussianBlur( ) , blur( ) and boxFilter( ) functions ✅ Sharpening the image. ✅ Noise Reduction using medianBlur( ) and Bilateral Filtering. 🔥🔥 BE ▶ ""SUBSCRIBED"" FOR UPCOMING CONTENT ON COURSE and press 🔔 "BELL ICON" for upcoming video notification 🔥🔥 😄 My Profiles Instagram handle : 🤍 LinkedIn : 🤍 My Blog : 🤍 Github : 🤍 (Do 💟 follow me on Instagram for projects on : Android Development, Computer Vision, Machine Learning and Deep learning) OPENCV PYTHON : Zero to One series Link : 🤍 COMPUTER VISION PROJECTS PLAYLIST (ALL PROJECTS EXPLAINED) : 🤍 Opencv python tutorials, python opencv course, opencv in hindi, Opencv Python imageprocessing, blur, gaussian blur, bilateral filtering, Sharpening Image, sharp image opencv, gaussian blur, median blur, median blurring, median blur using opencv, median blur cv2 #opencv #opencvpython #imageprocessing

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