Category: Computer Programming Tutorials

code – https://gist.github.com/pknowledge/baa1e9785d818e70be78f7ac5795ee51
In this video on OpenCV Python Tutorial For Beginners, we are going to see Probabilistic Hough Transform using HoughLinesP method in OpenCV.
OpenCV implements two kind of Hough Line Transforms
The Standard Hough Transform (HoughLines method)
The Probabilistic Hough Line Transform (HoughLinesP method) lines=cv.HoughLinesP(image, rho, theta, threshold[, lines[, minLineLength[, maxLineGap]]]) rho : Distance resolution of the accumulator in pixels. theta: Angle resolution of the accumulator in radians. threshold:Accumulator threshold parameter. Only those lines are returned that get enough votes ( greater then threshold ). minLineLength : Minimum length of line. Line segments shorter than this are rejected.
maxLineGap : Maximum allowed gap between line segments to treat them as a single line. 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. References:
https://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.html
https://docs.opencv.org/4.0.0/d6/d10/tutorial_py_houghlines.html
http://aishack.in/tutorials/hough-transform-basics/
https://en.wikipedia.org/wiki/Hough_transform #ProgrammingKnowledge #ComputerVision #OpenCV
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My Website – http://www.codebind.com 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!

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Learn React by building a beach resort website project. The project uses React router for routing, React context API for state management, Contentful headless CMS for data management, and Netlify to host the application. ? Setup Files: https://github.com/john-smilga/setup-files-react-beach-resort
? Finished Project: https://github.com/john-smilga/react-beach-resort-project ? Tutorial from Coding Addict. Check out the Coding Addict YouTube channel: https://www.youtube.com/codingaddict ? React Udemy course from Coding Addict: https://www.udemy.com/react-tutorial-and-projects-course/?couponCode=REACTJSONLYTEN — Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://www.freecodecamp.org/news And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp

code – https://gist.github.com/pknowledge/62ad0d100d6d4df756c0374dee501131 In this video on OpenCV Python Tutorial For Beginners, we are going to see Hough Line Transform using HoughLines method in OpenCV.
OpenCV implements two kind of Hough Line Transforms
The Standard Hough Transform (HoughLines method)
The Probabilistic Hough Line Transform (HoughLinesP method) lines = cv.HoughLines(image, rho, theta, threshold) image : source image.
lines : Output vector of lines. Each line is represented by a 2 or 3 element vector (ρ,θ) or (ρ,θ,votes) . ρ is the distance from the coordinate origin (0,0) (top-left corner of the image). θ is the line rotation angle in radians . votes is the value of accumulator.
rho : Distance resolution of the accumulator in pixels.
theta : Angle resolution of the accumulator in radians.
threshold : Accumulator threshold parameter. Only those lines are returned that get enough votes ( greater then threshold ). 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. References:
https://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.html
https://docs.opencv.org/4.0.0/d6/d10/tutorial_py_houghlines.html
http://aishack.in/tutorials/hough-transform-basics/
https://en.wikipedia.org/wiki/Hough_transform #ProgrammingKnowledge #ComputerVision #OpenCV
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My Website – http://www.codebind.com 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!

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? The Cyber Mentor on Twitter: https://twitter.com/thecybermentor ⭐️ Course Contents ⭐️
⌨️ (0:00) – Course Introduction/whoami
⌨️ (6:12) – Part 1: Introduction, Notekeeping, and Introductory Linux
⌨️ (1:43:45) – Part 2: Python 101
⌨️ (3:10:05) – Part 3: Python 102 (Building a Terrible Port Scanner)
⌨️ (4:23:14) – Part 4: Passive OSINT
⌨️ (5:41:41) – Part 5: Scanning Tools & Tactics
⌨️ (6:56:42) – Part 6: Enumeration
⌨️ (8:31:22) – Part 7: Exploitation, Shells, and Some Credential Stuffing
⌨️ (9:57:15) – Part 8: Building an AD Lab, LLMNR Poisoning, and NTLMv2 Cracking with Hashcat
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⌨️ (12:40:46) – Part 10: MS17-010, GPP/cPasswords, and Kerberoasting
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In this video on OpenCV Python Tutorial For Beginners, we are going to understand the concept of the Hough Transform and Hough Line Transform Theory. 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. References:
https://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.html
https://docs.opencv.org/4.0.0/d6/d10/tutorial_py_houghlines.html
http://aishack.in/tutorials/hough-transform-basics/
https://en.wikipedia.org/wiki/Hough_transform #ProgrammingKnowledge #ComputerVision #OpenCV
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