Udemy - Learn OpenCV for Computer Vision

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Udemy - Learn OpenCV for Computer Vision (Size: 2.4 GB)
  1. Cartoonify.mp4 43.1 MB
  1. Course Conclusion.mp4 28.8 MB
  1. Course Introduction.mp4 71.7 MB
  1. Edge Detection.mp4 52.2 MB
  1. Fundamentals of Image Processing.mp4 50.6 MB
  1. Installing Anaconda Distribution.mp4 38.1 MB
  1. Morphological Transformations.mp4 35.6 MB
  1. Simple Thresholding.mp4 64 MB
  1. What is Arithmetic Operation.mp4 22.7 MB
  1. What is Computer Vision.mp4 65.5 MB
  1. What is Feature Matching.mp4 40.3 MB
  1. What is Image Resizing.mp4 17.7 MB
  1. What is Image Segmentation.mp4 38.9 MB
  1. What is Motion Detection.mp4 44.5 MB
  10. Region of Interest.mp4 20.4 MB
  11. Region of Interest (Jupyter).mp4 41.7 MB
  12. Fundamentals of OpenCV.html 102.4 B
  2. Applications of Computer Vision.mp4 57.2 MB
  2. Course Outline.mp4 26.8 MB
  2. Edge Detection (Jupyter).mp4 89.8 MB
  2. Handling Jupyter Notebooks 1.mp4 21.4 MB
  2. Image Resizing (Jupyter).mp4 65.4 MB
  2. Morphological Transformations - Initial Setup (Jupyter).mp4 20.3 MB
  2. Reading Images.mp4 22.9 MB
  2. Simple Thresholding (Jupyter).mp4 31.5 MB
  2. Understanding Cluster based Segmentation.mp4 44.1 MB
  2. Understanding Dense Optical Flow.mp4 16.5 MB
  2. Understanding HOG.mp4 27.8 MB
  2. What is Image Blending.mp4 20.2 MB
  3. Dense Optical Flow (Jupyter).mp4 63.4 MB
  3. Difference between Computer Vision & DIP.mp4 25.8 MB
  3. Edge Detection.html 102.4 B
  3. Feature Matching - Using HOG (Jupyter).mp4 77.5 MB
  3. Handling Jupyter Notebooks 2.mp4 23.5 MB
  3. Image Blending (Jupyter).mp4 35.5 MB
  3. Image Segmentation (Jupyter).mp4 70 MB
  3. Understanding Erosion and Dilation.mp4 37.7 MB
  3. Video Loading.mp4 44.1 MB
  3. What is Image Blurring.mp4 76.4 MB
  3. What is Noise in an Image.mp4 42.1 MB
  4. Changing Color Spaces.mp4 12 MB
  4. Feature Extraction.html 102.4 B
  4. Handling Jupyter Notebooks 3.mp4 18.9 MB
  4. Image Blurring (Jupyter).mp4 16.9 MB
  4. Image Segmentation.html 102.4 B
  4. Morphological Transformations - Erosion & Dilation (Jupyter).mp4 42.9 MB
  4. Motion Detection.html 102.4 B
  4. Sobel Filter-Using Gradients.mp4 20 MB
  4. Tools for Computer Vision.mp4 55.7 MB
  4. What is Image Subtraction.mp4 13.2 MB
  5. Changing Color Spaces (Jupyter).mp4 63.1 MB
  5. Handling Jupyter Notebooks 4.mp4 23.4 MB
  5. Image Subtraction (Jupyter).mp4 17 MB
  5. Introduction to Computer Vision.html 102.4 B
  5. Sobel filter-Using Gradients (Jupyter).mp4 38.1 MB
  5. Understanding Morphological Techniques.mp4 37.9 MB
  5. What is Image Pyramid.mp4 32.1 MB
  6. Handling Jupyter Notebooks 5.mp4 15.8 MB
  6. Image Pyramid (Jupyter).mp4 36.4 MB
  6. Laplacian Filter-Using Gradients.mp4 14.3 MB
  6. Morphological Transformations - Opening & Closing (Jupyter).mp4 41.4 MB
  6. Pixel Manipulation.mp4 59.1 MB
  6. What is Bitwise Operation.mp4 51.7 MB
  7. Bitwise Operation (Jupyter).mp4 69.1 MB
  7. Image Processing - Image Manipulation.html 102.4 B
  7. Installation of OpenCV.mp4 23.9 MB
  7. Laplacian Filter-Using Gradients (Jupyter).mp4 32.2 MB
  7. Morphological Operations.html 102.4 B
  7. Pixel Manipulation - Initial Setup (Jupyter).mp4 14.1 MB
  8. Image Processing - Arithmetic Operations.html 102.4 B
  8. Image Thresholding & Filtering.html 102.4 B
  8. Pixel Manipulation - Operation 1 (Jupyter).mp4 36.1 MB
  9. Pixel Manipulation - Operation 2 (Jupyter).mp4 53 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 75 total files

Description


Learn OpenCV for Computer Vision

https://DevCourseWeb.com

Published 12/2023
Created by Prag Robotics
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 63 Lectures ( 4h 3m ) | Size: 2.4 GB

Learn CV tool perform hands-on in all essential topics

What you'll learn:
To study the process of Image formation and Image manipulation
To study about image processing
To impart knowledge on image enhancement techniques
To understand the significance of vision in robotics
To understand the process of integrating intelligence in Vision

Requirements:
Basic knowledge of Programming
Knowledge in Python Programming Language
Basic Understanding of Computer Vision

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