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دسته بندی دوره ها

Learn OpenCV for Computer Vision

سرفصل های دوره

Learn CV tool perform hands-on in all essential topics


1. About the Program
  • 1. Course Introduction
  • 2. Course Outline

  • 2. Introduction to Computer Vision
  • 1. What is Computer Vision
  • 2. Applications of Computer Vision
  • 3. Difference between Computer Vision & DIP
  • 4. Tools for Computer Vision
  • 5. Introduction to Computer Vision.html

  • 3. Software Installation
  • 1. Installing Anaconda Distribution
  • 2. Handling Jupyter Notebooks 1
  • 3. Handling Jupyter Notebooks 2
  • 4. Handling Jupyter Notebooks 3
  • 5. Handling Jupyter Notebooks 4
  • 6. Handling Jupyter Notebooks 5
  • 7. Installation of OpenCV

  • 4. Fundamentals of OpenCV
  • 1. Fundamentals of Image Processing
  • 2. Reading Images
  • 3. Video Loading
  • 4. Changing Color Spaces
  • 5. Changing Color Spaces (Jupyter)
  • 6. Pixel Manipulation
  • 7. Pixel Manipulation - Initial Setup (Jupyter)
  • 8. Pixel Manipulation - Operation 1 (Jupyter)
  • 9. Pixel Manipulation - Operation 2 (Jupyter)
  • 10. Region of Interest
  • 11. Region of Interest (Jupyter)
  • 12. Fundamentals of OpenCV.html

  • 5. Image Processing - Image Manipulation
  • 1. What is Image Resizing
  • 2. Image Resizing (Jupyter)
  • 3. What is Image Blurring
  • 4. Image Blurring (Jupyter)
  • 5. What is Image Pyramid
  • 6. Image Pyramid (Jupyter)
  • 7. Image Processing - Image Manipulation.html

  • 6. Image Processing - Arithmetic Operations
  • 1. What is Arithmetic Operation
  • 2. What is Image Blending
  • 3. Image Blending (Jupyter)
  • 4. What is Image Subtraction
  • 5. Image Subtraction (Jupyter)
  • 6. What is Bitwise Operation
  • 7. Bitwise Operation (Jupyter)
  • 8. Image Processing - Arithmetic Operations.html

  • 7. Edge Detection
  • 1. Edge Detection
  • 2. Edge Detection (Jupyter)
  • 3. Edge Detection.html

  • 8. Morphological Operations
  • 1. Morphological Transformations
  • 2. Morphological Transformations - Initial Setup (Jupyter)
  • 3. Understanding Erosion and Dilation
  • 4. Morphological Transformations - Erosion & Dilation (Jupyter)
  • 5. Understanding Morphological Techniques
  • 6. Morphological Transformations - Opening & Closing (Jupyter)
  • 7. Morphological Operations.html

  • 9. Image Thresholding & Filtering
  • 1. Simple Thresholding
  • 2. Simple Thresholding (Jupyter)
  • 3. What is Noise in an Image
  • 4. Sobel Filter-Using Gradients
  • 5. Sobel filter-Using Gradients (Jupyter)
  • 6. Laplacian Filter-Using Gradients
  • 7. Laplacian Filter-Using Gradients (Jupyter)
  • 8. Image Thresholding & Filtering.html

  • 10. Image Segmentation
  • 1. What is Image Segmentation
  • 2. Understanding Cluster based Segmentation
  • 3. Image Segmentation (Jupyter)
  • 4. Image Segmentation.html

  • 11. Feature Extraction
  • 1. What is Feature Matching
  • 2. Understanding HOG
  • 3. Feature Matching - Using HOG (Jupyter)
  • 4. Feature Extraction.html

  • 12. Motion Detection
  • 1. What is Motion Detection
  • 2. Understanding Dense Optical Flow
  • 3. Dense Optical Flow (Jupyter)
  • 4. Motion Detection.html

  • 13. Project
  • 1. Cartoonify

  • 14. About the Program
  • 1. Course Conclusion
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    تاریخ انتشار: 28 فروردین 1403
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