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Building Computer Vision Applications with Python

سرفصل های دوره

Image processing is a ubiquitous technology these days, used in just about every feature of smartphone cameras, in video games, social media apps, graphics software, and much more. Computer vision is the field of science that makes it possible for computers to not just capture images, but to process, analyze, and understand digital images. In this course, Eduardo Corpeño shows you how to use Python to write image processing operations of your own from scratch, to get a deeper understanding of the under-the-hood operations of image processing and popular tools like OpenCV. Eduardo shows you how to tap into the details of the algorithms behind image processing so you can understand what’s going on inside and make better use of these tools in the future. He also provides programming challenges so you can create your own implementations and compare your work with his solutions.


01 - Introduction
  • 01 - Computer vision under the hood
  • 02 - What you should know
  • 03 - Using the exercise files

  • 02 - 1. Setting Up Your Environment
  • 01 - Installing Anaconda and OpenCV
  • 02 - Testing your environment

  • 03 - 2. The Basics of Image Processing
  • 01 - Image representation
  • 02 - Color encoding
  • 03 - Image file management
  • 04 - Resolution
  • 05 - Rotations and flips
  • 06 - Challenge Manipulate some pictures
  • 07 - Solution Manipulate some pictures

  • 04 - 3. From Color to Black and White
  • 01 - Average grayscale
  • 02 - Weighted grayscale
  • 03 - Converting grayscale to black and white
  • 04 - Adaptive thresholding
  • 05 - Challenge Removing color
  • 06 - Solution Removing color

  • 05 - 4. Filters
  • 01 - Convolution filters
  • 02 - Average filters
  • 03 - Median filters
  • 04 - Gaussian filters
  • 05 - Edge detection filters
  • 06 - Challenge Convolution filters
  • 07 - Solution Convolution filters

  • 06 - 5. Image Scaling
  • 01 - Image downscaling methods
  • 02 - Downscaling example
  • 03 - Image upscaling methods
  • 04 - Upscaling example
  • 05 - Challenge Resize a picture
  • 06 - Solution Resize a picture

  • 07 - 6. Fun with Cuts
  • 01 - Image cuts
  • 02 - Stitching two images together
  • 03 - Cuts in panoramic photography
  • 04 - Challenge Stitch two pictures together
  • 05 - Solution Stitch two pictures together

  • 08 - 7. Morphological Modifications
  • 01 - Why modify objects
  • 02 - Erosion and dilation
  • 03 - Open and close
  • 04 - Challenge Help a robot
  • 05 - Solution Help a robot

  • 09 - Conclusion
  • 01 - Next steps
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