Hands-On AI - Image Processing with Python

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Hands-On AI - Image Processing with Python (Size: 356.1 MB)
  01 - Average grayscale.mp4 9.5 MB
  01 - Average grayscale.srt 5.4 KB
  01 - Computer vision under the hood.mp4 4.2 MB
  01 - Computer vision under the hood.srt 1.4 KB
  01 - Convolution filters.mp4 7.4 MB
  01 - Convolution filters.srt 6.3 KB
  01 - Image cuts.mp4 9.1 MB
  01 - Image cuts.srt 5.9 KB
  01 - Image downscaling methods.mp4 3.5 MB
  01 - Image downscaling methods.srt 3.4 KB
  01 - Image representation.mp4 10.8 MB
  01 - Image representation.srt 5.9 KB
  01 - Next steps.mp4 1.4 MB
  01 - Next steps.srt 1.2 KB
  01 - Testing your environment.mp4 8.2 MB
  01 - Testing your environment.srt 4.3 KB
  01 - Why modify objects.mp4 10.6 MB
  01 - Why modify objects.srt 7.5 KB
  02 - Average filters.mp4 10 MB
  02 - Average filters.srt 4.2 KB
  02 - Color encoding.mp4 7.2 MB
  02 - Color encoding.srt 4.2 KB
  02 - Downscaling example.mp4 11.3 MB
  02 - Downscaling example.srt 5.1 KB
  02 - Erosion and dilation.mp4 10 MB
  02 - Erosion and dilation.srt 5.6 KB
  02 - Maintaining a clean notebook workspace.mp4 8.7 MB
  02 - Maintaining a clean notebook workspace.srt 4.9 KB
  02 - Stitching two images together.mp4 36.3 MB
  02 - Stitching two images together.srt 10.4 KB
  02 - Weighted grayscale.mp4 6 MB
  02 - Weighted grayscale.srt 2.5 KB
  02 - What you should know.mp4 2.4 MB
  02 - What you should know.srt 2.4 KB
  03 - Converting grayscale to black and white.mp4 8.8 MB
  03 - Converting grayscale to black and white.srt 4.3 KB
  03 - Cuts in panoramic photography.mp4 7.7 MB
  03 - Cuts in panoramic photography.srt 4.8 KB
  03 - Image file management.mp4 18.3 MB
  03 - Image file management.srt 9.3 KB
  03 - Image upscaling methods.mp4 2.8 MB
  03 - Image upscaling methods.srt 2.9 KB
  03 - Median filters.mp4 20.6 MB
  03 - Median filters.srt 7.5 KB
  03 - Open and close.mp4 7.1 MB
  03 - Open and close.srt 3.3 KB
  03 - Using the exercise files.mp4 11.9 MB
  03 - Using the exercise files.srt 6.1 KB
  04 - Adaptive thresholding.mp4 17.7 MB
  04 - Adaptive thresholding.srt 7.2 KB
  04 - Challenge Help a robot.mp4 7.6 MB
  04 - Challenge Help a robot.srt 3.5 KB
  04 - Challenge Stitch two pictures together.mp4 3 MB
  04 - Challenge Stitch two pictures together.srt 1.7 KB
  04 - Gaussian filters.mp4 7.3 MB
  04 - Gaussian filters.srt 3 KB
  04 - Resolution.mp4 8.4 MB
  04 - Resolution.srt 4.3 KB
  04 - Upscaling example.mp4 10.8 MB
  04 - Upscaling example.srt 6 KB
  05 - Challenge Removing color.mp4 2.6 MB
  05 - Challenge Removing color.srt 1.4 KB
  05 - Challenge Resize a picture.mp4 2.5 MB
  05 - Challenge Resize a picture.srt 1.4 KB
  05 - Edge-detection filters.mp4 12.8 MB
  05 - Edge-detection filters.srt 6.1 KB
  05 - Rotations and flips.mp4 5.4 MB
  05 - Rotations and flips.srt 2.9 KB
  05 - Solution Help a robot.mp4 6.1 MB
  05 - Solution Help a robot.srt 2.1 KB
  05 - Solution Stitch two pictures together.mp4 5.6 MB
  05 - Solution Stitch two pictures together.srt 2.5 KB
  06 - Challenge Convolution filters.mp4 3.9 MB
  06 - Challenge Convolution filters.srt 2 KB
  06 - Challenge Manipulate pictures.mp4 6.4 MB
  06 - Challenge Manipulate pictures.srt 3.7 KB
  06 - Solution Removing color.mp4 3.8 MB
  06 - Solution Removing color.srt 1.6 KB
  06 - Solution Resize a picture.mp4 4.3 MB
  06 - Solution Resize a picture.srt 1.9 KB
  07 - Solution Convolution filters.mp4 5.1 MB
  07 - Solution Convolution filters.srt 1.9 KB
  07 - Solution Manipulate pictures.mp4 8.8 MB
  07 - Solution Manipulate pictures.srt 3.9 KB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 86 total files

Description


Hands-On AI: Image Processing with Python

https://WebToolTip.com

Released: 06/2025
Duration: 2h 10m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 356 MB
Level: Intermediate | Genre: eLearning | Language: English

In this course, Eduardo Corpeño—an electrical engineer, computer programmer, and teacher—helps you build a solid foundation in image processing using Python. Begin by creating and manipulating raster images in different resolutions and formats. Learn to apply various filters and delve into edge detection with Sobel filters to extract meaningful image features. Master image transformations like resizing, and grasp the techniques of object removal and seam carving for effective image stitching. Learn how to refine image details using morphological transformations such as erosion, dilation, opening, and closing. Plus, complete practical challenges like removing noise, adjusting resolution, and enhancing image quality. Whether you're looking to enhance a project or embark on a new career in AI, this course equips you with practical knowledge and techniques to handle images efficiently.

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