Building Computer Vision Applications with Python

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Eduardo Corpeño

2:00:26

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01 - Introduction

01 - Computer vision under the hood.mp4

01:11

02 - What you should know.mp4

01:23

03 - Using the exercise files.mp4

00:57

02 - 1. Setting Up Your Environment

01 - Installing Anaconda and OpenCV.mp4

01:06

02 - Testing your environment.mp4

03:44

03 - 2. The Basics of Image Processing

01 - Image representation.mp4

04:10

02 - Color encoding.mp4

03:14

03 - Image file management.mp4

06:35

04 - Resolution.mp4

03:05

05 - Rotations and flips.mp4

02:11

06 - Challenge Manipulate some pictures.mp4

02:37

07 - Solution Manipulate some pictures.mp4

02:56

04 - 3. From Color to Black and White

01 - Average grayscale.mp4

03:51

02 - Weighted grayscale.mp4

01:41

03 - Converting grayscale to black and white.mp4

03:20

04 - Adaptive thresholding.mp4

05:02

05 - Challenge Removing color.mp4

01:00

06 - Solution Removing color.mp4

01:15

05 - 4. Filters

01 - Convolution filters.mp4

04:25

02 - Average filters.mp4

03:08

03 - Median filters.mp4

05:19

04 - Gaussian filters.mp4

02:06

05 - Edge detection filters.mp4

04:21

06 - Challenge Convolution filters.mp4

01:29

07 - Solution Convolution filters.mp4

01:26

06 - 5. Image Scaling

01 - Image downscaling methods.mp4

02:07

02 - Downscaling example.mp4

03:24

03 - Image upscaling methods.mp4

01:52

04 - Upscaling example.mp4

03:50

05 - Challenge Resize a picture.mp4

01:01

06 - Solution Resize a picture.mp4

01:24

07 - 6. Fun with Cuts

01 - Image cuts.mp4

04:02

02 - Stitching two images together.mp4

08:06

03 - Cuts in panoramic photography.mp4

03:16

04 - Challenge Stitch two pictures together.mp4

01:15

05 - Solution Stitch two pictures together.mp4

01:41

08 - 7. Morphological Modifications

01 - Why modify objects.mp4

05:07

02 - Erosion and dilation.mp4

04:15

03 - Open and close.mp4

02:18

04 - Challenge Help a robot.mp4

02:43

05 - Solution Help a robot.mp4

01:45

09 - Conclusion

01 - Next steps.mp4

00:48

Description

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.

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Python

Computer Vision

Eduardo Corpeño

Instructor's Courses

Electrical and Computer Engineer with over 20 years of experience as an instructor and mentor at a leading technology university. Passionate about excellence and robust solutions that can solve problems efficiently. An embedded systems instructor experienced on the leading industry technologies in both commercial and open architectures. A seasoned programmer in a handful of the most industry relevant programming languages, not afraid of learning others quickly. Passionate about online education since 2011, having authored and produced over 30 online courses ranging from basic programming to AI applications and embedded systems.

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