Building Computer Vision Applications with Python

Get a deeper understanding of computer vision by creating your own image processing applications in Python.

Introduction

• Computer vision under the hood
• What you should know
• Using the exercise files

1. Setting Up Your Environment

• Installing Anaconda and OpenCV
• Testing your environment

2. The Basics of Image Processing

• Image representation
• Color encoding
• Image file management
• Resolution
• Rotations and flips
• Challenge: Manipulate some pictures
• Solution: Manipulate some pictures

3. From Color to Black and White

• Average grayscale
• Weighted grayscale
• Converting grayscale to black and white
• Adaptive thresholding
• Challenge: Removing color
• Solution: Removing color

4. Filters

• Convolution filters
• Average filters
• Median filters
• Gaussian filters
• Edge detection filters
• Challenge: Convolution filters
• Solution: Convolution filters

5. Image Scaling

• Image downscaling methods
• Downscaling example
• Image upscaling methods
• Upscaling example
• Challenge: Resize a picture
• Solution: Resize a picture

6. Fun with Cuts

• Image cuts
• Stitching two images together
• Cuts in panoramic photography
• Challenge: Stitch two pictures together
• Solution: Stitch two pictures together

7. Morphological Modifications

• Why modify objects?
• Erosion and dilation
• Open and close
• Challenge: Help a robot
• Solution: Help a robot

Conclusion

• Next steps