Guided Project: IBMSkillsNetwork GPXX01QSEN
After completing this project, i will be able to:
- Confidently navigate and manipulate images using popular Python libraries such as
OpenCV, andMatplotlib. - Load images with
OpenCVand plot them usingMatplotlib, giving you a deeper understanding of image processing techniques. - Combine two images side-by-side with
Pillowin Python, opening up endless creative possibilities for image manipulation. - Convert images into grayscale and its RGB (Red,Green,Blue) channels, allowing you to experiment with different color schemes and tones.
- Use indexing of
Numpyarrays to crop and manipulate images, providing you with even more creative control over your image processing projects.
Here are some real-life applications of the skills learned in this project:
- Image editing and manipulation: By using the techniques learned in this project, users can edit and manipulate images to create new artworks, edit photographs, and add visual effects to videos.
- Computer vision and machine learning: The techniques learned in this project can be applied to preprocess and manipulate images used in computer vision and machine learning applications, such as image recognition, object detection, and segmentation.
For this project, we will be using the following libraries:
osfor interacting with file system paths.cv2for performing image processing and computer vision tasks.matplotlibfor displaying images.
You can use Any type of images, Here i have taken my own images:
