The Image Processing and Computer Vision world is too big to comprehend. It has been backbone of many industry including Deep Learning. It is used across multiple places. As practitioner, I am trying to bring many relevant topics under one umbrella in following topics.
1. Image Processing with Python (skimage) (90% hands on and 10% theory)
2. Image Processing and Computer Vision with OpenCV (90% hands on and 10% theory)
3. Morphological operations with OpenCV (90% hands on and 10% theory)
4. Face detection with OpenCV (90% hands on and 10% theory)
5. Feature detection with OpenCV (90% hands on and 10% theory)
6. Image matching with skimage (90% hands on and 10% theory)
7. Object detection with OpenCV (90% hands on and 10% theory)
8. Digit recognition with OpenCV (90% hands on and 10% theory)
9. Autonomous vechile detection and movement. (90% hands on and 10% theory)
10. Deep learning concepts useful for Image Processing and Computer Vision. (90% hands on and 10% theory)
11. Python practice from Data Science point of view. (90% hands on and 10% theory)
12. The assignment will make you hands-on in Image Processing and Computer Vision.
13. ML practice useful for Image Processing and Computer Vision. (90% hands on and 10% theory)
14. Many other useful topics in Image Processing and Computer Vision. (90% hands on and 10% theory)
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