Image Processing and Computer Vision with Python & OpenCV – Shiv Onkar Deepak Kumar

Keywords List

and

with

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90

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theory

detection

skimage

operations

Summary

• What you'll learn Image Processing with Python (skimage) (90% hands on and 10% theory) Image Processing and Computer Vision with OpenCV (90% hands on and 10% theory) Morphological operations with OpenCV (90% hands on and 10% theory) Face detection with OpenCV (90% hands on and 10% theory) Feature detection with OpenCV (90% hands on and 10% theory) Image matching with skimage (90% hands on and 10% theory) Object detection with OpenCV (90% hands on and 10% theory) Digit recognition with OpenCV (90% hands on and 10% theory) Course content 12 sections • 77 lectures • 9h 20m total length Introduction and Foundation sklearn - Image processing opencv - Image processing Morphological operations Face detection Feature detection Image matching Object detection Digit recognition Image segmentation Vehicle detection Miscellaneous Requirements 1.

• Passion for Learning 2.

• NumPy knowledge Description 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.