January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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What is a dense feature detector?
In order to extract a meaningful amount of information from the images, we need to make sure our feature extractor extracts features from all parts of a given image. Consider the following image:
If you extract features using a feature extractor as we did in Chapter 5, Extracting Features from an Image, it will look like this:
If you used to use the cv2.FeaturetureDetector_create("Dense") detector, unfortunately, that was removed from OpenCV 3.2 onwards, so we would need to implement our own one iterating over ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.