sergiud/hogpp
Fast computation of rectangular histogram of oriented gradients (R-HOG) features using integral histogram
This tool helps computer vision engineers and researchers quickly extract distinctive visual patterns from images. You feed it an image, and it efficiently calculates 'Histogram of Oriented Gradients' (HOG) features for specific areas within that image, which are numerical descriptions of local shape and texture. This is especially useful for tasks like object detection or image classification.
Use this if you need to rapidly and repeatedly extract HOG features from different regions of an image, particularly when your input images or desired regions don't perfectly align with common library constraints.
Not ideal if you only need to compute HOG features once for an entire image, or if you are already satisfied with the performance and flexibility of existing computer vision libraries like OpenCV.
Stars
12
Forks
1
Language
C++
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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