Learning OpenCV 5 Computer Vision with Python Fourth Edition by Joseph Howse Joe Minichino
Author:Joseph Howse Joe Minichino
Language: eng
Format: epub
Publisher: PacktPub
Published: 2024-04-20T13:36:14+00:00
For each test image, we iterate over the pyramid levels, and for each pyramid level, we iterate over the sliding window positions. For each window or region of interest ( ROI ), we extract BoW descriptors and classify them using the SVM. If the classification produces a positive result that passes a certain confidence threshold, we add the rectangle's corner coordinates and confidence score to a list of positive detections. Continuing from the previous code block, we proceed to handle a given test image with the following code:
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Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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