Non-Maximum Suppression in PyTorch: How to Select the Correct Bounding Box

In certain scenarios, object detection algorithms such as YOLO, Faster R-CNN, and SSD may generate redundant and overlapping bounding boxes. Therefore, to ensure accurate detection results and retain only the most confident ones, it is crucial to implement a mechanism capable of identifying and selecting the most appropriate bounding boxes while discarding the overlapping ones. To achieve this objective, we can use a method called Non-Maximum Suppression (NMS), a post-processing…

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