Thank you Laurens!
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@@ -220,8 +220,16 @@ const convertToYOLOInputFloat32ChannelsFirst = (imageBitmap: ImageBitmap) => {
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*
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* Only detections that exceed a minimum score are returned.
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*
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* @param rows A Float32Array of shape [25200, 16], where each row
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* represents a bounding box.
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* @param rows A Float32Array of shape [25200, 16], where each row represents a
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* face detection.
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*
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* YOLO detects a fixed number of faces, 25200, always from the input it is
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* given. Each detection is a "row" of 16 bytes, containing the bounding box,
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* score, and landmarks of the detection.
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*
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* We prune out detections with a score lower than our threshold. However, we
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* will still be left with some overlapping detections of the same face: these
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* we will deduplicate in {@link removeDuplicateDetections}.
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*/
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const filterExtractDetectionsFromYOLOOutput = (
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rows: Float32Array,
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