reference-image-yolo.md

Reference:Image: YOLO

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sample code with main js here

• YOLO (You Only Look Once) is a real-time object detection system

• single NN is applied to full image, it divides image into regions and predict bounding boxes with probabilities for each region

• this is inspired from ModelDepot/tfjs-yolo-tiny

• initializing using const yolo = ml5.YOLO(); or ml5.YOLO(video) or ml5.YOLO(video, ?options, ?callback) or ml5.YOLO(?options, ?callback)

• video: optional, an HTML video element or p5 video element

• options: optional, object describing modele accuracy and performance; for MobileNet these are { filterBoxesThreshold: 0.01, IOUThreshold: 0.4, classProbThreshold: 0.4 }

callback: optional, function to run on model load; returns promise if no callback provided which gets resolved as soon model gets loaded

• YOLO object has attributes .isPredicting and .modelReady

• Methods available are .detect()

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