FME Transformer Gallery
RasterObjectDetector
Accepts a raster input and outputs rectangular geometries outlining the detected object(s). The transformer uses OpenCV’s Cascade Classifier for object detection and allows for selection of various object types and detection models or classifiers. Each classifier is trained to detect a specific object, for instance: human bodies, faces and eyes. Multiple classifiers can to be used in the same transformer on the same source raster(s) to produce different sets of results, grouped by detection model.
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