This task is used to blur objects in an image.
In the input parameters it is expected:
Only detections with a confidence higher than the one set in this parameter will be used for the rest of the processes.
Accuracy 0, implies that all detections will be evaluated, this may introduce erroneous detections in the process.
Accuracy very close to 1, implies that only the clearest detections for the model will be evaluated, this may bias the detections of valid objects.
By default, the value of 0.2 dramatically decreases anomalous detections and allows enough flexibility to maximize the number of detections.
In the advanced parameters we can configure:
Process by parts: This option allows processing the image by parts, intended for very large images.
Window Width: Measure in pixels of the width of the frame, when processing by parts.
Window Height: Measure in pixels of the height of the frame, when processing by parts.
Overlap Windows: Measurement in pixels, when processed in parts.