Receives the video stream on its sink pad.
Performs the following preprocessing on the stream data. This preprocessing is done when the model expects floating-point values as input.
Color conversion
Scaling (up or down)
Normalization
Loads the model.
Modifies the graph for the chosen delegate.
Receives the tensor stream on its sinkpad.
Runs the inference and produces a tensor stream with the inference results on its source pad.
Receives the inference tensors from the object detection model.
Converts the inference tensors on its sinkpad into formats like video or text that the multimedia plugins can process later.
Applies the threshold to the chosen number of results.
Loads the corresponding modules for detection models.
Loads the YOLOv8 submodule.
Produces results as structures of text.
Sends them to the sinkpad of qtimetamux.
Receives video stream and text stream with bounding box results corresponding to the video stream on its sinkpads.
Produces GST buffers with contents of the video stream from its sink pad.
Adds bounding boxes as GstVideoRegionOfInterest from data sinkpad to GST buffers meta (meta muxing) on its source pad.
Receives the multiplexed stream.
Overlays the bounding boxes on the VideoFrame using CL.
Produces GST buffers with overlays in its source pad.
Receives the video in its sinkpad
Submits the video stream to Weston.
Weston renders the video stream on a local display device.