# SPDX-License-Identifier: MIT # Copyright (C) Intel Corporation # # Vehicle Detection: DLStreamer pipeline sample. # See README.md for prerequisites and inputs. Run: python3 dlstreamer_sample.py import gi gi.require_version("Gst", "1.0") gi.require_version("GstAnalytics", "1.0") from gi.repository import Gst, GLib, GstAnalytics Gst.init([]) INPUT_VIDEO = "test_video.mp4" VEHICLE_LABELS = {"car", "motorcycle", "bus", "truck"} # Select the model: "yolo26n" (default) or "detr-resnet-50". MODEL = "yolo26n" # For CPU: change device=GPU to device=CPU. # For NPU: change device=GPU to device=NPU (batch-size=1, nireq=4 recommended). pipeline_str = ( f"filesrc location={INPUT_VIDEO} ! decodebin3 ! " "videoconvert ! " f"gvadetect model={MODEL}_openvino_model/{MODEL}.xml " "device=GPU " "threshold=0.4 ! queue ! " "gvawatermark displ-cfg=show-roi=car:motorcycle:bus:truck ! " "videoconvert ! video/x-raw,format=I420 ! " "openh264enc ! h264parse ! " "mp4mux ! filesink name=sink location=output_dlstreamer.mp4" ) pipeline = Gst.parse_launch(pipeline_str) def on_buffer(pad, info): buf = info.get_buffer() rmeta = GstAnalytics.buffer_get_analytics_relation_meta(buf) if rmeta is None: return Gst.PadProbeReturn.OK vehicles = [] idx = 1 while True: ok, od = rmeta.get_od_mtd(idx) if not ok: break label = GLib.quark_to_string(od.get_obj_type()) if label in VEHICLE_LABELS: _, x, y, w, h, conf = od.get_location() vehicles.append((label, int(x), int(y))) idx += 1 if vehicles: print(f"Vehicle count: {len(vehicles)}", flush=True) for label, x, y in vehicles: print(f" {label} at ({x},{y})", flush=True) return Gst.PadProbeReturn.OK sink = pipeline.get_by_name("sink") sink_pad = sink.get_static_pad("sink") sink_pad.add_probe(Gst.PadProbeType.BUFFER, on_buffer) pipeline.set_state(Gst.State.PLAYING) bus = pipeline.get_bus() bus.timed_pop_filtered( Gst.CLOCK_TIME_NONE, Gst.MessageType.EOS | Gst.MessageType.ERROR, ) pipeline.set_state(Gst.State.NULL)