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| import gi |
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| gi.require_version("Gst", "1.0") |
| gi.require_version("GstAnalytics", "1.0") |
| from gi.repository import Gst, GLib, GstAnalytics |
|
|
| Gst.init([]) |
|
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| INPUT_VIDEO = "test_video.mp4" |
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| MODEL = "yolo26n" |
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| |
| 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=person ! " |
| "videoconvert ! video/x-raw,format=I420 ! " |
| "openh264enc ! h264parse ! " |
| "mp4mux ! filesink name=sink location=output_dlstreamer.mp4" |
| ) |
| pipeline = Gst.parse_launch(pipeline_str) |
|
|
| sink = pipeline.get_by_name("sink") |
| sink_pad = sink.get_static_pad("sink") |
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|
| 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 |
| crowd_count = 0 |
| idx = 1 |
| while True: |
| ok, od = rmeta.get_od_mtd(idx) |
| if not ok: |
| break |
| if GLib.quark_to_string(od.get_obj_type()) == "person": |
| crowd_count += 1 |
| idx += 1 |
| if crowd_count: |
| print(f"Crowd count: {crowd_count}", flush=True) |
| return Gst.PadProbeReturn.OK |
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| sink_pad.add_probe(Gst.PadProbeType.BUFFER, on_buffer) |
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| 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) |
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|
