Final gpu pipeline

src/deepstream/pipelines/deepstream_pipeline_gpu.py

@@ -0,0 +1,186 @@
+import os
+from datetime import datetime
+from typing import Any, Dict, List
+import gi
+import numpy as np
+import cv2
+import pyds
+
+gi.require_version("Gst", "1.0")
+from gi.repository import GLib, Gst
+
+from src.frame_comparison.frame_change_detector import FrameChangeDetector
+from src.model_conversion.onnx_to_trt import build_engine_if_missing
+
+from src.deepstream.helpers.load_class_labels import load_class_labels
+from src.deepstream.helpers.meta_tensor_extractor import TensorExtractor
+from src.deepstream.helpers.softmax_topk_classifier import ClassificationPrediction, SoftmaxTopKClassifier
+from src.deepstream.helpers.plant_msg_meta_builder import NvdsPlantEventBuilder, PlantEvent
+from src.deepstream.helpers.pipeline_runner import run_pipeline
+
+from src.deepstream.probes.background_removal.gpu import gpu_background_probe
+from src.deepstream.probes.db_message_meta_probe import DbMessageMetaProbe
+from src.deepstream.probes.frame_comparison.gpu.frame_skipping_probe import frame_skipping_probe, GPUFrameChangeDetector
+
+# Configuration
+RTSP_PORT = os.environ.get("RTSP_PORT", "8554")
+RTSP_URL = f"rtsp://127.0.0.1:{RTSP_PORT}/test"
+
+CONFIG_FILE: str = "/workspace/configs/resnet18.txt"
+MSGCONV_CONFIG: str = "/workspace/configs/nvmsgbroker_msgconv_config.txt"
+MQTT_CONN_STR = "172.17.0.1;1883;agstream-client"
+MQTT_TOPIC = "deepstream/predictions"
+
+CLASS_LABELS = load_class_labels()
+
+stats: Dict[str, int] = {"total": 0, "skipped": 0, "processed": 0}
+
+def gpu_frame_skip_probe(pad: Gst.Pad, info: Gst.PadProbeInfo, detector: GPUFrameChangeDetector) -> Gst.PadProbeReturn:
+    buffer_ptr: int = hash(info.get_buffer())
+    batch_id: int = 0
+    should_process: bool = frame_skipping_probe(buffer_ptr, batch_id, detector)
+    if should_process:
+            stats["processed"] += 1
+            print(f"✅ PROCESSING frame {stats['total']}")
+            return Gst.PadProbeReturn.OK
+    else:
+        stats["skipped"] += 1
+        print(f"⏭️ SKIPPING frame {stats['total']}")
+        return Gst.PadProbeReturn.DROP
+
+def _post_error_from_pad(pad: Gst.Pad, text: str, debug: str = "") -> None:
+    """Post an error message to the GStreamer bus from a pad."""
+    elem = pad.get_parent_element()
+    if not elem:
+        return
+    gerr = GLib.Error(text)
+    msg = Gst.Message.new_error(elem, gerr, debug)
+    elem.post_message(msg)
+
+def background_removal_gpu_probe(pad: Gst.Pad, info: Gst.PadProbeInfo) -> Gst.PadProbeReturn:
+    """GPU pad probe that applies background removal to each frame."""
+    gst_buffer = info.get_buffer()
+    if not gst_buffer:
+        _post_error_from_pad(pad, "missing GstBuffer in probe", "background_removal_gpu_probe: buf is None")
+        if STRICT_ERRORS:
+            raise RuntimeError("background_removal_gpu_probe: missing GstBuffer")
+        return Gst.PadProbeReturn.DROP
+
+    try:
+        buffer_ptr: int = hash(gst_buffer)
+        batch_id: int = 0
+
+        success: bool = gpu_background_probe.remove_background_gpu_probe_pipeline(buffer_ptr, batch_id)
+        if not success:
+            _post_error_from_pad(pad, "GPU background removal failed")
+            if STRICT_ERRORS:
+                raise RuntimeError("GPU background removal failed")
+            return Gst.PadProbeReturn.DROP
+
+    except Exception as e:
+        _post_error_from_pad(pad, "GPU processing error", str(e))
+        if STRICT_ERRORS:
+            raise
+        return Gst.PadProbeReturn.DROP
+
+    return Gst.PadProbeReturn.OK
+
+def build_pipeline() -> Gst.Pipeline:
+    """Build DeepStream pipeline with background removal, frame skipping, and message broker."""
+    pipeline = Gst.Pipeline.new("final-cpu-pipeline")
+
+    # Elements
+    rtspsrc = Gst.ElementFactory.make("rtspsrc", "source")
+    depay = Gst.ElementFactory.make("rtph264depay", "depay")
+    parse = Gst.ElementFactory.make("h264parse", "parse")
+    decode = Gst.ElementFactory.make("decodebin", "decode")
+    convert = Gst.ElementFactory.make("videoconvert", "convert")
+    nvvideoconvert = Gst.ElementFactory.make("nvvideoconvert", "nvvideoconvert")
+    capsfilter = Gst.ElementFactory.make("capsfilter", "capsfilter")
+    streammux = Gst.ElementFactory.make("nvstreammux", "streammux")
+    nvinfer = Gst.ElementFactory.make("nvinfer", "nvinfer")
+    nvmsgconv = Gst.ElementFactory.make("nvmsgconv", "nvmsgconv")
+    nvmsgbroker = Gst.ElementFactory.make("nvmsgbroker", "nvmsgbroker")
+
+    for e in [
+        rtspsrc,
+        depay,
+        parse,
+        decode,
+        convert,
+        nvvideoconvert,
+        capsfilter,
+        streammux,
+        nvinfer,
+        nvmsgconv,
+        nvmsgbroker,
+    ]:
+        assert e is not None, f"Failed to create element {e}"
+        pipeline.add(e)
+
+    # Configure elements
+    rtspsrc.set_property("location", RTSP_URL)
+    rtspsrc.set_property("latency", 200)
+    streammux.set_property("batch-size", 1)
+    streammux.set_property("width", 256)
+    streammux.set_property("height", 256)
+    nvinfer.set_property("config-file-path", CONFIG_FILE)
+    caps = Gst.Caps.from_string("video/x-raw(memory:NVMM), format=RGBA")
+    capsfilter.set_property("caps", caps)
+    nvmsgconv.set_property("config", MSGCONV_CONFIG)
+    nvmsgconv.set_property("payload-type", 0)
+    nvmsgbroker.set_property("proto-lib", "/opt/nvidia/deepstream/deepstream-6.4/lib/libnvds_mqtt_proto.so")
+    nvmsgbroker.set_property("conn-str", MQTT_CONN_STR)
+    nvmsgbroker.set_property("topic", MQTT_TOPIC)
+    nvmsgbroker.set_property("sync", False)
+
+    # Dynamic pad linking
+    def on_pad_added_rtspsrc(src: Any, pad: Any) -> None:
+        sinkpad = depay.get_static_pad("sink")
+        if not sinkpad.is_linked():
+            pad.link(sinkpad)
+
+    rtspsrc.connect("pad-added", on_pad_added_rtspsrc)
+
+    def on_pad_added_decode(src: Any, pad: Any) -> None:
+        sinkpad = convert.get_static_pad("sink")
+        if not sinkpad.is_linked():
+            pad.link(sinkpad)
+
+    decode.connect("pad-added", on_pad_added_decode)
+
+    # Link capsfilter → streammux
+    depay.link(parse)
+    parse.link(decode)
+    convert.link(nvvideoconvert)
+    nvvideoconvert.link(capsfilter)
+    srcpad = capsfilter.get_static_pad("src")
+    sinkpad = streammux.get_request_pad("sink_0")
+    srcpad.link(sinkpad)
+
+    streammux.link(nvinfer)
+    nvinfer.link(nvmsgconv)
+    nvmsgconv.link(nvmsgbroker)
+
+    detector = GPUFrameChangeDetector()
+
+    streammux_src_pad: Gst.Pad = streammux.get_static_pad("src")
+    streammux_src_pad.add_probe(Gst.PadProbeType.BUFFER, gpu_frame_skip_probe, detector)
+
+    streammux_src_pad.add_probe(Gst.PadProbeType.BUFFER, background_removal_gpu_probe)
+
+    tensor_extractor = TensorExtractor()
+    classifier = SoftmaxTopKClassifier(CLASS_LABELS)
+    plant_event_builder = NvdsPlantEventBuilder()
+    db_message_meta_probe = DbMessageMetaProbe(tensor_extractor, classifier, plant_event_builder)
+
+    nvinfer_src_pad = nvinfer.get_static_pad("src")
+    nvinfer_src_pad.add_probe(Gst.PadProbeType.BUFFER, db_message_meta_probe.pad_probe)
+
+    return pipeline
+
+if __name__ == "__main__":
+    Gst.init(None)
+    build_engine_if_missing(CONFIG_FILE)
+    pipeline = build_pipeline()
+    run_pipeline(pipeline)

src/deepstream/probes/frame_comparison/gpu/frame_change_detector.cpp

@@ -5,8 +5,8 @@
 #include <cmath>
 #include <vector>
 
-const double MSE_THRESH = 20.0;
-const double SSIM_THRESH = 0.998;
+const double MSE_THRESH = 99.0;
+const double SSIM_THRESH = 0.996;
 const double FLOW_THRESH = 0.5;
 const double OPTICAL_FLOW_ACTIVE_THRESH = 0.5;