Update native RC1 samples and supported device documentation

README.md

@@ -52,9 +52,13 @@ Typical deployments include:
 
 ## Prerequisites
 
+Target stack: Intel DLStreamer **2026.3.0 RC1** with the matching OpenVINO GenAI bundle **2026.5.0.0.dev20261030** (OpenVINO Runtime **2026.5.0.dev20261030**).
+Use the [native RC1 setup](../README.md#native-rc1-runtime) before running these samples; this is a development stack, not a stable release.
+See the [device validation matrix](../DEVICE_SUPPORT_MATRIX.md) for measured CPU, GPU, and NPU results.
+
 - Python 3.11+
 - [Install OpenVINO](https://docs.openvino.ai/2026/get-started/install-openvino.html) (latest version)
-- [Install Intel DLStreamer](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/get_started/install/install_guide_ubuntu.html) (latest version)
+- [Install Intel DLStreamer](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/get_started/install/install_guide_ubuntu.html) (latest version)
 
 Create and activate a Python virtual environment before running the scripts:
 
@@ -114,7 +118,16 @@ annotated result to `output_dlstreamer.mp4`.
 >   /opt/intel/dlstreamer/gstreamer/lib/python3/dist-packages:${PYTHONPATH:-}
 >   ```
 
+The full sample is in [dlstreamer_sample.py](dlstreamer_sample.py); run it with `python3 dlstreamer_sample.py` or copy the code below.
+
+<!-- sample: dlstreamer_sample.py -->
 ```python
+# SPDX-License-Identifier: MIT
+# Copyright (C) Intel Corporation
+#
+# Worker Safety Detection: DLStreamer pipeline sample.
+# See README.md for prerequisites and inputs. Run: python3 dlstreamer_sample.py
+
 import gi
 
 gi.require_version("Gst", "1.0")
@@ -172,6 +185,7 @@ bus.timed_pop_filtered(
 )
 pipeline.set_state(Gst.State.NULL)
 ```
+<!-- /sample -->
 
 ### Try It on a Sample Video
 
@@ -217,4 +231,4 @@ Licensed under the MIT License. See [LICENSE](LICENSE) for details.
 - [Worker Safety Gear Detection Application (Edge AI Suites)](https://github.com/open-edge-platform/edge-ai-suites/tree/main/manufacturing-ai-suite/industrial-edge-insights-vision)
 - [Intel Geti Platform](https://geti.intel.com/)
 - [OpenVINO Documentation](https://docs.openvino.ai/)
-- [Intel DLStreamer](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/index.html)
+- [Intel DLStreamer](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/index.html)

dlstreamer_sample.py

@@ -0,0 +1,62 @@
+# SPDX-License-Identifier: MIT
+# Copyright (C) Intel Corporation
+#
+# Worker Safety 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([])
+
+MODEL_XML = (
+  "models/worker_safety_gear_detection/"
+  "deployment/Detection/model/model.xml"
+)
+INPUT_VIDEO = "test_video.avi"
+
+# 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 ! "
+    f"videoconvert ! "
+    f"gvadetect model={MODEL_XML} device=GPU "
+    f"threshold=0.4 ! queue ! "
+    f"gvawatermark ! videoconvert ! video/x-raw,format=I420 ! "
+    f"openh264enc ! h264parse ! "
+    f"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
+    idx = 1
+    while True:
+        ok, od = rmeta.get_od_mtd(idx)
+        if not ok:
+            break
+        label = GLib.quark_to_string(od.get_obj_type())
+        _, x, y, w, h, conf = od.get_location()
+        print(f"  [PPE] {label} conf={conf:.2f}", flush=True)
+        idx += 1
+    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)

export_and_quantize.sh

@@ -15,9 +15,6 @@ ZIP_URL="https://github.com/open-edge-platform/edge-ai-resources/raw/main/models
 ZIP_FILE="${OUTPUT_DIR}/worker-safety-gear-detection.zip"
 EXPECTED_XML="${MODEL_DIR}/deployment/Detection/model/model.xml"
 
-echo "--- Installing dependencies ---"
-pip install -qU openvino
-
 # Ask for approval before downloading models and sample files
 echo ""
 echo "This script will download:"
@@ -42,6 +39,8 @@ else
     echo "WARNING: HuggingFace tracking ping failed (offline?); continuing." >&2
 fi
 echo ""
+echo "--- Installing dependencies ---"
+pip install -qU openvino
 
 echo "--- Downloading sample test video ---"
 if [[ ! -f test_video.avi ]]; then