Sync worker-safety-detection from metro-analytics-catalog

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+expected_output_dlstreamer.gif filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,7 +1,5 @@
 # Worker Safety Detection
 
-> **Validated with:** OpenVINO 2026.1.0, DLStreamer 2026.0, Python 3.11+
-
 | Property | Value |
 |---|---|
 | **Category** | Object Detection (PPE / Safety Compliance) |
@@ -80,7 +78,7 @@ Output files:
 
 The pipeline below runs the worker safety FP32 detector on the sample video via
 `gvadetect`, overlays bounding boxes with `gvawatermark`, and saves the
-annotated result to `output.mp4`.
+annotated result to `output_dlstreamer.mp4`.
 
 > **Notes on running this sample:**
 >
@@ -108,16 +106,16 @@ Gst.init(None)
 MODEL_XML = "models/worker-safety-gear-detection/deployment/Detection/model/model.xml"
 INPUT_VIDEO = "test_video.avi"
 
-# For GPU: change device=CPU to device=GPU, add vapostproc !
-# video/x-raw(memory:VASurface) after decodebin3, and set
-# pre-process-backend=vaapi-surface-sharing on gvadetect.
-# For NPU: change device=CPU to device=NPU (batch-size=1, nireq=4 recommended).
+# 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"gvadetect model={MODEL_XML} device=CPU threshold=0.4 ! queue ! "
+    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.mp4"
+    f"mp4mux ! filesink name=sink location=output_dlstreamer.mp4"
 )
 pipeline = Gst.parse_launch(pipeline_str)
 
@@ -158,7 +156,7 @@ Expected console output (representative):
   [PPE] safety_jacket conf=0.82
 ```
 
-The annotated video is saved to `output.mp4` with bounding boxes drawn by
+The annotated video is saved to `output_dlstreamer.mp4` with bounding boxes drawn by
 `gvawatermark` around each detected `safety_helmet` and `safety_jacket`.
 
 > **Known warning:** The `openh264enc` element prints
@@ -167,11 +165,15 @@ The annotated video is saved to `output.mp4` with bounding boxes drawn by
 > video is encoded correctly. The warning comes from the OpenH264 library's
 > internal logging and does not indicate a real error.
 
+#### Expected Output
+
+![DLStreamer expected output](expected_output_dlstreamer.gif)
+
 **Device targets:**
 
-- `device=CPU` -- default in the sample code.
-- `device=GPU` -- add `vapostproc ! video/x-raw(memory:VASurface)` after `decodebin3` and set `pre-process-backend=vaapi-surface-sharing` on `gvadetect`.
-- `device=NPU` -- use `batch-size=1` and `nireq=4` for best NPU utilization.
+- `device=GPU` -- default in the sample code.
+- `device=CPU` -- change `device=GPU` to `device=CPU`.
+- `device=NPU` -- change `device=GPU` to `device=NPU`; use `batch-size=1` and `nireq=4` for best NPU utilization.
 
 ---