Sync crowd-detection from metro-analytics-catalog

README.md

@@ -6,7 +6,7 @@
 |---|---|
 | **Category** | Object Detection (Crowd / Person Counting) |
 | **Source Framework** | PyTorch (Ultralytics) |
-| **Supported Precisions** | FP32, FP16, FP16-INT8 |
+| **Supported Precisions** | FP32, FP16, INT8 (mixed-precision) |
 | **Inference Engine** | OpenVINO |
 | **Hardware** | CPU, GPU, NPU |
 | **Detected Class** | `person` (COCO class 0) |
@@ -42,6 +42,10 @@ python3 -m venv .venv --system-site-packages
 source .venv/bin/activate
 ```
 
+> **Note:** The `--system-site-packages` flag is required so the virtual
+> environment can access the system-installed OpenVINO and DLStreamer Python
+> packages.
+
 ---
 
 ## Getting Started
@@ -148,17 +152,16 @@ The `export_and_quantize.sh` script downloads `test.jpg` automatically.
 Re-run the OpenVINO sample above.
 The script reads `test.jpg`, prints the crowd count to the console, and writes the annotated frame to `output.jpg`.
 
-Expected console output (representative -- actual count depends on the sample image):
+Expected console output:
 
 ```text
-Detected persons: <N>
+Detected persons: 4
 ```
 
-`output.jpg` is the same image with a green bounding box drawn around each detected person and the text `Crowd count: <N>` overlaid in the top-left corner.
+`output.jpg` is the same image with a green bounding box drawn around each detected person and the text `Crowd count: 4` overlaid in the top-left corner.
 
-> **Tip:** The bundled `test.jpg` (an airport scene) is suitable for a quick
-> demo. For production testing, replace it with an image from your target
-> deployment site showing a representative crowd density.
+> **Tip:** For production testing, replace the bundled `test.jpg` with an image
+> from your target deployment site showing a representative crowd density.
 
 ### DLStreamer Sample
 

export_and_quantize.sh

@@ -38,7 +38,7 @@ fi
 
 echo "--- Downloading sample test image ---"
 if [[ ! -f test.jpg ]]; then
-    wget -q -O test.jpg https://raw.githubusercontent.com/ultralytics/assets/main/im/airport.jpg
+    wget -q -O test.jpg https://ultralytics.com/images/bus.jpg
     echo "Downloaded: test.jpg"
 else
     echo "Already present: test.jpg"