Sync crowd-detection from metro-analytics-catalog

README.md

@@ -116,8 +116,8 @@ Output files:
 
 ### OpenVINO Sample
 
-The sample below runs YOLO26 inference, filters to the `person` class, applies
-non-maximum suppression, and reports the crowd count for a single image.
+The sample below runs YOLO26 inference, filters to the `person` class, and
+reports the crowd count for a single image.
 
 ```python
 import cv2

export_and_quantize.sh

@@ -31,11 +31,24 @@ fi
 
 echo "--- Installing dependencies ---"
 if [[ "${PRECISION}" == "INT8" ]]; then
-    pip install -qU "openvino>=2026.0.0" "nncf>=3.0.0" ultralytics
+    pip install -qU openvino nncf ultralytics
 else
-    pip install -qU "openvino>=2026.0.0" ultralytics
+    pip install -qU openvino ultralytics
 fi
 
+# Ask for approval before downloading models and sample files
+echo ""
+echo "This script will download:"
+echo "  - YOLO26 model weights (if not cached locally)"
+echo "  - Sample test image and video files"
+echo ""
+read -p "Continue with downloads? (yes/no): " APPROVAL
+if [[ "${APPROVAL}" != "yes" ]]; then
+    echo "Download cancelled by user."
+    exit 0
+fi
+echo ""
+
 echo "--- Downloading sample test image ---"
 if [[ ! -f test.jpg ]]; then
     wget -q -O test.jpg https://ultralytics.com/images/bus.jpg