Optimization of pipeline frame latency in Smart Intersection GPU pipelines (#2025)

Author: ajagadi1

metro-ai-suite/metro-vision-ai-app-recipe/smart-intersection/init.sh

@@ -17,14 +17,24 @@ echo "UID=$USER_UID" > .env
 echo "GID=$USER_GID" >> .env
 
 if [ ! -d "${SOURCE}/dlstreamer-pipeline-server/videos" ] || [ -z "$(find "${SOURCE}/dlstreamer-pipeline-server/videos" -type f -name "*.ts" 2>/dev/null)" ]; then
-  VIDEO_URL="https://github.com/intel/metro-ai-suite/raw/refs/heads/videos/videos"
-  VIDEOS=("1122east.ts" "1122west.ts" "1122north.ts" "1122south.ts")
+  VIDEO_BRANCH="main"
+  VIDEO_URL="https://github.com/open-edge-platform/edge-ai-resources/raw/refs/heads/${VIDEO_BRANCH}/videos"
+  VIDEOS=("1122east_h264.ts" "1122west_h264.ts" "1122north_h264.ts" "1122south_h264.ts")
   VIDEO_DIR="${SOURCE}/dlstreamer-pipeline-server/videos"
 
   mkdir -p "${VIDEO_DIR}"
+  
+  echo "Downloading videos in parallel..."
+  for VIDEO in "${VIDEOS[@]}"; do
+    curl -k -L -s "${VIDEO_URL}/${VIDEO}" -o "${VIDEO_DIR}/${VIDEO}" &
+  done
+  
+  # # Dummy download to potentially improve bandwidth allocation
+  # curl -k -L -s "${VIDEO_URL}/LICENSE" -o "${VIDEO_DIR}/LICENSE" &
+  
+  wait
+  
   for VIDEO in "${VIDEOS[@]}"; do
-    echo "Downloading ${VIDEO}..."
-    curl -L "${VIDEO_URL}/${VIDEO}" -o "${VIDEO_DIR}/${VIDEO}"
     if [ ! -f "${VIDEO_DIR}/${VIDEO}" ]; then
         echo "Error: Failed to download ${VIDEO}"
         exit 1