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update metro to rc3
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+19
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metro-ai-suite/metro-vision-ai-app-recipe/.env

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HOST_IP=0.0.0.0
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# DL Streamer Pipeline Server
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DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc2
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DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
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# This variable identifies the name of the application to be used.
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# It should match the name of the application directory in the metro-ai-suite.

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/docs/user-guide/get-started/deploy-with-helm.md

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cd loitering-detection
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#Download helm chart with the following command
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helm pull oci://registry-1.docker.io/intel/loitering-detection --version 1.4.0-rc2
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helm pull oci://registry-1.docker.io/intel/loitering-detection --version 1.4.0-rc3
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#unzip the package using the following command
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tar -xvf loitering-detection-1.4.0-rc2.tgz
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tar -xvf loitering-detection-1.4.0-rc3.tgz
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#Replace the helm directory
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rm -rf helm-chart && mv loitering-detection helm-chart
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apiVersion: v2
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appVersion: 1.4.0-rc2
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appVersion: 1.4.0-rc3
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description: A Helm chart for Loitering Detection Sample Application
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name: loitering-detection
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type: application
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version: 1.4.0-rc2
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version: 1.4.0-rc3

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/helm-chart/templates/dlstreamer-pipeline-server.yaml

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- name: videos-volume
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mountPath: /tmp/videos
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- name: model-downloader
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image: intel/dlstreamer:2026.0.0-ubuntu24-rc2
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image: intel/dlstreamer:2026.0.0-ubuntu24-rc3
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securityContext:
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allowPrivilegeEscalation: false
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readOnlyRootFilesystem: true

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/helm-chart/values.yaml

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imageTag: 1.11.3
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dlstreamer_pipeline_server:
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image: intel/dlstreamer-pipeline-server
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imageTag: 2026.0.0-ubuntu24-rc2
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imageTag: 2026.0.0-ubuntu24-rc3
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grafana:
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image: grafana/grafana
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imageTag: 11.5.4

metro-ai-suite/metro-vision-ai-app-recipe/smart-intersection/chart/Chart.yaml

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type: application
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version: 1.18.0-rc2
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appVersion: "1.18.0-rc2"
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version: 1.18.0-rc3
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appVersion: "1.18.0-rc3"

metro-ai-suite/metro-vision-ai-app-recipe/smart-intersection/chart/values.yaml

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dlstreamerPipelineServer:
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repository: docker.io/intel/dlstreamer-pipeline-server
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tag: 2026.0.0-ubuntu24-rc2
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tag: 2026.0.0-ubuntu24-rc3
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# Overrides the storage class name
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storageClassName: "standard"
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gpuWorkload: false

metro-ai-suite/metro-vision-ai-app-recipe/smart-intersection/docs/user-guide/get-started/deploy-with-helm.md

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cd smart-intersection
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# Download helm chart with the following command
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helm pull oci://registry-1.docker.io/intel/smart-intersection --version 1.18.0-rc2
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helm pull oci://registry-1.docker.io/intel/smart-intersection --version 1.18.0-rc3
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# unzip the package using the following command
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tar -xvf smart-intersection-1.18.0-rc2.tgz
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tar -xvf smart-intersection-1.18.0-rc3.tgz
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# Replace the helm directory
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rm -rf chart && mv smart-intersection chart

metro-ai-suite/metro-vision-ai-app-recipe/smart-parking/docs/user-guide/get-started/deploy-with-helm.md

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cd smart-parking
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#Download helm chart with the following command
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helm pull oci://registry-1.docker.io/intel/smart-parking --version 1.4.0-rc2
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helm pull oci://registry-1.docker.io/intel/smart-parking --version 1.4.0-rc3
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#unzip the package using the following command
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tar -xvf smart-parking-1.4.0-rc2.tgz
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tar -xvf smart-parking-1.4.0-rc3.tgz
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#Replace the helm directory
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rm -rf helm-chart && mv smart-parking helm-chart
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apiVersion: v2
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appVersion: 1.4.0-rc2
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appVersion: 1.4.0-rc3
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description: A Helm chart for Smart Parking Sample Application
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name: smart-parking
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type: application
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version: 1.4.0-rc2
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version: 1.4.0-rc3

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