[Metro AI Suite] IBVS: Add how to use GPU for inference doc

metro-ai-suite/image-based-video-search/chart/templates/dlstreamer-pipeline-server/deployment.yaml

@@ -101,13 +101,7 @@ spec:
         volumeMounts:
         - name: '{{ include "image_based_video_search.fullname" . }}-dlstreamer-pipeline-server-pipeline'
           mountPath: /home/pipeline-server/config.json
-          subPath: config.cpu.json
-        - name: '{{ include "image_based_video_search.fullname" . }}-dlstreamer-pipeline-server-pipeline'
-          mountPath: /home/pipeline-server/config.gpu.json
-          subPath: config.gpu.json
-        - name: '{{ include "image_based_video_search.fullname" . }}-dlstreamer-pipeline-server-pipeline'
-          mountPath: /home/pipeline-server/config.npu.json
-          subPath: config.npu.json
+          subPath: {{ .Values.dlstreamerpipelineserver.pipeline }}
         - name: '{{ include "image_based_video_search.fullname" . }}-dlstreamer-pipeline-server-pipeline'
           mountPath: /home/pipeline-server/person-vehicle-bike-detection-2004.json
           subPath: person-vehicle-bike-detection-2004.json

metro-ai-suite/image-based-video-search/docs/user-guide/get-started.md

@@ -148,6 +148,11 @@ a pre-step to prepare models may be needed
    | ![image1](./_images/imagesearch1.png) | ![image2](./_images/imagesearch2.png) |
     |--------------------------------|--------------------------------|
 
+8. **Stop the Application**:
+    - Brind down the dockers along with volumes:
+      ```bash
+      docker compose down -v
+      ```
 
 <!--
 

metro-ai-suite/image-based-video-search/docs/user-guide/how-to-deploy-helm.md

@@ -37,39 +37,41 @@ Before You Begin, ensure the following:
 
 ## Steps to Deploy
 
-Clone the repo and go to helm directory
-```bash
-git clone https://github.com/open-edge-platform/edge-ai-suites.git
-cd edge-ai-suites/metro-ai-suite/image-based-video-search/chart
-```
-
-```bash
-# Install the Image-Based Video Search chart in the ibvs namespace
-helm install ibvs . --create-namespace -n ibvs 
-```
-
-Some containers in the deployment requires network access. If you are in a proxy
-environment, pass the proxy environment variables as follows:
-
-```bash
-# Install the Image-Based Video Search chart in the ibvs namespace
-# Replace the proxy values with the specific ones for your environment:
-helm install ibvs . --create-namespace -n ibvs \
-    --set httpProxy="http://proxy.example.com:8080" \
-    --set httpsProxy="http://proxy.example.com:8080" \
-    --set noProxy="localhost\,127.0.0.1"
-```
-
-
-Now frontend should be accessible at `https://<ip-addr>:30443/`.
-> Note: To access the above url remotely, replace the `<ip-addr>` with your system IP address. 
-
-Finally, the app can be uninstalled using the following command:
-
-```bash
-# And this is how you uninstall the chart:
-helm uninstall -n ibvs ibvs
-```
+1. **Clone the repo**:
+  - Clone the repo and go to helm directory
+    ```bash
+    git clone https://github.com/open-edge-platform/edge-ai-suites.git
+    cd edge-ai-suites/metro-ai-suite/image-based-video-search/chart
+    ```
+
+2. **Start the application**:
+  - Run below command in the terminal
+    ```bash
+    # Install the Image-Based Video Search chart in the ibvs namespace
+    helm install ibvs . --create-namespace -n ibvs 
+    ```
+
+    Some containers in the deployment requires network access. If you are in a proxy
+    environment, pass the proxy environment variables as follows:
+
+    ```bash
+    # Install the Image-Based Video Search chart in the ibvs namespace
+    # Replace the proxy values with the specific ones for your environment:
+    helm install ibvs . --create-namespace -n ibvs \
+        --set httpProxy="http://proxy.example.com:8080" \
+        --set httpsProxy="http://proxy.example.com:8080" \
+        --set noProxy="localhost\,127.0.0.1"
+    ```
+
+3. **Open IBVS UI**:
+  - Now frontend should be accessible at `https://<ip-addr>:30443/`.
+    > Note: To access the above url remotely, replace the `<ip-addr>` with your system IP address. 
+
+4. **Stop the application**:
+  - The app can be uninstalled using the following command:
+    ```bash
+    helm uninstall -n ibvs ibvs
+    ```
 
 ## Troubleshooting
 

metro-ai-suite/image-based-video-search/docs/user-guide/how-to-use-gpu-for-inference.md

@@ -0,0 +1,49 @@
+# How to use GPU for inference
+
+## Docker deployment
+### Prerequisites
+
+Follow steps 1 and 2 mentioned in [Get-started](./get-started.md#set-up-and-first-use) guide if not already done.
+
+### Volume mount GPU config
+
+Comment out CPU and NPU config and uncomment the GPU config present in [compose](../../compose.yml) file under `volumes` section as shown below
+
+```sh
+    volumes:
+      # - "./src/dlstreamer-pipeline-server/configs/filter-pipeline/config.cpu.json:/home/pipeline-server/config.json"
+      - "./src/dlstreamer-pipeline-server/configs/filter-pipeline/config.gpu.json:/home/pipeline-server/config.json"
+      # - "./src/dlstreamer-pipeline-server/configs/filter-pipeline/config.npu.json:/home/pipeline-server/config.json"
+```
+
+### Start and run the application
+
+After the above changes to docker compose file, follow from step 3 as mentioned in [Get-started](./get-started.md#set-up-and-first-use) guide.
+
+## Helm deployment
+### Prerequisites
+Follow step 1 mentioned in this [document](./how-to-deploy-helm.md#steps-to-deploy) if not already done.
+
+### Update values.yaml
+
+In [values.yaml](../../chart/values.yaml) file, change value of `pipeline` config present under `dlstreamerpipelineserver` section as shown below -
+
+```sh
+dlstreamerpipelineserver:
+  # key: dlstreamerpipelineserver.repository
+  repository:
+    # key: dlstreamerpipelineserver.repository.image
+    image: docker.io/intel/dlstreamer-pipeline-server
+    # key: dlstreamerpipelineserver.repository.tag
+    tag: 2025.2.0-ubuntu24
+  # key: dlstreamerpipelineserver.replicas
+  replicas: 1
+  # key: dlstreamerpipelineserver.nodeSelector
+  nodeSelector: {}
+  # key: dlstreamerpipelineserver.pipeline
+  pipeline: config.gpu.json       #### Changed value from config.cpu.json to config.gpu.json
+```
+
+### Start the application
+
+After above changes to `values.yaml` file, follow from step 2 as mentioned in this [document](./how-to-deploy-helm.md#steps-to-deploy).

metro-ai-suite/image-based-video-search/docs/user-guide/index.md

@@ -83,6 +83,7 @@ release-notes
 get-started
 how-to-deploy-helm
 how-to-deploy-with-edge-orchestrator
+how-to-use-gpu-for-inference
 GitHub <https://github.com/open-edge-platform/edge-ai-suites/tree/main/metro-ai-suite/image-based-video-search>
 support
 :::