[Manufacturing and Metro apps] Doc fixes and script updates (#1165)

Author: ajagadi1

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pallet-defect-detection/how-to-use-gpu-for-inference.md

@@ -33,6 +33,9 @@ Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/gpu_device_select
 ### GPU specific element properties
 DL Streamer inference elements also provides property such as `device=GPU` and `pre-process-backend=va-surface-sharing` to infer and pre-process on GPU. Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/model_preparation.html#model-pre-and-post-processing) for more.
 
+### Selecting the GPU render device of your choice if there is more than one GPU device on the system
+If you have multiple GPUs (integrated/discrete), please follow [this](https://dlstreamer.github.io/dev_guide/gpu_device_selection.html) DL Streamer document for selecting the GPU render device of your choice for VA codecs plugins.
+
 ## Tutorial on how to use GPU specific pipelines
 
 > Note - This sample application already provides a default `docker-compose.yml` file that includes the necessary GPU access to the containers.

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pallet-defect-detection/system-requirements.md

@@ -24,7 +24,7 @@ This page provides detailed hardware, software, and platform requirements to hel
 **Required Software**:
 - Docker 27.3.1 or higher
 - Python 3.10+
-
+- Git, jq, unzip
 
 ## Validation
 - Ensure all required software are installed and configured before proceeding to [Get Started](./get-started.md).

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pcb-anomaly-detection/how-to-use-gpu-for-inference.md

@@ -33,6 +33,9 @@ Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/gpu_device_select
 ### GPU specific element properties
 DL Streamer inference elements also provides property such as `device=GPU` and `pre-process-backend=va-surface-sharing` to infer and pre-process on GPU. Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/model_preparation.html#model-pre-and-post-processing) for more.
 
+### Selecting the GPU render device of your choice if there is more than one GPU device on the system
+If you have multiple GPUs (integrated/discrete), please follow [this](https://dlstreamer.github.io/dev_guide/gpu_device_selection.html) DL Streamer document for selecting the GPU render device of your choice for VA codecs plugins.
+
 ## Tutorial on how to use GPU specific pipelines
 
 > Note - This sample application already provides a default `docker-compose.yml` file that includes the necessary GPU access to the containers.

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pcb-anomaly-detection/system-requirements.md

@@ -24,7 +24,7 @@ This page provides detailed hardware, software, and platform requirements to hel
 **Required Software**:
 - Docker 27.3.1 or higher
 - Python 3.10+
-
+- Git, jq, unzip
 
 ## Validation
 - Ensure all required software are installed and configured before proceeding to [Get Started](./get-started.md).

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/weld-porosity/how-to-use-gpu-for-inference.md

@@ -33,6 +33,9 @@ Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/gpu_device_select
 ### GPU specific element properties
 DL Streamer inference elements also provides property such as `device=GPU` and `pre-process-backend=va-surface-sharing` to infer and pre-process on GPU. Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/model_preparation.html#model-pre-and-post-processing) for more.
 
+### Selecting the GPU render device of your choice if there is more than one GPU device on the system
+If you have multiple GPUs (integrated/discrete), please follow [this](https://dlstreamer.github.io/dev_guide/gpu_device_selection.html) DL Streamer document for selecting the GPU render device of your choice for VA codecs plugins.
+
 ## Tutorial on how to use GPU specific pipelines
 
 > Note - This sample application already provides a default `docker-compose.yml` file that includes the necessary GPU access to the containers.

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/weld-porosity/system-requirements.md

@@ -24,7 +24,7 @@ This page provides detailed hardware, software, and platform requirements to hel
 **Required Software**:
 - Docker 27.3.1 or higher
 - Python 3.10+
-
+- Git, jq, unzip
 
 ## Validation
 - Ensure all required software are installed and configured before proceeding to [Get Started](./get-started.md).

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/worker-safety-gear-detection/how-to-use-gpu-for-inference.md

@@ -33,6 +33,9 @@ Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/gpu_device_select
 ### GPU specific element properties
 DL Streamer inference elements also provides property such as `device=GPU` and `pre-process-backend=va-surface-sharing` to infer and pre-process on GPU. Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/model_preparation.html#model-pre-and-post-processing) for more.
 
+### Selecting the GPU render device of your choice if there is more than one GPU device on the system
+If you have multiple GPUs (integrated/discrete), please follow [this](https://dlstreamer.github.io/dev_guide/gpu_device_selection.html) DL Streamer document for selecting the GPU render device of your choice for VA codecs plugins.
+
 ## Tutorial on how to use GPU specific pipelines
 
 > Note - This sample application already provides a default `docker-compose.yml` file that includes the necessary GPU access to the containers.

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/worker-safety-gear-detection/system-requirements.md

@@ -24,7 +24,7 @@ This page provides detailed hardware, software, and platform requirements to hel
 **Required Software**:
 - Docker 27.3.1 or higher
 - Python 3.10+
-
+- Git, jq, unzip
 
 ## Validation
 - Ensure all required software are installed and configured before proceeding to [Get Started](./get-started.md).

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

@@ -43,21 +43,7 @@ Enable running docker without "sudo": [Post Install](https://docs.docker.com/eng
      ```bash
      ./install.sh loitering-detection
      ```
-
-    <details>
-    <summary>
-    Specify Custom Host IP Address (Advanced Configuration)
-    </summary>
-
-    For environments requiring a specific host IP address (such as when using Edge Manageability Toolkit or deploying across different network interfaces), you can explicitly specify the IP address:
-
-    ```bash
-    ./install.sh loitering-detection <HOST_IP>
-    ```
-    Replace `<HOST_IP>` with your target IP address.
-
-    </details>
-
+     Note: For environments requiring a specific host IP address (such as when using Edge Manageability Toolkit or deploying across different network interfaces), you can explicitly specify the IP address (Replace `<HOST_IP>` with your target IP address.): `./install.sh loitering-detection <HOST_IP>`
 
 ## Run the application
 

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/docs/user-guide/how-to-use-gpu-for-inference.md

@@ -33,6 +33,9 @@ Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/gpu_device_select
 ### GPU specific element properties
 DL Streamer inference elements also provides property such as `device=GPU` and `pre-process-backend=va-surface-sharing` to infer and pre-process on GPU. Read DL Streamer [docs](https://dlstreamer.github.io/dev_guide/model_preparation.html#model-pre-and-post-processing) for more.
 
+### Selecting the GPU render device of your choice if there is more than one GPU device on the system
+If you have multiple GPUs (integrated/discrete), please follow [this](https://dlstreamer.github.io/dev_guide/gpu_device_selection.html) DL Streamer document for selecting the GPU render device of your choice for VA codecs plugins.
+
 ## Tutorial on how to use GPU specific pipelines
 
 > Note - This sample application already provides a default `compose-without-scenescape.yml` file that includes the necessary GPU access to the containers.