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README.md

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@@ -254,7 +254,7 @@ The `.env` [file](https://docs.docker.com/compose/environment-variables/set-envi
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```bash
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echo "MY_VARIABLE=24" > sio/conf/user.env
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echo "SIO_DOCKER_TAG=r240909" > sio/conf/0009-debug.env
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echo "SIO_DOCKER_TAG=r241014" > sio/conf/0009-debug.env
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```
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And then update the services (create the .env file for docker-compose) by running:

RELEASE.md

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# Release Notes
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## v1.5.14
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- Update SIO to r241014
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- Add comments to config of StandaloneSIOWithExtension
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## v1.5.13
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- ALPRDemo: improve UI experience, fix README typos

VERSION

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v1.5.13
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v1.5.14

deployment-examples/ALPRDemo/docker-compose.yml

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# ========================= SIO ALPR Analytics =========================
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analytics_svc:
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image: us-central1-docker.pkg.dev/ext-edge-analytics/docker/sio:${SIO_RELEASE-r240909}${SIO_DOCKER_TAG_VARIANT}
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image: us-central1-docker.pkg.dev/ext-edge-analytics/docker/sio:${SIO_RELEASE-r241014}${SIO_DOCKER_TAG_VARIANT}
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restart: unless-stopped
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environment:
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# Location where SIO will place generated model engine files

deployment-examples/README.md

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The following samples are available:
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* `ALPRDemo` - an end-to-end sample for live stream and watched folder analytics, an analytics output consumer, simple database integration, and REST API for querying the generated results, and a wxPython UI for visualizing the output.
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* `ClientLib` - a collection of Python classes to use as base for sample client apps, and shell scripts for running those apps
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* `SighthoundRestApiGateway` - a deployment in which `VehicleAnalytics` pipeline is deployed with a REST API gateway in front of it, enabling image annotation API, with an optional UI front end.
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* `SIOOnDemandAnalytics` - folder watch/live stream monitoring deployed side-by-side, with a REST gateway in front of both.
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* `StandaloneSIOWithExtension` - demonstrates deployment of SIO without message bus integration, using pipeline extensions as a method for an alternative egress (to file/standard output or REST endpoint) and/or additional output filtering.
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* `VideoStreamsConsumer` - a deployment in which `VehicleAnalytics` pipeline consumes multiple video streams from live RTSP sources, and emits analytics output to AMQP broker deployed locally.
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* `VideoStreamsRecorder` - similar to `VideoStreamConsumer`, but also generates video recordings and images as part of its analytics output. `MCP` service is deployed for providing access to and managing the generated media

deployment-examples/SIOOnDemandAnalytics/docker-compose.yml

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# The actual analytics container
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analytics:
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image: us-central1-docker.pkg.dev/ext-edge-analytics/docker/sio:${SIO_RELEASE-r240909}${SIO_DOCKER_TAG_VARIANT-}
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image: us-central1-docker.pkg.dev/ext-edge-analytics/docker/sio:${SIO_RELEASE-r241014}${SIO_DOCKER_TAG_VARIANT-}
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restart: unless-stopped
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environment:
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# Location where SIO will place generated model engine files

deployment-examples/SighthoundRestApiGateway/docker-compose.yml

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services:
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analytics:
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image: us-central1-docker.pkg.dev/ext-edge-analytics/docker/sio:${SIO_RELEASE-r240909}${SIO_DOCKER_TAG_VARIANT-}
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image: us-central1-docker.pkg.dev/ext-edge-analytics/docker/sio:${SIO_RELEASE-r241014}${SIO_DOCKER_TAG_VARIANT-}
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restart: unless-stopped
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environment:
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# Location where SIO will place generated model engine files

deployment-examples/StandaloneSIOWithExtension/README.md

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Next, open a terminal, `cd` into the `./StandaloneSIOWithExtension/` folder, and run the following command to start the services:
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```bash
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docker compose up -d
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docker compose -f docker-compose.yml up -d
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```
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If you have an NVIDIA GPU installed and properly configured, you can run the following command instead to enable GPU acceleration:
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```bash
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SIO_DOCKER_RUNTIME=nvidia docker compose up -d
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SIO_DOCKER_RUNTIME=nvidia docker compose -f docker-compose.yml up -d
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```
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You can then deposit images and videos into `./StandaloneSIOWithExtension/data/input` and watch the output being printed as those are being procesed.
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ensures we're not going to analyze objects outside of the bottom right quadrant ROI (`lp_roiFilter` accomplishes that), and won't analyze objects below size threshold (`vehicle_SizeFilter`
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and `lp_SizeFilter` filters accomplish that).
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To run this sample, replace `docker-compose.yml` with `docker-compose-rtsp.yml` in the commands above.
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## Running the REST gateway sample
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REST gateway sample is a variation of RTSP sample, where instead of a more elaborate post-processing of the results,
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they're being sent to a REST API endpoint for further processing.
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The sample includes a dummy REST API server.
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To run this sample, replace `docker-compose.yml` with `docker-compose-rest.yml` in the commands above.
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## OS Compatibility
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deployment-examples/StandaloneSIOWithExtension/config/analytics/extension.py renamed to deployment-examples/StandaloneSIOWithExtension/config/analytics/aggregatorExtension.py

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deployment-examples/StandaloneSIOWithExtension/config/analytics/extensionConfig1.json renamed to deployment-examples/StandaloneSIOWithExtension/config/analytics/aggregatorExtensionConfig.json

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