Docker Image for Scenescape's Manager Service
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Scenescape makes writing applications based on sensor data faster, easier and better by reaching beyond vision-based AI to realize spatial awareness through contextualization of multimodal sensor data in a common reference frame. It provides a collection of microservices, tools and supporting containers to quickly move from single sensor analytics to a multimodal aggregated scene view.
Scenescape is a software framework that enables spatial awareness by integrating data from cameras and other sensors into scenes. It simplifies application development by providing near-real-time, actionable data about the state of the scene, including what, when, and where objects are present, along with their sensed attributes and environment. This scene-based approach makes it easy to incorporate and fuse sensor inputs, enabling analysis of past events, monitoring of current activities, and prediction of future outcomes from scene data.
Even with a single camera, transitioning to a scene paradigm offers significant advantages. Applications are written against the scene data directly, allowing for flexibility in modifying the sensor setup. You can move, modify, remove, or add cameras and sensors without changing your application or business logic. As you enhance your sensor array, the data quality improves, leading to better insights and decisions without altering your underlying application logic.
Scenescape turns raw sensor data into actionable insights by representing objects, people, and vehicles within a scene. Applications can access this information to make informed decisions, such as identifying safety hazards, detecting equipment issues, managing queues, correcting product placements, or responding to emergencies.
Overview
System Requirements
Getting Started
API Reference
To report a bug, file a documentation issue, or submit a feature request, please open a GitHub issue.
We welcome contributions! Check out our Contributing Guide to get started.
Scenescape repository is licensed under APACHE 2.0 LICENSE.
This distribution includes components licensed under copyleft licenses. The complete corresponding source code for these components is provided in a separate Sources Docker image available on DockerHub intel/scenescape-sources.
See third-party-programs.txt file in the Scenescape Sources Docker image for details on included components and licenses.
This container image is intended for demo purposes only and not intended for production use. To receive expanded security maintenance from Canonical on the Ubuntu base layer, you may follow the how-to guide to enable Ubuntu Pro in a Dockerfile which will require the image to be rebuilt.
Depending on your deployment, Scenescape may utilize FFmpeg and/or GStreamer.
FFmpeg is an open source project licensed under LGPL and GPL. See FFmpeg License and Legal Considerations. You are solely responsible for determining if your use of FFmpeg requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of FFmpeg.
GStreamer is an open source framework licensed under LGPL. See Licensing your applications and plugins for use with GStreamer. You are solely responsible for determining if your use of GStreamer requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of GStreamer.
Content type
Image
Digest
sha256:ace4863d6…
Size
547.3 MB
Last updated
10 days ago
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