OpenISS as a Near-Realtime Composable Broadcast Service for Performing Arts and Beyond
Bibliographic record
Abstract
Open Illimitable Space System (OpenISS) is a suite of graphics and motion capture libraries and the poised open source core for Illimitable Space System v2 (ISSv2), which typically is deployed for multimodal interaction and provides a platform for artists to enhance their performance by leveraging modern day technology on stage. Recently, we extended the OpenISS by enabling SOAP and REST APIs, to make it more flexible and scalable architecture being available as a service for broadcasting over the Internet. We share our experience regarding turning a depth camera (Kinect) and OpenCV as services (both SOAP and REST) within the OpenISS framework. With such services, we are able to request images or even video frames with different effects applied to the same scene in near-real-time and rendered within end-users browsers or other clients that consume REST or SOAP APIs. This work is built as an application on top of various kinds of libraries and techniques included in OpenISS, such as OpenCV, freenect, fakenect, openFrameworks as components.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.018 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".