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tbujewsk merged 12 commits into from
Mar 20, 2026
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Release Notes update for 2026.0 #708

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[DOCS] Update release notes for version 2026.0 with new features, enh…
tbujewsk Mar 18, 2026
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[DOCS] Remove deprecated architecture 2.0 elements from release notes
tbujewsk Mar 18, 2026
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[DOCS] Update deprecation timeline for Architecture 2.0 elements in r…
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fix per review
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review fixes #2
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gvametaconvert change description update
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57 changes: 40 additions & 17 deletions docs/source/release-notes.md
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Expand Up @@ -4,9 +4,11 @@

## Key highlights:
* New elements: gvafpsthrottle, g3dradarprocess, g3dlidarparse
* New model support: YOLOv26 (including OBB), RT-DETR, HuggingFace ViT
* New model support: YOLOv26, YOLO-E, RT-DETR, HuggingFace ViT
* Streamlined integration with Ultralytics and HuggingFace model hubs
* GstAnalytics metadata support: DLStreamer supports GstAnalytics metadata for object detection, classification, tracking and adds custom GstAnalytics extension for keypoints
* gvawatermark overhaul: object bluring, text backgrounds, label filtering, extra fonts, thickness/color options, FPS overlay
* Inference enhancements: batch timeout, OpenCV tensor compression for all devices, FP32 precision, custom GstAnalytics data API
* Inference enhancements: batch timeout, OpenCV tensor compression for all devices
* Windows platform: GPU inference via D3D11, gvapython support, CI integration, build/setup improvements
* New Python samples: VLM Alerts, Smart NVR, ONVIF Discovery, face detection/age classification, open-vocabulary detection, RealSense, DL Streamer + DeepStream
* Optimizer: multi-stream optimization, cross-stream batching, device selection, refactored with tests
Expand Down Expand Up @@ -54,38 +56,46 @@ For installing Pipeline Framework with the prebuilt binaries or Docker\* or to b
|---|---|
| 3D elements (g3dradarprocess, g3dlidarparse) | New 3D plugin support with g3dradarprocess element for radar data processing and g3dlidarparse element for lidar data parsing, enabling 3D analytics pipelines.|
| FPS throttle element (gvafpsthrottle) | New element to throttle the frame rate of a pipeline to a specified FPS value. |
| YOLOv26 model support| Added converters and post-processing for YOLOv26 models, including oriented bounding box (OBB) support and FP16/FP32 GPU inference. Added YOLOv26 to supported models in samples.|
| RT-DETR model support | Added RT-DETR support with dedicated converter implementation for real-time detection transformer models. |
| YOLOv26 model support| Added converters and post-processing for YOLOv26 models, including oriented bounding box (OBB) support and INT8 GPU inference. Added YOLOv26 to supported models in samples.|
| RT-DETR model support | Added RT-DETR support implementation for real-time detection transformer models. |
| HuggingFace ViT classifier support | Added HuggingFace Vision Transformer (ViT) classifier config parser for inference.|
| gvawatermark enhancements| Major enhancements to the gvawatermark element: display configuration options (thickness, color index), text background support, inclusive/exclusive label filtering, additional font support, average FPS info overlay, and visual documentation.|
| Batch timeout for inference elements | Added batch-timeout parameter to inference elements, allowing control over batching wait time.|
| Reference timestamp metadata|Added reference timestamp meta extraction to gvametaconvert element.|
| Custom GstAnalytics data | Enabled custom code to add GstAnalytics data outside of DL Streamer components.|
| VLM Alerts sample | New Python sample for VLM-based alerts with displaying results on produced video. |
| Smart NVR sample | New Python sample for Smart NVR with added custom analytics logic (gvaAnalytics) and custom storage (gvaRecorder) elements. |
| ONVIF Camera Discovery sample | New Python sample demonstrating ONVIF camera discovery and DL Streamer pipeline launcher. |
| Face detection & age classification sample | New Python sample for face detection and age classification using HuggingFace models. |
| Open-vocabulary object detection sample | New Python sample with open-vocabulary prompt for object detection. |
| DL Streamer + DeepStream coexistence sample | New sample demonstrating DL Streamer and DeepStream working in one system. |
| Motion detect sample (Windows) | New sample demonstrating DL Streamer gvamotiondetect functionality |
| RealSense element usage sample | New sample demonstrating gvarealsense element usage. |


**Updated in this Release**

| Title | High-level description |
|---|---|
| gvawatermark enhancements| Major enhancements to the gvawatermark element: display configuration options (thickness, color index), text background support, inclusive/exclusive label filtering, additional font support, average FPS info overlay, and visual documentation.|
| DLS Optimizer enhancements | Optimizer refactored with multi-stream optimization, cross-stream batching, improved FPS reporting, and device selection improvements. |
| gvametaconvert enhancements| Added reference NTP timestamp from RTCP sender meta extraction to gvametaconvert element|
| ROI object construction enhacement| For existing GstAnalyticsODMtd only, creates GstVideoRegionOfInterestMeta until full GstAnalytics migration|
| Latency tracer multi-source/sink support| Extended latency_tracer to support multiple sources and multiple sinks.|
| Detection anomaly converter | Refactored and enhanced anomaly logic in DetectionAnomalyConverter.|
| FP32 precision in BoxesLabelsConverter | Added FP32 precision support in BoxesLabelsConverter label parsing.|
| Bounding box validation | Added extra validation of bounding boxes to improve robustness.|
| OpenCV tensor compression for all devices | Use OpenCV tensor compression for all inference devices, yielding best performance across CPU/GPU/NPU.|
| Model API refactoring | Moved Model API parser to separate files; added conversion from third-party metadata to Model API.|
| VLM Alerts sample (Python) | New Python sample for VLM-based alerts with displaying results on produced video. |
| Smart NVR sample (Python) | New Python sample for Smart NVR with prototype elements. |
| ONVIF Camera Discovery sample | New sample demonstrating ONVIF camera discovery and DL Streamer pipeline launcher. |
| Face detection & age classification sample | New Python sample for face detection and age classification using HuggingFace models. |
| Open-vocabulary object detection sample | New Python sample with open-vocabulary prompt for object detection. |
| RealSense element usage sample | New sample demonstrating gvarealsense element usage. |
| DL Streamer + DeepStream concurrent sample | New sample demonstrating concurrent DL Streamer and DeepStream usage. |
| Model API refactoring | Moved Model API parser to separate files; added conversion from Ultralytics and HuggingFace metadata to Model API.|
| Python samples overview | Added overview section for Python samples; updated READMEs. |
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@oonyshch oonyshch Mar 19, 2026

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Also we have introduced several new python samples to the codebase. Maybe we should mention them here?

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@tbujewsk tbujewsk Mar 19, 2026

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there are listed in the 'New in this Release' section

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@oonyshch oonyshch Mar 19, 2026

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Fact, thanks, saw that.

Also there was this Windows sample
If it's a part of the release, we should add information about it.

There were pipeline graphs added for all Windows samples too (not sure about mentioning, because all new python samples were merged with such graphs and we don't seem to highlight that)

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@tbujewsk tbujewsk Mar 19, 2026

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Added info about Windows sample.

| Tests | Expanded coverage of functional and unit tests. |
| Windows: GPU inference with D3D11 | Added support for GPU inference on Windows using D3D11. |
| Windows: gvapython support | Added Windows support for gvapython element and gstgva Python bindings. |
| Windows: enhanced build & setup | Enhanced Windows build/setup scripts, added remove script, Visual C++ runtime handling, and JSON output for Windows samples. |
| Windows: CI integration | Enabled Windows tests in GitHub Actions workflow, model downloads on Windows. |
| DL Optimizer enhancements | Optimizer refactored with multi-stream optimization, cross-stream batching, improved FPS reporting, and device selection improvements. Added functional tests and unit tests. |
| CI: Zizmor security scanning | Added Zizmor GitHub Actions security scanner. |
| Library consolidation | Merged gvawatermark3d, gvadeskew, gvamotiondetect, and gvagenai into the gstvideoanalytics library. |
| OpenVINO update | Update to OpenVINO 2026.0.0. |
| NPU driver update | Update to NPU driver version 1.30. |
| RealSense update | Update to Intel RealSense SDK 2.57.5. |
| Model download script improvements | Simplified YOLO model download script, enhanced INT8 quantization, refactored YOLOv8+ export/quantize, added model validation. |
| CI: Zizmor security scanning | Added Zizmor GitHub Actions security scanner. |

**Fixed**

Expand Down Expand Up @@ -120,6 +130,19 @@ For installing Pipeline Framework with the prebuilt binaries or Docker\* or to b
|---|---|
| Preview Architecture 2.0 Samples | Preview Arch 2.0 samples have known issues with inference results. |


## Legacy Features and Deprecation Timeline
List of the features and components to be deprecated in the future.

| Feature | End of Support Date | Replacement strategy |
|---|---|---|
| OMZ models | end of Q3'2026 | Use HuggingFace, Ultralytics, TIMM |
| Model-proc-file| end of Q3'2026 | ModelAPI (common with Geti) |
| GstVideoRegionOfInterest meta + Intel extensions | end of Q4'2026 | usage of GstAnalyticsMtd |
| Architecture 2.0 elements | end of Q4'2026 | Preserve essential components and ideas |
| FFMpeg integration samples | end of Q2'2026 | no replacement |

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@tjanczak tjanczak Mar 20, 2026

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I think we should also mention "gvapython to be replaced with regular GStreamer python elements"... but we can add it in next release


## Legal Information

* GStreamer is an open source framework licensed under LGPL.
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