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Release Notes

VSS 2.X Release Notes

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VSS 2.4.1

These are the VSS 2.4.1 Release Notes.

Key Features and Enhancements

VSS 2.4.0

These are the VSS 2.4.0 Release Notes.

Key Features and Enhancements

  • Support for NVIDIA Cosmos-Reason1 VLM

  • Two new APIs

    • /generate_vlm_captions to generate VLM captions for a video without summarization.
    • /reviewAlert to review an externally generated alert using VLM.

  • New reference deployment, Event Reviewer, to demonstrate review of an externally generated alert using a VLM.

  • VSS accuracy evaluation framework to evaluate accuracy on your own videos.

  • New parameters in the /summarize API:

    • system_prompt - System prompt for the VLM.

  • New retrieval strategies for CA-RAG.

VSS 2.3.1

These are the VSS 2.3.1 Release Notes.

Key Features and Enhancements

  • Support for NVIDIA Blackwell B200 GPU
  • OneClick script support for GCP deployments
  • Performance improvements for file burst mode

VSS 2.3.0

These are the VSS 2.3.0 Release Notes.

Key Features and Enhancements

  • Support for Audio in Summarization and Q&A
  • Support for preprocessing a video to generate Set of Marks (SOM) prompting and additional CV metadata for better accuracy
  • Gradio UI Improvements
  • Additional runtime parameters that can be configured through the /summarize API
ParameterDescription
summarize_top_p, summarize_temperature, summarize_max_tokensLLM sampling parameters for summarization.
chat_top_p, chat_temperature, chat_max_tokensLLM sampling parameters for Q&A.
notification_top_p, notification_temperature, notification_max_tokensLLM sampling parameters for alerts and event detection.
  • New API /alerts/recent to get recent alerts for all live streams.
  • Stability improvements
  • Single GPU Deployment

VSS 2.2.0

These are the VSS 2.2.0 Release Notes. This release is an Engineering Release to introduce some of the new features. This release includes several fixes from the previous VSS releases and additional changes.

Key Features and Enhancements

  • Enhanced multi-stream / concurrent mode support
  • GraphRAG performance improvements.
  • Support for NVILA research model.
  • Additional runtime parameters that can be configured through the /summarize API
ParameterDescription
vlm_input_width, vlm_input_heightConfigure the input resolution of the frames to the VLM.
num_frames_per_chunkConfigure the number of frames to sample from each chunk.
summarize_batch_sizeLLM batch size for summarization.
rag_top_kNumber of top rerank results to use during Q&A.
rag_batch_sizeNumber of VLM captions to be batched together for creating the graph.