Savant 0.5.1: DeepStream 7.0 and new features

After eight months of development, we proudly present you with Savant 0.5.1. The new Savant is based on DeepStream 7.0 (Savant 0.4 is based on DeepStream 6.4) and includes new samples (34 ready-to-use real-world samples), enhancements, and bug fixes.

We recommend using Savant 0.5.x for the production environment and new projects. Version 0.4.x becomes legacy and will not get updates except for critical bug fixes.

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Choosing A Camera For Computer Vision Wise: Resolution, Image Quality, Lens and Software

Cameras play the most important role in computer vision projects. Often, the quality of the picture captured by a camera influences way more than the sophistication of the computer vision models used in the solution. The truth is that without a proper camera, implementing a state-of-the-art solution matching business needs is often impossible. For example, facial and optical character recognition applications require high-quality, expensive cameras to deliver a pixel-perfect image to the system. Often, computer vision engineers and product sponsors/owners do not understand the characteristics and meet the situation when the solution is not even possible in the wild.

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Savant 0.4.8 is Out: A Bugfix Release

We released a minor update to Savant 0.4.x, including a bug fix found by a user. The bug concerns JSON/image/video sink adapters. The partial fix was implemented in 0.4.7.

The new release is available by the link.

Full Changelogv0.4.7…v0.4.8

Platform: DeepStream 6.4
JetPack (Jetson): 6.0

Docs: https://docs.savant-ai.io/v0.4.8/

dGPU Images:

docker pull ghcr.io/insight-platform/savant-deepstream:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-deepstream:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-gstreamer:0.4.8
docker pull ghcr.io/insight-platform/savant-adapters-py:0.4.8
docker pull ghcr.io/insight-platform/savant-deepstream-extra:0.4.8-6.4

Jetson Images:

docker pull ghcr.io/insight-platform/savant-deepstream-l4t:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-deepstream-l4t:0.4.8-6.4
docker pull ghcr.io/insight-platform/savant-adapters-gstreamer-l4t:0.4.8
docker pull ghcr.io/insight-platform/savant-adapters-py-l4t:0.4.8
docker pull ghcr.io/insight-platform/savant-deepstream-l4t-extra:0.4.8-6.4

Savant 0.4.1 is Out. Spotlight: Advanced Video Processing Features

Savant 0.4.1 continues 0.4.x release cycle, introducing several new features, multiple bug fixes, and sample updates. It is built on DeepStream 6.4 / JetPack 6.0 and widely tested on Jetson Orin Nano, Orin NX, Turing, Ampere, and Ada Lovelace discrete GPUs. In this release, we focused on testing problems that our customers and community users discovered in 0.4.0. Also, we developed an auxiliary watchdog service for pipeline health monitoring.

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Dump and Replay Video Traffic with Buffer Adapter

In video streaming applications, reproducing the results is crucial for quality estimation, troubleshooting, and code improvement. Unfortunately, it is not easy because data is streaming. Thus, developers need utilities that allow them to record traffic and replay it at the same rate and timing to simulate the real sources. Sometimes, developers can use video files instead of live sources like RTSP or USB cameras.

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Auxiliary Video Stream Support In Savant

Savant recently made a massive step towards hardware-accelerated video transcoding and composition. Previous versions did not allow users to produce auxiliary or custom video streams inside modules, which made it difficult to create customized dashboards, change video resolution, or build video compositions, like 2×2 video walls composing four streams in a single image.

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Savant 0.4.0: Advanced Adapters, Developer Tools, Video Archiving and Re-Streaming

Savant 0.4.0 is out. This release focuses on system usability, interfacing, advanced computer vision, and video analytics. It is based on the state-of-the-art DeepStream 6.4. Savant moves towards the frontier of creating omnipresent computer vision and video analytical systems working in hybrid mode on the edge and in the data centers.

Unlike commonly used computer vision frameworks like PyTorch, TensorFlow, OpenVINO/DlStreamer, and DeepStream, Savant offers its users not only inference and image manipulation tools but also advanced architecture for building distributed edge/datacenter computer vision applications communicating over the network. Thus, Savant users focus on computer vision but do not reinvent the wheel, productizing their pipelines. So, what is new in Savant v0.4.0?

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