Release 2022.1
Pre-release
Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Zoo
The Intel® DL Streamer Pipeline Zoo is a catalog of media and media analytics pipelines optimized for Intel® hardware. It includes tools for downloading pipelines and their dependencies and tools for measuring their performance.
Pipelines are organized according to the task they perform (what types of input they accept and what types of output they generate). Tasks and pipelines are defined in a platform and framework independent way to allow implementations in a variety of frameworks and for multiple platform targets.
IMPORTANT:
The Intel® DL Streamer Pipeline Zoo is provided as a set of tools for system evaluation and benchmarking and is not intended for deployment into production environments without modification.
The project is pre-production and under active development. Please expect breaking changes and use tagged versions for stable functionality.
For the details of supported platforms, please refer to System Requirements section.
New in this Release
| Title | High-level description |
|---|---|
| Alignment with Intel® DL Streamer Pipeline Framework 2022.1 | Pipeline Zoo now uses the 2022.1 image of Intel® DL Streamer Pipeline Framework as its base image |
| Compatibility with OpenVINO™ Toolkit 2022.1 | Pipeline Zoo has been updated to use the 2022.1 version of the OpenVINO™ Toolkit |
| New models added | New object detection and object classification pipelines were added. These are based on the following models:
* efficient-b0 * ssdlite-mobilenet-v2 |
| Platform support updates | Pipeline Zoo has added full support for Alder Lake and Tiger Lake platforms |
| Improved Benchmarking | Time to compute stream density on high density cores was significantly reduced |
Changed in this Release
- Naming aligned with Intel® DL Streamer product version
Full Changelog: v0.0.6...v0.0.7
System Requirements
Please refer to Intel® DL Streamer documentation.
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