57 lines
1.8 KiB
Markdown
57 lines
1.8 KiB
Markdown
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# Support for ARM
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## Proposal State
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* [x] Proposed 10/31/2019
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* [x] Prototype: Skipped
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* [x] Implementation Started: 1/1/2020
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* [x] Feature Complete: 3/23/2020
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## Summary
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Support the Sensor and Body Tracking SDKs on ARM based boards.
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## Feature Scenario
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Support for ARM enables our customers to build more stand along solutions utilizing mini- PC platforms. This unlocks more scenarios around robotics, manufacturing and healthcare where an Azure Kinect DK should be more mobile. The feature is also the most asked feature on customer voice.
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## Supported Hardware
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We are considering to use 2 kinds of Jetson boards for the ARM support since most of our customers prefer these boards:
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- Jetson Nano
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- GPU: Custom 128 CUDA Core GPU
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- CPU: Quad-Core ARM Cortex-A57 @ 1.43 GHz
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- 4GB DDR4 RAM
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- Jetson TX2 (to run Body Tracking SDK)
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- GPU: Custom 256 CUDA Core GPU (Pascal architecture)
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- CPU: Dual-Core NVIDIA Denver 2 ARMv8 64-bit processor + Quad-Core ARM Cortex-A57 @ 1.43 GHz
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- 4GB / 8GB DDR4 RAM
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## Implementation
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There are several large adjustments need to be implemented:
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- Changes to Sensor SDK, Depth Engine, Body Tracking SDK and packaging repo's
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- Changes to the build process for Sensor SDK, Depth Engine and Body Tracking SDK
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- Changes to the test system for Sensor SDK, Depth Engine and Body Tracking SDK
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- Changes to the release process for both Linux and Windows.
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- Evaluate and make changes if needed to the depth engine code that uses SSE instructions.
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We will target releasing ARM binaries for Windows and Linux.
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## Packaging
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### Sensor SDK
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- Microsoft installer (MSI)
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- Nuget package (for Windows)
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- Deb package (For Ubuntu 18.04)
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### Body Tracking SDK
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- Microsoft installer (MSI)
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- Nuget package (For Windows)
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- Deb package (For Ubuntu 18.04)
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