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Brett Jia 9a8e48e3c4 rknn: initial rockchip object detector implementation (#1440 )

* rknn: initial rockchip object detector implementation

* update package-lock.json

* checkpoint fork-based implementation

* Revert "checkpoint fork-based implementation"

This reverts commit 9cc0493699.

* Revert "Revert "checkpoint fork-based implementation""

This reverts commit b6367f1d27.

* checkpoint new fork-based implementation

* checkpoint shared memory implementation

* Revert "checkpoint shared memory implementation"

This reverts commit 66f0c59421.

* Revert "checkpoint new fork-based implementation"

This reverts commit 158d64bea1.

* Revert "Revert "Revert "checkpoint fork-based implementation"""

This reverts commit ee86f383cb.

* Revert "Revert "checkpoint fork-based implementation""

This reverts commit b6367f1d27.

* Revert "checkpoint fork-based implementation"

This reverts commit 9cc0493699.

* refactor with ThreadPoolExecutors

* tell each runtime to use all cores

* Revert "tell each runtime to use all cores"

This reverts commit f7d0ce76f7.

* only install librknnrt.so if docker or lxc

* relax cpu requirements, update readme

* test rknn runtime on startup

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.vscode

rknn: initial rockchip object detector implementation (#1440 )

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src

rknn: initial rockchip object detector implementation (#1440 )

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.gitignore

rknn: initial rockchip object detector implementation (#1440 )

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.npmignore

rknn: initial rockchip object detector implementation (#1440 )

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package-lock.json

rknn: initial rockchip object detector implementation (#1440 )

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package.json

rknn: initial rockchip object detector implementation (#1440 )

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README.md

rknn: initial rockchip object detector implementation (#1440 )

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tsconfig.json

rknn: initial rockchip object detector implementation (#1440 )

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README.md

Rockchip NPU Object Detection for Scrypted

This plugin adds object detection capabilities to any camera in Scrypted using the NPU accelerator on ARM64 Rockchip CPUs. Functionality has been tested on RK3588S, but should also work on RK3562, RK3576, and RK3588.

Using this plugin in Docker requires Docker to be run with the --privileged flag. When using this plugin in a local install, ensure you have installed Rockchip's librknnrt.so as /usr/lib/librknnrt.so.