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rk35xx-android12/hardware/rockchip/rknn-toolkit2
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hmz007 6d24f2138b
Rockchip Anroid12_SDK 20220721-rkr10 (e1522e56) 		3 years ago
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doc Rockchip Anroid12_SDK 20220721-rkr10 (e1522e56) 3 years ago
examples Rockchip Anroid12_SDK 20220721-rkr10 (e1522e56) 3 years ago
packages Rockchip Anroid12_SDK 20220721-rkr10 (e1522e56) 3 years ago
rknn_toolkit_lite2 Rockchip Anroid12_SDK 20220721-rkr10 (e1522e56) 3 years ago
LICENSE Rockchip Anroid12_SDK 20220721-rkr10 (e1522e56) 3 years ago
README.md Rockchip Anroid12_SDK 20220721-rkr10 (e1522e56) 3 years ago

README.md

Introduction

RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106).

RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform (RK3566, RK3568, RK3588, RK3588S) to help users deploy RKNN models and accelerate the implementation of AI applications.

Download

  • You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: RK_NPU_SDK, fetch code: rknn

Notes

  • Currently rknn-toolkit2 is not compatible with rknn-toolkit
  • Currently only support on Ubuntu 18.04 python 3.6 / Ubuntu 20.04 python 3.8
  • If you have problem about RKNN-Toolkit2, it is recommended to create a issue or get answers from Issues.
  • Latest version:1.3.0(Release version)

Checksums

MD5

69ffac3f944cf682acf563245e532405  packages/rknn_toolkit2-1.3.0_11912b58-cp36-cp36m-linux_x86_64.whl

f37e2296e631587b929a75028dd235bf  packages/rknn_toolkit2-1.3.0_11912b58-cp38-cp38-linux_x86_64.whl

f269a9cf3fa209b2615efdd0711f3f18  docker/rknn-toolkit2-1.3.0-cp36-docker.tar.gz

db40be96541a121b4c77109d829089b6  docker/rknn-toolkit2-1.3.0-cp38-docker.tar.gz

4dff57052f94a9c080774ab0e6af1d56  rknn_toolkit_lite2/packages/rknn_toolkit_lite2-1.3.0-cp37-cp37m-linux_aarch64.whl

1085cd7ee4bb18ef17b03d66e5428d69  rknn_toolkit_lite2/packages/rknn_toolkit_lite2-1.3.0-cp39-cp39-linux_aarch64.whl

Feedback and Community Suport

Two ways are followed:

  • Issues (Feedback recommended)
  • QQ Group Chat: 1025468710 welcome for developer

QQ Group Chat