WJ430981 / rknn-toolkit

Introduction

RKNN-Toolkit is a software development kit that provides users with model conversion, inference and performance evaluation on PC and Rockchip NPU platforms(RK1808/RK1806/RK3399Pro/RV1109/RV1126).
RKNN-Toolkit-Lite provides Python programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications. Note:

• For the deployment of the RKNN model, please refer to:
  • RK1808/RK1806/RV1109/RV1126: https://github.com/rockchip-linux/rknpu
  • RK3399Pro: https://github.com/airockchip/RK3399Pro_npu
• For RK3566/RK3568/RK3588/RK3588S/RV1103/RV1106, please refer to:
  • https://github.com/rockchip-linux/rknn-toolkit2
  • https://github.com/rockchip-linux/rknpu2

Download

From version 1.3.0, some wheel packages are larger than 100MB, can not be uploaded directly. So, you need to go to the releases page to download. You can download from releases page: https://github.com/rockchip-linux/rknn-toolkit/releases

• All wheel packages are in compressed file: rknn-toolkit-v1.7.3-packages.tar.gz or rknn-toolkit-v1.7.3-packages.zip
• All examples, docs and platform-tools are in compressed file: Source code(zip) or Source code(tar.gz)
• You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: rknn-toolkit, fetch code: rknn
• You can download RKNN Toolkit Lite packages and examples from rknn-toolkit-lite

Checksums

MD5

7d672e911c26af34112bbfcfed86aef7  rknn_toolkit-1.7.3-cp35-cp35m-linux_aarch64.whl
e751a1c2782879dedbe3904448e07105  rknn_toolkit-1.7.3-cp36-cp36m-linux_x86_64.whl
20db420731b4976b15b0fbddef9984e3  rknn_toolkit-1.7.3-cp36-cp36m-macosx_10_15_x86_64.whl
1ebba11b78766cd320a470bb397578cb  rknn_toolkit-1.7.3-cp36-cp36m-win_amd64.whl
0cdd9c288a748bcef84848fd5dc12d80  rknn_toolkit-1.7.3-cp37-cp37m-linux_aarch64.whl
f06e1f88864c5a4759e4258cb536c38d  rknn_toolkit-1.7.3-cp37-cp37m-macosx_10_15_x86_64.whl
8e5c63a241b809b78ca65d226344d0eb  rknn_toolkit-1.7.3-cp38-cp38-linux_x86_64.whl

a24f157407e16bc255fc387404eb2030  rknn-toolkit-v1.7.3-packages.tar.gz
8dbeeecb06b9201b9f464909ad8d9544  rknn-toolkit-v1.7.3-packages.zip

4b50d8966908e80567843c3623e33d46  rknn_toolkit_lite-1.7.3-cp36-cp36m-linux_aarch64.whl
dc669361506646104e823d569055b849  rknn_toolkit_lite-1.7.3-cp36-cp36m-linux_x86_64.whl
15a26aad303769f8f2f38f5888529a57  rknn_toolkit_lite-1.7.3-cp36-cp36m-macosx_10_15_x86_64.whl
cd490d13dc1e40e24ab76100a9b82ced  rknn_toolkit_lite-1.7.3-cp36-cp36m-win_amd64.whl
17f10789ec42fdc687c3c02ef6dc1141  rknn_toolkit_lite-1.7.3-cp37-cp37m-linux_aarch64.whl
030a09ed522620aa6dfb4ccac578518b  rknn_toolkit_lite-1.7.3-cp37-cp37m-linux_armv7l.whl
079aaf9c2c39b2c2a6858688ed733973  rknn_toolkit_lite-1.7.3-cp37-cp37m-macosx_10_15_x86_64.whl
b1b32a4e8803dd9303ab1a72ae8deccf  rknn_toolkit_lite-1.7.3-cp38-cp38-linux_x86_64.whl

Feedback and Community Support

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• QQ Group Chat2: 547021958