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.
- You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: RK_NPU_SDK, fetch code: rknn
- 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)
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
Two ways are followed:
- Issues (Feedback recommended)
- QQ Group Chat: 1025468710 welcome for developer
QQ Group Chat