This repository is no longer maintained and has been moved to https://github.com/airockchip/rknn-toolkit2/ . 本仓库不再维护,已经移到https://github.com/airockchip/rknn-toolkit2。 Description RKNN software stack can help users to quickly deploy AI models to Rockchip chips. The overall framew...
针对你遇到的错误信息 error: rknn_toolkit2-1.6.0+81f21f4d-cp38-cp38-linux_x86_64.whl is not a supported wheel on this platform,这里有几个可能的原因和相应的解决方案: 1. 检查Python版本 错误信息中提到的 cp38 表示该wheel文件是为Python 3.8编译的。你需要确认你的Python版本是否与wheel文件兼容。你...
Update RKNPU2 SDK to 1.6.0 Randall ZhuocommittedDec 13, 2023 2c2d03d Commits on Aug 31, 2023 [rknn_toolkit_lite2] Support python 3.11. raul.raocommittedAug 31, 2023 b2564c1 Commits on Aug 28, 2023 Update rknn-toolkit2/rknn-toolkit-lite2 to 1.5.2 Randall ZhuocommittedAug 28, ...
├── RKNNToolKit2_OP_Support-1.2.0.md ├── Rockchip_Quick_Start_RKNN_Toolkit2_CN-1.2....
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...
4.3 NPU 开发工具 本 SDK NPU 开发工具如下: RKNN-TOOLKIT2 : 开发工具在 external/rknn-toolkit2 目录下,主要用来实现模型转换,模型推理,模型性能评估功能等,具 体使用说明请参考当前 doc/ 的目录文档: ├── RKNNToolKit2_OP_Support_v1.0.0.md ├── Rockchip_Quick_Start_RKNN_Toolkit2_CN_v1.0.0....
error: external/rknn-toolkit2/: Cannot checkout rk/rknn-toolkit2 due to missing network sync; Run `repo sync -n rk/rknn-toolkit2` first. error: Cannot checkout rk/rknn-toolkit2 error: external/rknpu2/: Cannot checkout rk/rknpu2 due to missing network sync; Run `repo sync -n rk/...
rk356x_linux_release_v1.2.0_20211019_firefly_split.file4 neutionwei@x:~/Download/rk356x_...
rknn-toolkit==1.6.1 ruamel.yaml==0.15.81 scikit-learn==0.24.2 scipy==1.5.4 setuptools==59.6.0 six==1.16.0 sklearn==0.0 tensorboard==1.14.0 tensorflow==1.14.0 tensorflow-estimator==1.14.0 termcolor==1.1.0 threadpoolctl==3.1.0
本手册使用的是迅为提供的编译环境 ubuntu20.04,在网盘资料“iTOP-3568 开发板\03_ 【iTOP-RK3568 开发板】指南教程\05_NPU 开发配套资料\03_RKNN_Toolkit2 环境搭建\01 课程用到的资料\01_初始 Ubuntu20 虚拟机”路径下。这里的 ubuntu20 默认开发环境已经搭建好,推荐大家使用 Ubuntu20 开发环境。