Metadata-Version: 2.1
Name: rknn-toolkit2
Version: 2.5.0
Summary: Rockchip Neural Network Toolkit2. (commit: b8aa19d9)
Home-page: https://github.com/airockchip/rknn-toolkit2
Author: ai@rock-chips.com
Author-email: ai@rock-chips.com
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: POSIX :: Linux
Description-Content-Type: text/markdown
Requires-Dist: protobuf <=4.25.4,>=4.21.6
Requires-Dist: psutil >=5.9.0
Requires-Dist: ruamel.yaml >=0.17.21
Requires-Dist: scipy >=1.9.3
Requires-Dist: tqdm >=4.64.1
Requires-Dist: opencv-python >=4.5.5.64
Requires-Dist: fast-histogram >=0.11
Requires-Dist: numpy <=1.26.4
Requires-Dist: onnx <=1.18.0,>=1.16.1
Requires-Dist: onnxruntime >=1.17.0
Requires-Dist: torch <=2.4.0,>=1.10.1

# Introduction
RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms.

For more details, please refer to https://github.com/airockchip/rknn-toolkit2

# Download
- You can also download all packages, docker image, examples, docs and platform-tools from [RKNPU2_SDK](https://console.zbox.filez.com/l/I00fc3), fetch code: rknn

# Notes
- Currently RKNN-Toolkit2 is not compatible with [RKNN-Toolkit](https://github.com/airockchip/rknn-toolkit)
- Currently only support on:
  - Ubuntu 18.04 python 3.6/3.7
  - Ubuntu 20.04 python 3.8/3.9
  - Ubuntu 22.04 python 3.10/3.11
  - Ubuntu 24.04 python 3.12
