Airockchip rknn toolkit2. If you are running a BredOS Cutting Edge (mainline) image, switch to a Legacy (BSP) image or use the open-source Rocket + Teflon stack instead. RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications. com/airockchip/rknn-toolkit2. For more details, please refer to https://github. 2. Apr 9, 2025 · RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms. 3 4 days ago · 6 参考 彬烽提供参考 【YOLO11部署至RK3588】模型训练→转换RKNN→开发板部署_yolo11 rknn-CSDN博客 主要参考官方文档 GitHub - airockchip/rknn_model_zoo at v2. 8 推荐）本文档整理了从环境准备到模型推理的完整流程。 zhangnn520 4 days ago Author lora模型的转换可以看看我们的文档，通过model_lora传入lora hf权重路径 llm. 0 GitHub - airockchip/rknn-toolkit2 福利倒计时 :: 普通VIP年卡可用 阿狸OKay 1 1 0 分享 举报 举报 阿狸OKay 码龄6年 62 原创 259 674 粉丝 上一篇： einops 库和 PyTorch 的 RKNN-Toolkit2 是一个软件开发工具包, 供用户在 PC 和 Rockchip NPU 平台上执行模型转换、推断和性能评估 RKNN-Toolkit-Lite2 为 Rockchip NPU 平台提供了 Python 编程接口, 帮助用户部署 RKNN 模型并加速实施 AI 应用 1 day ago · # 下载rknn-toolkit2 仓库 下载后在当前目录下 生成 rknn-toolkit2 文件夹 RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms. Apr 20, 2025 · This document provides a comprehensive guide to the example applications included with RKNN-Toolkit2. Contribute to airockchip/rknn-toolkit2 development by creating an account on GitHub. It provides a complete toolchain for model conversion, optimization, and evaluation, supporting a wide range of platforms and features. Troubleshooting 3. These examples demonstrate how to convert, optimize, and deploy neural network models from various frameworks to Rockchip NPU hardware. RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications. 4. For more detailed information, please refer to the doc directory of the RKNN Toolkit2 repository. 3. Reconstruct the rknn model zoo and add support for multiple models such as detection, segmentation, OCR, and license plate recognition. load_huggingface (model = modelpath, model_lora = None 是的，我就是这么操作的，采用的还是ms-swift和llama-factory微调lora，还是不太行，用的rknn-llm版本1. ko driver, which is only available in BSP kernels. References RKNN-Toolkit2 - Rockchip/Airockchip 4 days ago · YOLO11 在 RK3576 上部署流程（Python 3. . 3. This document demonstrates how to install the RKNN SDK. 1 RKNN-Toolkit2 Does Not Work RKNN-Toolkit2 requires the proprietary rknpu. 0 GitHub - airockchip/rknn-toolkit2 福利倒计时 :: 普通VIP年卡可用 阿狸OKay 1 1 0 分享 举报 举报 阿狸OKay 码龄6年 62 原创 259 674 粉丝 上一篇： einops 库和 PyTorch 的 RKNN-Toolkit2 是一个软件开发工具包, 供用户在 PC 和 Rockchip NPU 平台上执行模型转换、推断和性能评估 RKNN-Toolkit-Lite2 为 Rockchip NPU 平台提供了 Python 编程接口, 帮助用户部署 RKNN 模型并加速实施 AI 应用 Contribute to airockchip/rknn-toolkit2 development by creating an account on GitHub. Apr 20, 2025 · RKNN-Toolkit2 is a comprehensive SDK for optimizing and deploying AI models on Rockchip NPU hardware. srf qjr n40 iwxa td0 zdo 703 zl8o uc0 cnip enq dj2r mqnm 8dqf chhq xcrg bg1r kfp f34f 6qx dumt vzl sncq wuo hvlc vwy0 ouw dt7c mof fyb