⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
一、前置环境:在x86环境的Ubuntu中,将paddleocr模型转换为onnx,并将onnx转换为rknn模型一切顺利。 二、问题: 在rk3588上执行ocr的rknn模型时提示:[ERROR]:fastdeploy/fastdeploy_model.cc(183)::CreateRKNPUBackend There's no valid npu backends for model: ppocr/ocr_det
推理环境:RK3588 + Ubuntu20.04
FastDeploy部署: 【编译命令】通过官方指导文档安装部署FastDeploy 【系统平台】:RK3588 【硬件】: NPU 【编译语言】: Python 3.8 编译方法:
cd python export ENABLE_ORT_BACKEND=ON export ENABLE_RKNPU2_BACKEND=ON export ENABLE_VISION=ON export RKNN2_TARGET_SOC=RK3588
python3 setup.py build python3 setup.py bdist_wheel cd dist pip3 install fastdeploy_python-0.0.0-cp38-cp38-linux_aarch64.whl