一、下载rknn-toolkit2包: sudogit clone https://gitclone.com/github.com/airockchip/rknn-toolkit2 二、安装 进入到所在包的位置,然后解压: unziprknn-toolkit2-master.zip 进入rknn-toolkit-lite2所在路径: cd rknn-toolkit2-master/rknn-toolkit-lite2/packages/ 安装对应的版本: pipinstallrknn_toolkit_lit...
if __name__ == '__main__': # 创建RKNN对象 rknn = RKNN(verbose=True) # 设置模型转换参数,这里可以指定平台,添加target_platform='rk3588'配置,默认rk3566 # mean_values是设置输入的均值,std_values是输入的归一化值 print('--> Config model') rknn.config(mean_values=[[0, 0, 0]], std_va...
Banana Pi BPI-W3 Rockchip RK3588开发板测试armbian Linux系统 1341 -- 1:06 App Banana Pi BPI-R64 OpenWRT系统演示 623 1 1:02 App Banana Pi BPI-F3 同时播放9个本地1080P电影,视频无卡顿,丢帧 1079 -- 0:40 App Banana Pi BPI-W3 NAS 开源路由器开发板采用瑞芯微 RK3588设计,板载8G内存和32G...
1 首先也需要部署运行环境,将库文件放入 RK3588 开发板上,我们将网盘资料“iTOP-3588 开发 板 \02_ 【 iTOP-RK3588 开发板】开发资料 \12_NPU 使用配套资料 \05_Linux_librknn_api\librknn_api\aarch64”路径下的文件通过U盘拷贝到开发板的/usr/lib 目录,如下图所示: 2 下载网盘资料中“iTOP-3588 开发...
TB-RK3588SD-Power rknn-toolkit2¶ RKNN-Toolkit2是为用户提供在PC平台上进行Rockchip芯片NPU模型转换、推理和性能评估的开发套件。 提示 请先下载源代码再进行阅读本章节内容 目录概况如下: edge/external/rknn/rknn-toolkit2$ tree -L 1 . ├── doc ├── examples ├── LICENSE ├── packages └...
使用rknn_toolkit_lite2在RK3588上部署模型,运行rknn_lite.inference时出现E RKNN: failed to submit! Op id:3 , op name: conv:inputs.3_Conv_pads_conv, flags: 0x5, task start:0,task number:218,run task number:218 , run task counter: 146 int status: 0模型推理精度大幅下降。
但是在示例中需要用到这个模块,所以安装时也一并安装。如果不用到图像相关 的处理,可以不安装该依赖库 apt-get install -y python3-opencv apt-get install -y python3-numpy 3 安装依赖包 setuptools,输入以下命令: pip install -i h t t p s : / /p y p i . t u n a . t s i n g h u...
target_platform :rk3588 custom_string: a label of model. remove_weight : size can be done.but need more model. compress_weight: reduce weight area. single_core_mode: only run on one NPU-core. model_pruning: reduce size op_target: the model can be run on cpu/npu/gpu/auto... export...
we are trying to run the simple resnet18 model on aarch64 platform and get the following error. D Starting ntp or adb, target soc is RK3588, device id is: None E RKNN: [16:12:13.845] failed to open rknpu module, need to insmod rknpu dirv...
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...