airockchip / rk3399pro_npu Goto Github PK
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License: Apache License 2.0
请问当前rk3399pro 1.7.3版本的driver和c api是稳定的吗?准备集成一下哈哈
同一个rknn模型,batchsize为4的图像推理时间大约是batchsize为1的 四倍左右,呈线性增长,
是否有优化推理速度的方式,感谢回复!
我的开发版是Tinker Edge R
当前运行系统为官方的debain V2.0.5
需要说明的是我升级的是 [email protected]:airockchip/RK3399Pro_npu.git这个链接下的boot.img
重装系统后我直接使用的是RKNN1.7.3
版本,如果没有更新boot.img
运行测试软件发现没有问题可以正常使用,但是我跟新boot.img重启后运行信息如下:
我实在是不知道该怎么解决,我不用更新是不是也能正常使用?请指教一下?
请问一下有人遇到过以下问题吗?已发帖子求助,感激不尽!!! python代码+USB摄像头目标检测报错
我在python3.8执行了python的目标检测demo,python3 rockx_object_detection.py,报新的错误AttributeError: /home/firefly/.local/lib/python3.8/site-packages/rockx/sdk/rockx-rk3399pro-Linux/lib64/librockx.so: undefined symbol: rockx_carplate_align_v2
我看网友遇到类似的问题,还没解决 TB-3399ProD开发板,跑Rockx1.4.4异常
根据文档里面提示,确认我手上的rk3399pro开发板是pcie模式,全局搜索npu_fw目录,发现在/usr/share下面有三个类似目录,分别是
npu_fw、npu_fw_pcie、npu_fw_pcie_optimization,这种情况应该更新哪个目录下的固件?
备注:
这边是一年前刷的rk3399pro官方的ubuntu18.04的操作系统
目前我们的边缘推理亟需多容器运行,而且需要支持容器下发更新,而 npu_transfer_proxy 需要共用的特性不允许这样部署和更新算法应用。关键是 npu image更新和完成一次重置之后,只有第一次建立联系的 npu_transfer_proxy 进程能够支持推理服务使用NPU硬件,一旦这个进程被停掉了,后续再次启动 npu_transfer_proxy 进程,推理服务也都无法使用NPU, 这个问题怎么解决?
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