系统要求

操作系统

Windows 10/11, Linux Ubuntu 20.04/22.04/24.04/26.04 [1] or Jetson Linux 36/39

独立 GPU

A dedicated GPU gives the best performance with Zivid. It is also the best choice if the GPU will be used for more than Zivid's computations. A medium to high-end NVIDIA GPU with at least 3 GB of memory is required for optimal performance. This is the preferred solution for Zivid.

建议：

  • NVIDIA GeForce GTX 1060 or better.

  • NVIDIA GeForce MX150 or better.

带有集成 GPU 的 CPU

This is the most cost-efficient solution for Zivid. The benefit of an integrated GPU is that the data transfer from GPU to CPU is fast. It is also beneficial for applications that require low power consumption, e.g., battery-powered mobile platforms. A high-end integrated GPU with at least 3 GB of memory available is required for optimal performance.

建议：

  • Intel i7 with HD630 or better.

以太网

最高性能：

  • 10GBASE-T (10G Copper Ethernet) adapter connected via PCI Express or Thunderbolt 3.

降低性能：

  • 1000BASE-T and NBASE-T (1G, 2.5G, and 5G over copper) connections.

建议：

  • ASUS XG-C100C 10G Network Adapter PCI-E x4 Card.

  • QNAP QNA series Thunderbolt 3 to 10GbE Adapter.

GPU compute backend

Zivid SDK runs on one of two GPU compute backends, chosen when you install the SDK:

CUDA

For NVIDIA GPUs (recommended).

Requires an NVIDIA driver that supports CUDA 12 or newer (check with nvidia-smi).

OpenCL

For Intel and NVIDIA GPUs.

See 关于GPU for driver installation and how to select a compute device.

如果您需要计算设备的建议，请查看 推荐的工业 PC 。

版本历史

SDK

变更

2.18.0

Added support for Ubuntu 26.04. Updated the supported Jetson Linux versions from 35/36 to 36/39.

2.17.0

增加了对 Zivid 3 XL250 的支持。

2.14.0

增加了对 Zivid 2+ MR130、LR110 和 MR60 的支持。

2.12.0

Zivid One+ 已达到其生命周期的终点并且不再受支持。