NI Vision Development Module 2019 SP1 x86/x64-0daytown

NI Vision Builder是一个交互式的开发环境，开发人员无需编程，即能快速完成视觉应用系统的模型建立；IMAQ Vision是一套包含各种图像处理函数的功能库，它将400多种函数集成到LabVIEW和Measurement Studio,LabWindows/CVI,Visual C++及Visual Basic开发环境中，为图像处理提供了完整的开发功能。

x86,x64 | Language:English | File Size: 2.69 GB

Description:
Vision Development Module (VDM) is designed to help you develop machine vision applications using LabVIEW or C/C++ and deploy those applications to Windows or NI Linux Real-Time hardware. With its comprehensive function library, you can access hundreds of image processing algorithms and machine vision functions to enhance images, check for presence, locate features, identify objects, measure parts, and more. VDM also includes the Vision Assistant, which is an algorithm engineering tool that simplifies vision system design by helping you develop algorithms for deployment on either CPUs or FPGAs.

Use the Vision Development Module to take an open and adaptable approach to machine vision software development. You can choose the right hardware for your application and configure cameras, acquire images, and analyze inspection results to build fully customized machine vision systems.

New Features in Vision Development Module 2019:
-Deep Learning OpenVINO™ Support
-Added new Deep Learning API (Under Machine Learning > Deep Learning) to support loading of OpenVINO™ models, Intermediate Representation (IR) format. The new VI added is IMAQ DL Model Create (OpenVINO).
-Added support for executing the OpenVINO™ IR models.
-Added Model Optimizer Support using python. Python scripts for converting models from Deep Learning frameworks like Tensorflow and Caffe to IR are provided. (More details about Model Optimizer and it’s usage are available here: %NI_MO_INSTALL_PATH%\Readme.md and %NI_MO_INSTALL_PATH%\Readme.html).
-The OpenVINO™ Inference APIs are supported on Linux RT, Windows.
-Vision FPGA
-Added support for Xilinx® Kintex® UltraScale™ FPGA IPs capable of processing 8 pixels in parallel, using the following VIs:
-IMAQ FPGA AutoBThreshold ICV ROI U8x8_DRAM256x2
-IMAQ FPGA AutoBThreshold ICV U8x8_DRAM256x2
-Video Support Improvements
-AVI Updates: Support for writing AVI files larger than 2 GB.
-New Codecs Installed: VP8, VP9.
-Support for parallel Match Pattern instances with the same template image.
Vision Assistant
-Template Editor improvements
-The Template Editor window is now resizable.
-Template masking improvements – Masks can be modified and not committed immediately, new magic wand tool to mask areas.
-New Auto Mask feature, detecting the object and masking the background automatically.

System Requirements:
OS:Windows 7 SP1 / Windows 8.1 / Windows 10 (x86-x64) Windows Embedded Standard 7 (SP1) / Windows Server 2008 R2 (SP1) 64-bit / Windows Server 2012 R2 64-bit
CPU:Pentium 4/M or equivalent
Memory:512 MB RAM
Display Assistant:1,152 × 864 resolution video adapter with a 24- or 32-bit display
Display for others:1,024 × 768 resolution video adapter with a 24- or 32-bit display
Space:3.2 GB

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