Open eVision 25.06中的新功能
- 面向 EasyImage 的图像拼接
- EasyClassify 中的异常检测
- 新式高级校准
- New Open eVision Studio 中的更多工具
基于深度学习的光学字符识别库
© EURESYS S.A. - Subject to change without notice
4/2/2025 Datasheet 基于深度学习的光学字符识别库 ![]()
Main benefits规格Software
Image processing
Ordering Information
Offices
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EasyDeepOCR 是新一代的 OCR 库,它利用深度学习技术解决当今文本读取领域的难题。检测图中文本和识别字符完全自动进行。借助文本拓扑可以减少模糊不清的字符,同时剔除无关文本。只要几个样例就能进行优化,从而加快处理速度。EasyDeepOCR 在 EasyOCR 和 EasyOCR2 库的基础上进行了重大改进,兼具使用便捷和功能更强的特点。
Open eVision is a set of 64-bit libraries that require an Intel compatible processor with the SSE4 instruction set or an ARMv8-A compatible processor.
Open eVision can be used on the following operating systems:
Microsoft Windows 11, 10, 8.1, 7 for x86-64 (64-bit) processor architecture
Linux for x86-64 (64-bit) and ARMv8-A (64-bit) processor architectures with a glibc version greater or equal to 2.18
Remote connections
Remote connections are allowed using remote desktop, TeamViewer or any other similar software.
Virtual machines
Virtual machines are supported. Microsoft Hyper-V, Oracle VirtualBox and libvirt hypervisors have been successfully tested.
Only the Neo Licensing System is compatible with virtualization.
Minimum requirements:
2 GB RAM to run an Open eVision application
8 GB RAM to compile an Open eVision application
Between 100 MB and 2 GB free hard disk space for libraries, depending on selected options.
Supported programming languages :
The Open eVision libraries and tools support C++, Python and the programming languages compatible with the .NET Framework (C#, VB.NET)
C++ requirements: A compiler compatible with the C++ 11 standard is required to use Open eVision
Python requirements: Python 3.11 or later is required to use the Python bindings for Open eVision
.NET requirements: .NET Framework versions 4.8 or later are supported
Supported Integrated Development Environments:
Microsoft Visual Studio 2017 (C++, C#, VB .NET, C++/CLI)
Microsoft Visual Studio 2019 (C++, C#, VB .NET, C++/CLI)
Microsoft Visual Studio 2022 (C++, C#, VB .NET, C++/CLI)
QtCreator 4.15 with Qt 5.12
Monochrome and color images
Minimum text height: 12 pixels
Text line maximum aspect ratio: 20
Number of text lines in image: unlimited
Released
PC4191 Open EasyDeepOCR for USB dongle
PC4341 Open eVision EasyDeepOCR
PC6512 eVision/Open eVision USB Dongle (empty)
PC6514 Neo USB Dongle (empty)