Artificial intelligence for industrial inspection
Developped with the support of the European Union.
eVision Libraries![]()
EasySegment
Deep Learning segmentation library
Unsupervised mode: train only with “good” images to detect and segment anomalies and defects in new images
Supervised mode: learn a model of the defects for better segmentation and detection precision
Works with any image resolution
Supports data augmentation and masks
Compatible with CPU and GPU processing
Includes the free Deep Learning Studio application for dataset creation, training and evaluation
Available as part of the Deep Learning Bundle
Also as cost effective inference-only license
EasySegment
© EURESYS S.A. - Subject to change without notice
12/18/2023 Datasheet Deep Learning segmentation library /--/uploads/2023/11/EasySegment.png)
Main benefitsOther benefitsSpecificationsSoftware
Ordering Information
Offices
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EasySegment
Highlights
EasySegment Description
EasySegment is the segmentation tool of Deep Learning Bundle. EasySegment performs defect detection and segmentation. It identifies parts that contain defects, and precisely pinpoints where they are in the image.
– The supervised mode of EasySegment works by learning a model of what is a defect and what is a “good” part in an image. This is done by training with images annotated with the expected segmentation. Then, the tool can be used to detect and segment the defects in new images.
The supervised mode of EasySegment achieves better precision and can segment more complex defects than the unsupervised mode thanks to the knowledge of the expected segmentation.
– The unsupervised mode of EasySegment works by learning a model of what is a “good” sample (i.e. a sample without any defect). This is done by training it only with images of “good” samples.
Then, the tool can be used to classify new images as good or defective and segment the defects from these images. By training only with images of good samples, the unsupervised mode of EasySegment is able to perform inspection even when the type of defect is not known beforehand or when defective samples are not readily available.
Main benefits
Other benefits
Deep Learning Bundle feature comparison
EasyClassify, EasySegment and EasyLocate can be purchased as part of the Deep Learning bundle or individually as inference only licenses.
DownloadLatest release
New in eVision 26.10
- The Open eVision product has been renamed to eVision and will appear under the Allied Vision brand
- New symbologies for EasyBarCode and improvements of EasyQRCode
- Line detection and hole filling features in EasyImage
- Support for the NVidia Jetson DLA (Deep Learning Accelerator)
- New tools and usability improvements for eVision Studio
- Reworked online documentation
Tools & applications
eVision Deep Learning Studio
eVision includes the free Deep Learning Studio application. This application assists the user during the creation of the dataset as well as the training and testing of the deep learning tool. For EasySegment, Deep Learning Studio integrates an annotation tool and can transform prediction into ground truth annotation. It also allows to graphically configure the tool to fit performance requirements. For example, after training, one can choose a tradeoff between a better defect detection rate or a better good detection rate.
This library can be purchased as part of a bundle or individually as inference only licenses
AICube project
AICube
Specifications
Software
- Host PC Operating System
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.
eVision can be used on the following operating systems:
Microsoft Windows 11, 10 for x86-64 (64-bit) processor architecture
Microsoft Windows 11, 10 IoT Enterprise for x86-64 systems
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 eVision application
8 GB RAM to compile an eVision application
Between 100 MB and 2 GB free hard disk space for libraries, depending on selected options.
- APIs
Supported programming languages :
The eVision libraries and tools support C++, Python and the programming languages compatible with the .NET (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 4.8 (or later) or the .NET platform 6.0 (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
Ordering Information
- Product status
Released
- Product code - Description
[PC4338] EasySegment (Neo)
[PC4188] EasySegment (Legacy USB Dongle)
[PC4238] EasySegment (Legacy PAR Dongle)
- Included libraries
EasySegment
- Related products
[PC6512] Legacy eVision/eVision USB Dongle (empty)
[PC6514] Neo USB Dongle (empty)
[PC6516] Neo USB Header (empty)
Download Area
Open eVision
Name
OS
Size
Type
Download
Release Notes
Current version 26.6
open_evision-release-notes-26.6.2+17043.pdf
706.17 KB
PDF
Intermediate versions
open_evision-release-notes-26.6.0+15363.pdf
695.33 KB
PDF
open_evision-release-notes-26.6.1+15958.pdf
705.95 KB
PDF
Setup Files
Current version 26.6
neo-linux-license-manager-arm64-3.1.4+382.deb
Linux
63.74 MB
DEB
neo-linux-license-manager-x86_64-3.1.4+382.deb
Linux
68.35 MB
DEB
open_evision-deep-learning-redist-linux-x86_64-26.6.2+17043.deb.tar.gz
Linux
2805.16 MB
TAR.GZ
open_evision-deep-learning-redist-linux-x86_64-26.6.2+17043.rpm.tar.gz
Linux
2684.6 MB
TAR.GZ
open_evision-deep-learning-redist-linux-arm64-26.6.2+17043.deb.tar.gz
Linux
777.04 MB
TAR.GZ
open_evision-linux-arm64-26.6.2+17043.deb.tar.gz
Linux
926.61 MB
TAR.GZ
open_evision-linux-x86_64-26.6.2+17043.deb.tar.gz
Linux
1330.73 MB
TAR.GZ
open_evision-linux-x86_64-26.6.2+17043.rpm.tar.gz
Linux
1309.85 MB
TAR.GZ
neo-win-license-manager-3.1.4+382.exe
Windows
266.17 MB
EXE
open_evision-win-deep-learning-studio-26.6.2+17043.exe
Windows
573.88 MB
EXE
open_evision-win-runtime-26.6.2+17043.exe
Windows
596.69 MB
EXE
open_evision-win-deep-learning-redist-26.6.2+17043.exe
Windows
1804.43 MB
EXE
open_evision-win-26.6.2+17043.exe
Windows
1422.98 MB
EXE
open_evision-win-license-manager-3.1.4+382.msi
Windows
29.6 MB
MSI
open_evision-win-studio-26.6.2+17043.msi
Windows
734.43 MB
MSI
Intermediate versions
open_evision-deep-learning-redist-linux-x86_64-26.6.1+15958.deb.tar.gz
Linux
2805.16 MB
TAR.GZ
open_evision-deep-learning-redist-linux-x86_64-26.6.1+15958.rpm.tar.gz
Linux
2684.59 MB
TAR.GZ
open_evision-deep-learning-redist-linux-arm64-26.6.1+15958.deb.tar.gz
Linux
777.03 MB
TAR.GZ
open_evision-linux-arm64-26.6.1+15958.deb.tar.gz
Linux
926.56 MB
TAR.GZ
open_evision-linux-x86_64-26.6.1+15958.deb.tar.gz
Linux
1330.75 MB
TAR.GZ
open_evision-linux-x86_64-26.6.1+15958.rpm.tar.gz
Linux
1309.67 MB
TAR.GZ
open_evision-win-deep-learning-studio-26.6.1+15958.exe
Windows
573.88 MB
EXE
open_evision-win-runtime-26.6.1+15958.exe
Windows
596.68 MB
EXE
open_evision-win-deep-learning-redist-26.6.1+15958.exe
Windows
1804.4 MB
EXE
open_evision-win-26.6.1+15958.exe
Windows
1422.99 MB
EXE
open_evision-win-studio-26.6.1+15958.msi
Windows
734.43 MB
MSI
open_evision-deep-learning-redist-linux-x86_64-26.6.0+15363.deb.tar.gz
Linux
2805.14 MB
TAR.GZ
open_evision-deep-learning-redist-linux-x86_64-26.6.0+15363.rpm.tar.gz
Linux
2684.59 MB
TAR.GZ
open_evision-deep-learning-redist-linux-arm64-26.6.0+15363.deb.tar.gz
Linux
777.02 MB
TAR.GZ
open_evision-linux-arm64-26.6.0+15363.deb.tar.gz
Linux
926.68 MB
TAR.GZ
open_evision-linux-x86_64-26.6.0+15363.deb.tar.gz
Linux
1330.71 MB
TAR.GZ
open_evision-linux-x86_64-26.6.0+15363.rpm.tar.gz
Linux
1309.63 MB
TAR.GZ
open_evision-win-deep-learning-studio-26.6.0+15363.exe
Windows
573.88 MB
EXE
open_evision-win-runtime-26.6.0+15363.exe
Windows
596.69 MB
EXE
open_evision-win-deep-learning-redist-26.6.0+15363.exe
Windows
1804.36 MB
EXE
open_evision-win-26.6.0+15363.exe
Windows
1422.98 MB
EXE
open_evision-win-studio-26.6.0+15363.msi
Windows
734.42 MB
MSI
Additional Resources
Current version 26.6
open_evision-win-deep-learning-additional-resources-26.6.2+17043.msi
Windows
1310.39 MB
MSI
open-evision-deep-learning-additional-resources-26.6.2+17043.noarch.rpm
Linux
1288.23 MB
RPM
open_evision-deep-learning-additional-resources-26.6.2+17043.deb
Linux
1305.75 MB
DEB
Samples_For_Embedded_Platforms-26.6.2+17043.zip
Linux
20.94 MB
ZIP
Easy3D Calibration Models 26.6.0+15363.zip
445.82 KB
ZIP
Easy3D Sensors Compatibility 26.6.0+15363.zip
17.94 MB
ZIP
Intermediate versions
open_evision-win-deep-learning-additional-resources-26.6.1+15958.msi
Windows
1310.39 MB
MSI
open-evision-deep-learning-additional-resources-26.6.1+15958.noarch.rpm
Linux
1288.21 MB
RPM
open_evision-deep-learning-additional-resources-26.6.1+15958.deb
Linux
1305.75 MB
DEB
Samples_For_Embedded_Platforms-26.6.1+15958.zip
Linux
20.94 MB
ZIP
open_evision-win-deep-learning-additional-resources-26.6.0+15363.msi
Windows
1310.39 MB
MSI
open-evision-deep-learning-additional-resources-26.6.0+15363.noarch.rpm
Linux
1288.14 MB
RPM
open_evision-deep-learning-additional-resources-26.6.0+15363.deb
Linux
1305.75 MB
DEB
Samples_For_Embedded_Platforms-26.6.0+15363.zip
Linux
20.94 MB
ZIP
Documentation
Current version 26.6
open_evision-win-offline-documentation-en-26.6.0.1236.exe
Windows
263.46 MB
EXE
open_evision-win-offline-documentation-en-jp-26.6.0.1236.exe
Windows
543.97 MB
EXE
open_evision-win-offline-documentation-en-ko-26.6.0.1236.exe
Windows
528.66 MB
EXE
open_evision-win-offline-documentation-en-cn-26.6.0.1236.exe
Windows
542.37 MB
EXE
open_evision-linux-offline-documentation-en-26.6.0.1236.tar.gz
Linux
396.54 MB
TAR.GZ
open_evision-linux-offline-documentation-en-ko-26.6.0.1236.tar.gz
Linux
800.67 MB
TAR.GZ
open_evision-linux-offline-documentation-en-cn-26.6.0.1236.tar.gz
Linux
818.56 MB
TAR.GZ
open_evision-linux-offline-documentation-en-jp-26.6.0.1236.tar.gz
Linux
820.54 MB
TAR.GZ
Product note
- 32-bit applications were supported up to Open eVision 23.04
- Other End of Life Announcements are detailed in Open eVision release notes
eVision
Name
OS
Size
Type
Download
Release Notes
Current version 6.7.1
eVision 6.7.1.490 Release Notes.pdf
413.06 KB
PDF
Intermediate versions
eVision 6.7.1.137 ReleaseNotes.pdf
214.55 KB
PDF
eVision 6.7.1.248 ReleaseNotes.pdf
231.52 KB
PDF
eVision 6.7.1.299 ReleaseNotes.pdf
236.79 KB
PDF
eVision 6.7.1.383 ReleaseNotes.pdf
557.15 KB
PDF
eVision 6.7.1.393 ReleaseNotes.pdf
560.55 KB
PDF
eVision 6.7.1.397 ReleaseNotes.pdf
561.63 KB
PDF
ReleaseNotes.pdf
247.62 KB
PDF
eVision 6.7.1.422 ReleaseNotes.pdf
380.44 KB
PDF
eVision 6.7.1.440 ReleaseNotes.pdf
392.79 KB
PDF
eVision 6.7.1.449 ReleaseNotes.pdf
394 KB
PDF
eVision 6.7.1.456 ReleaseNotes.pdf
321.82 KB
PDF
eVision 6.7.1.464 ReleaseNotes.pdf
320.13 KB
PDF
eVision 6.7.1.487 Release Notes.pdf
430.99 KB
PDF
eVision 6.7.1.0 ReleaseNotes.pdf
135.54 KB
PDF
ReleaseNotes.pdf
102.55 KB
PDF
ReleaseNotes.pdf
62.17 KB
PDF
ReleaseNotes.pdf
105.32 KB
PDF
Documentation
Current version 6.7.1
Documentation Update since CD2006-1.pdf
Windows
189.56 KB
PDF
Documentation Update for CD2006-1.pdf
Windows
538.49 KB
PDF
Readme - eVision Update Tool.pdf
Windows
809.8 KB
PDF
Intermediate versions
Readme - eVision Update Tool.pdf
Windows
330.56 KB
PDF
Readme - eVision Update Tool.pdf
Windows
330.62 KB
PDF
Readme - eVision Update Tool.pdf
Windows
330.62 KB
PDF
Readme - eVision Update Tool.pdf
Windows
330.62 KB
PDF
Readme - eVision Update Tool.pdf
Windows
330.62 KB
PDF
Readme - eVision Update Tool.pdf
Windows
330.62 KB
PDF
Readme_Patch.rtf
Windows
215.28 KB
RTF
Readme - eVision Update Tool.pdf
Windows
330.62 KB
PDF
Readme - eVision Update Tool.pdf
Windows
809.8 KB
PDF
Documentation Update for CD2006-1.pdf
Windows
538.49 KB
PDF
Readme - eVision Update Tool.pdf
Windows
809.8 KB
PDF
Documentation Update for CD2006-1.pdf
Windows
538.49 KB
PDF
Readme - eVision Update Tool.pdf
Windows
809.8 KB
PDF
Documentation Update for CD2006-1.pdf
Windows
538.49 KB
PDF
Readme - eVision Update Tool.pdf
Windows
809.8 KB
PDF
Documentation Update for CD2006-1.pdf
Windows
538.49 KB
PDF
Readme - eVision Update Tool.pdf
Windows
809.8 KB
PDF
Documentation Update since CD2006-1.pdf
Windows
189.56 KB
PDF
Readme_Patch.rtf
Windows
114.02 KB
RTF
Documentation Update since CD2006-1.pdf
Windows
189.56 KB
PDF
Readme_Patch.rtf
Windows
114.02 KB
RTF
Documentation Update since CD2006-1.pdf
Windows
189.56 KB
PDF
Readme_Patch.rtf
Windows
214.66 KB
RTF
Setup Files
Current version 6.7.1
eVision_Update_6_7_1_490.exe
Windows
37.93 MB
EXE
eVision_6_7_1_0.iso.iso
Windows
504.14 MB
ISO
Intermediate versions
eVision_Update_6_7_1_137.exe
Windows
30.15 MB
EXE
eVision_Update_6_7_1_248.exe
Windows
30.35 MB
EXE
eVision_Update_6_7_1_299.exe
Windows
30.4 MB
EXE
eVision_Update_6_7_1_383.exe
Windows
30.41 MB
EXE
eVision_Update_6_7_1_393.exe
Windows
30.41 MB
EXE
eVision_Update_6_7_1_397.exe
Windows
30.41 MB
EXE
NET Components.zip
Windows
1.84 MB
ZIP
eVision_Update_6_7_1_422.exe
Windows
31.5 MB
EXE
eVision_Update_6_7_1_440.exe
Windows
37.78 MB
EXE
eVision_Update_6_7_1_449.exe
Windows
37.88 MB
EXE
eVision_Update_6_7_1_456.exe
Windows
37.88 MB
EXE
eVision_Update_6_7_1_464.exe
Windows
37.88 MB
EXE
eVision_Update_6_7_1_487.exe
Windows
37.9 MB
EXE
NET Components.zip
Windows
1.89 MB
ZIP
NET Components.zip
Windows
1.84 MB
ZIP
NET Components.zip
Windows
1.84 MB
ZIP
Product note
Please use Open eVision instead for new developements.
Still not sure about the performance of Open eVision in your application?
We offer you a free evaluation of your vision application by our team of product specialists, using Open eVision's Deep Learning libraries and tools.
In order to be able to work on your project, we need as much information as possible about what you are trying to achieve. What are your requirements in terms of accuracy and processing time? Which platform (CPU / GPU, Windows / Linux, Intel / ARM) do you plan to use? How are your images captured? How are they annotated / labelled, etc.