Sample Programs

Image Processing ↗

Sample	The sample program demonstrates how to:	Image	C++	C#	Qt	CMake	Vb	Python
● Basic	● Display an image. ● Display and graphically interact with an ROI.		✓	✓	✓		✓
● BasicWPF	● Display an image in a WPF context. ● Display and graphically interact with an ROI.		✓
● ConsoleBasic	● Initialize and release the Open eVision library. ● Check for a specific license. ● Load an image and perform a simple processing on it.	—	✓	✓		✓
● Region	● Create an ERegion and use it to restrict Open eVision processing to its domain.		✓	✓	✓
● RegionFreeHand	● Create an ERegion using the ERegionFreeHandPainter.		✓	✓
● EasyImageFilter	● Apply filter operations on a loaded image.		✓	✓	✓		✓	✓
● FourierFiltering	● Compute the direct Fourier transform. ● Compute the inverse Fourier transform.		✓	✓	✓
● EasyColorComponent	● Retrieve one component of a color image after converting it from RGB to a given color space.		✓	✓	✓		✓	✓
● EasyHDRFusion	● Perform an HDR Fusion on a specific set of images.		✓	✓
● HDR					✓
● EGrabberBridge	● Use the EGrabberBridge functionality to import and use images produced by an object eGrabber with Open eVision.		✓	✓

3D Processing ↗

Sample	The sample program demonstrates:	Image	C++	C#	Qt	CMake	Vb	Python
● Easy3DViewer	● Use most of the features of the Easy3D class E3DViewer. ● Convert 3D files formats. ● Use a point picking.		✓	✓	✓
● Easy3DViewerWPF	● Display an E3DViewer in a WPF context.		✓
● Easy3DPhotometricStereo	● Apply photometric stereo to several images to retrieve their albedo, gradients, curvatures or height map.		✓	✓
● Easy3DPointCloudToMesh	● Generate a mesh from a point cloud.		✓	✓
● Easy3DZMapGenerator	● Generate a ZMap from a mesh or a point cloud.		✓	✓
● Easy3DProcessing2D	● Load a depth map. ● Apply a 2D operator (the text reading tool EasyOCR2) on the gray scale pixel values.		✓
● Easy3DMultiViews	● Load and display point clouds in multiple instances of the class E3DViewer.		✓	✓	✓
● Easy3DPCBWarpage	● Measure the warpage of a PCB with Easy3D.		✓
● Easy3DCoaxlinkLLE	● Acquire depth maps from a Coaxlink 3D LLE frame grabber and optionally save them.		✓
● Easy3DLaserLineCalibration	● Compute and save the calibration model. ● Apply the calibration to a depth map. ● Save the resulting point cloud.		✓
● Easy3DLaserLineExtract	● Create a depth map from a series of profile images using the software laser line extractor.		✓		✓
● Easy3DObjectExtract	● Load an image. ● Set the X, Y and Z resolutions. ● Display the corresponding point cloud and the extracted 3D objects.		✓	✓	✓
● Easy3DMatchMatch	● Match a sample (point cloud or ZMap) on a reference (3D mesh, point cloud or ZMap).		✓	✓
● Easy3DMatchAlign	● Align a sample (point cloud or ZMap) on a reference (3D mesh, point cloud or ZMap).		✓	✓	✓
● Easy3DMatchPointCloudMerger	● Merge several point clouds by using a calibration procedure with a specific object.		✓	✓

Matching and Measurement ↗

Sample	The sample program demonstrates:	Image	C++	C#	Qt	CMake	Vb	Python
● EasyGaugeBasic	● Load an image and apply a gauge from EasyGauge, chosen between a Point Gauge, a Line Gauge, a Rectangle Gauge, a Circle Gauge, a Wedge Gauge and a Polygon Gauge. ● Implement graphical edition of the gauge geometry. ● Set and display the main parameters of the gauges: the transition polarity, the choice of measure and various display options.		✓	✓	✓		✓
● EasyGaugeRegion	● Load an image and apply a gauge from EasyGauge, chosen between a Rectangle Gauge and a Circle Gauge. ● Create a region corresponding to the gauge from the result. ● Perform a blob encoding operation on it.		✓
● EasyGaugePolygon	● Use the class EPolygonGauge of the EasyGauge library. ● Edit the geometry of the gauge and change the main parameters. ● Configure various display options.		✓	✓
● EasyFindLearn	● Load an image. ● Move and size the region of interest to define the pattern. ● Learn the pattern in the region of interest. ● Change the tolerances using the Tolerances menu. ● Find the pattern using the Find menu.		✓	✓	✓		✓	✓
● EasyFindVectorLearn	● Use EasyFind with vectorized learning patterns. In this mode, learning is done on collections of 2D geometrical shapes rather than rasterized patterns. ● Open a DXF or Open eVision vector model with File > Open Model. Right-click to change the polarity of a transition. ● Save the vector model with the edited polarity. ● Learn the pattern with the button Learn. ● Open a search image and find the pattern with the button Find .		✓	✓	✓
● EasyMatchLearn	● Use the class EPolygonGauge of the EasyGauge library. ● Edit the geometry of the gauge and change the main parameters. ● Configure various display options.		✓	✓	✓		✓	✓
● EasyObjectEChecker2	● Specify the inspection area. ● Select fiducials for the localization and the alignment of the inspection area. ● Train the method and apply it on new images.		✓	✓
● EasyObjectInertia	● Find blobs (objects or holes that have the same gray level range) in the image. ● Keep only the blobs whose area is in a given range.		✓	✓	✓		✓	✓

Deep Learning Inspection ↗

Sample	The sample program demonstrates:	Image	C++	C#	Qt	CMake	Vb	Python
● EasyClassifyTrain	● Train an EasyClassify tool in console mode.	—	✓	✓
● EasyClassifyInference	● Perform an inference with EasyClassify. ● Display the results.		✓	✓	✓			✓
● EasyClassifyMultiThreadInference	● Perform a multithread inference with EasyClassify. ● Implement external and internal multithreading.			✓
● EasySegmentSupervisedTrain	● Train an EasySegment Supervised tool in console mode.	—	✓	✓
● EasySegmentSupervisedInference	● Perform an inference with EasySegment Supervised. ● Display the results.		✓	✓	✓			✓
● EasySegmentSupervisedMultiThreadInference	● Perform a multithread inference with EasySegment Supervised in console mode. ● Implement external and internal multithreading.	—	✓
● EasySegmentUnsupervisedTrain	● Train an EasySegment Unsupervised tool in console mode.	—	✓	✓
● EasySegmentUnsupervisedInference	● Perform an inference with EasySegment Unsupervised. ● Display the results.		✓	✓	✓			✓
● EasyLocateTrain	● Train an EasyLocate tool in console mode.	—	✓	✓
● EasyLocateInference	● Perform an inference with EasyLocate. ● Display the results.		✓	✓	✓			✓
● EasyLocateMultiThreadInference	● Perform a multithread inference with EasyLocate. ● Implement external and internal multithreading.				✓

Text and Code Reading ↗

Sample	The sample program demonstrates:	Image	C++	C#	Qt	CMake	Vb	Python
● EasyCodeReading	● Read a bar code, a data matrix and a QR code in an image with a single read call.		✓	✓				✓
● EasyBarCodeRead	● Read a 1D bar code in an image.		✓	✓	✓		✓	✓
● EasyBarCodeReadMail	● Read a mail bar code in an image.		✓	✓
● EasyMatrixCodeRead	● Read a data matrix code in an image.		✓	✓	✓			✓
● EasyQRCodeRead	● Read a QR code in an image.		✓	✓	✓		✓	✓
● EasyOcrRead	● Read a text inside the ROI of an image using EasyOCR (superseded by EasyOCR2). ● Use a configuration based on a OCR font file (.ocr).		✓
● EasyOcr2Read	● Read a text inside the ROI of an image.		✓	✓	✓		✓	✓

Python Specific ↗

Sample		The sample program demonstrates:	Image	Python
eGrabber	● egrabber_acquisition	● Acquire images through the eGrabber camera API. ● Manipulate the images.		✓
OpenCV camera	● openCV_acquisition (OpenCV Camera Acquisition)	● Acquire images through the OpenCV camera API ● Manipulate the images.		✓
OpenGL	● easy3d_viewer	● Display a 3D resource (cloud or mesh) within an Open eVision 3DViewer using OpenGL and SDL2.		✓
Qt	● easy_find_learn	● Learn a pattern. ● Find it in an image using EasyFind in a Qt application.		✓
	● easy_gauge_basic	● Make subpixel measurements with EasyGauge in a Qt application.		✓
VimbaX	● vimbax_acquisition	● Acquire images through the VimbaX camera API ● Manipulate the images.		✓
Base Web	● Base Web	● Make image acquisition in a web server. ● Perform image processing. ● Broadcast the images using HTTP to any remote client through a web browser.		✓
Basic Tkinter	● Basic Tkinter	● Perform and rotate and scale an image. ● Display the image using the Tkinter GUI framework.		✓