EasyFindVectorLearn

Support

Required licenses

EasyFind

Recommended images

Any gray level image from the folder Sample Images\EasyFind

Location

[…]C:\Users\Public\Documents\Euresys\Open eVision 25.02\Sample Programs
\[LANGUAGE] samples\Matching and Measurement\EasyFindVectorLearn

Python: […]C:\Users\Public\Documents\Euresys\Open eVision 25.02\Sample Programs
\Python samples\Console samples\Matching and Measurement

C++:

C:\Users\Public\Documents\Euresys\Open eVision 25.02\Sample Programs\MsVc samples\Matching and Measurement\EasyFindVectorLearn
C#:

C:\Users\Public\Documents\Euresys\Open eVision 25.02\Sample Programs\MsVcs samples\Matching and Measurement\EasyFindVectorLearn
Qt:

C:\Users\Public\Documents\Euresys\Open eVision 25.02\Sample Programs\Qt samples\Matching and Measurement\EasyFindVectorLearn
Python

C:\Users\Public\Documents\Euresys\Open eVision 25.02\Sample Programs\Python samples\Console samples\Matching and Measurement
  These links work only if you installed the sample programs in the default folder together with Open eVision.

Purpose

EasyFind learns then finds patterns inside images.

This sample program demonstrates how to:

□ 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 .

Code highlights

1. Define a model as a collection of shapes. 
EVectorModel vectorModel;
2. Load the vector model from a file. 
vectorModel.Load(fileName);
3. Load the vector model from a DXF file. 
vectorModel.LoadDXF(fileName);
4. Set the scale of the vector model with respect to the search image. 
vectorModel.GetRoot().GetWorldShape()->SetScale(fScale);
5. Set the polarity of any shape in the vector model. 
shape.SetProperty(“polarity”,”direct”);
6. Learn a vector pattern. 
patternfinder.Learn(vectorModel);
7. Find the pattern that you previously learned inside the image.
► Retrieve the results as a vector of EFoundPatterns. 
std::vector<EFoundPattern> foundPatterns = patternfinder.Find(image);
8. Draw the vector model and show the polarity as arrows pointing from a dark to light transition. 
vectorModel.Draw(…);
9. Draw a found pattern in the same reference frame as the search image. 
foundPatterns[n].Draw(…);