EasyFindVectorLearn¶

Support
Required licenses	EasyFind
Recommended images	Any gray level image from the folder `Sample Images/EasyFind`
Location	`Matching and Measurement/EasyFindVectorLearn` and `Console samples/Matching and Measurement` with Python

Purpose¶

EasyFind learns then finds patterns inside images.

This sample program demonstrates how to:

Use with vectorized learning patterns. In this mode, learning is done on collections of 2D geometrical shapes rather than rasterized patterns.
Open a DXF or 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 .

Define a model as a collection of shapes.
```
EVectorModel vectorModel;
```
Load the vector model from a file.
```
vectorModel.Load(fileName);
```
Load the vector model from a DXF file.
```
vectorModel.LoadDXF(fileName);
```
Set the scale of the vector model with respect to the search image.
```
vectorModel.GetRoot().GetWorldShape()->SetScale(fScale);
```
Set the polarity of any shape in the vector model.
```
shape.SetProperty("polarity", "direct");
```
Learn a vector pattern.
```
patternfinder.Learn(vectorModel);
```
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);
```
Draw the vector model and show the polarity as arrows pointing from a dark to light transition.
```
vectorModel.Draw(...);
```
Draw a found pattern in the same reference frame as the search image.
```
foundPatterns[n].Draw(...);
```