PylonSample_OpenCV_Linux

PylonSample_OpenCV_Linux:

Just a short starting point for developing applications with OpenCV and Basler Pylon.

Initial basic sample is in C++.

This can be done in a few ways, but the core is two steps:

1. Convert the incoming image to a format that OpenCV likes

2. Create an OpenCV image from the converted image.

An example is:

// The Pylon Image Format Converter will convert whatever format the grabbed buffer is in to a desired format.

CImageFormatConverter formatConverter;

// We configure the converter to use BGR8 because this is liked by OpenCV

formatConverter.OutputPixelFormat= PixelType_BGR8packed;

// We create a "Pylon Image" container to hold the converted image

CPylonImage pylonImage;

// Create an OpenCV image

Mat openCvImage;

**// Convert the grabbed buffer

formatConverter.Convert(pylonImage, ptrGrabResult);**

**// Create an OpenCV image from the pylon image

openCvImage= cv::Mat(ptrGrabResult->GetHeight(), ptrGrabResult->GetWidth(), CV_8UC3, (uint8_t *) pylonImage.GetBuffer());**