nathanzabriskie / graphcut Goto Github PK
View Code? Open in Web Editor NEWGraph cut image segmentation with custom GUI.
Graph cut image segmentation with custom GUI.
Hello, thanks of your contribution about such good work.
I am using graph neural network to parcel brain region, however the result is not good, I want to use graph cut as post process.
The inputs of my current model are: adjacency matrix (10242, 10242), feature matrix (10242, 6), label matrix (10242). The output is the probability y that each node belongs to a label, and its dimension is (10242, 36)
I want to use graph cut to update y for better performance.
I have a few questions about your code:
First, most of graph cut is only for two categories. Can you do multi label tasks?
Second, if I want to do post-processing, what should my input be?
I can not install PyQt4 on my system, could you give some suggestion, thanks!
@staticmethod
def get_qimage(cvimage):
print(cvimage.shape)
height, width, bytes_per_pix = cvimage.shape
bytes_per_line = width * bytes_per_pix;
cv2.cvtColor(cvimage, cv2.COLOR_BGR2RGB, cvimage)
return QImage(cvimage.data, width, height, bytes_per_line, QImage.Format_RGB888)
Otherwise the image will display abnormally.
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