In this article, we will see how we can set the mask to the image view object in PyQTGaph. The PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in designing and science applications. Its primary goals are to provide fast, interactive graphics for displaying data (plots, video, etc.). Widgets are used for display and analysis of image data, implements many features like displaying 2D and 3D image data. For 3D data, a z-axis slider is displayed allowing the user to select which frame is to be displayed. It Displays a histogram of image data with a movable region defining the dark/light levels, editable gradient provides a color lookup table. Mask hides the selected part of the image view, the image view will be still there but the user will not be able to see it i.e there will be a mask on it. Only the selected region will be visible to other regions will have a mask.
We can create an image view with the help of the command given below
# creating a pyqtgraph image view object imv = pg.ImageView()
To set a mask to an image view, we use the setMask() method with the image view object.
Syntax : imv.setMask(region)
Argument : It takes QRegion object as argument
Return : It returns None
Below is the program to set a mask to an image view using PyQTGraph module:
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