Based on the great work of john-guo, a more general version for the extension.
Features
Built-in editor for viewing images:
Support in Jupyter notebooks
Support view image from expression
NOTE when using this feature, the expression is actually executed, so beware of side-effects
Support plot (matplotlib, plotly) view
Currently supports:
matplotlib.pyplot.Figure
matplotlib.pyplot.Axis
plotly Figure (saving backend is needed, see here)
Support Tensor view: pytorch and numpy
numpy.ndarray is considered a tensor if it has 4 channels, or 3 channels but it does not pass as an single image. scikit-image is required for this.
Hover over image variable to see the image shape (sometime it's not visible/easy to find in the general debug hover).
Watch view
Added a watch view, for watching image/plot/tensor variables, while refreshing the image-view at each breakpoint.
Support custom python expressions (again, beware of side-effects)
Q & A
Memory blows-up when using the extension.
It might happen when (very) large, non-numpy array object, is being used.
The solution to it is to set the restrictImageTypes setting to true (should be by default).
Selecting different call-stack frame does not work as expected.
Use the command: Debug View Python: Update Frame ID.
Why:
I couldn't find a way to get the current frame, if it was changed by the user (again and again).
So, I've added a command to force VSCode "tell" me the current frame.
It's a bit hacky, but it works, I think.
