> on which you can enter your commands.
> show(edges(lena))You can of course assign intermediate results to variables
> tmp = edges(lena) > show(tmp)
> show(spectrum)
> show(spectrum*blur(edges(lena)))
The demo can be downloaded from here and it
requires version 0.2.0 of the PyFX framework. It comes with a simple
demo application called demo.py in which various filters
can be tried out in real time. For a small list of different filters
which can be applied please see the enclosed script.txt
file.
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This is the initial image you will see when starting the demo
application. You should also get an interactive prompt
> on which you can enter your commands.
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Applying and edge-detection filter to this image is as simple as
> show(edges(lena))You can of course assign intermediate results to variables > tmp = edges(lena) > show(tmp) |
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Showing a different image is simply
> show(spectrum) |
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Now we can take the spectrum image above and do per-pixel and
per-channel multiplication with the blurred edge detected
version of lena by simply
> show(spectrum*blur(edges(lena))) |