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Also, a great many (if not all) of the test images work on 3D (and 1D) images, so feel free to play around. |
EMAN2 includes a good selection of test images that can be generated in no time at all. They come in many shapes and forms, from simple gradients and shapes to basic noise models. To create a test image start by running e2.py and by creating an empty image that is appropriately sized, for example as follows:
#] e2.py Welcome to EMAN2 Prompt provided by IPython Enter '?' for ipython help In [3]: e = EMData() In [4]: e.set_size(256,256)
Then issue one of the commands shown below in the table to generate the test image
attachment:xcoord.png |
attachment:ycoord.png |
e.process_inplace("testimage.gradient") |
e.process_inplace("testimage.gradient", {'axis','y'}) |
attachment:axes.png |
attachment:circle.png |
e.process_inplace("testimage.axes") |
e.process_inplace("testimage.circlesphere") |
attachment:scurve.png |
attachment:gaussnoise_large.png |
e.process_inplace("testimage.scurve") |
e.process_inplace("testimage.noise.gauss") |
Note that this is not all of the test images, and that you can get a complete list by typying e2help.py processors on the command prompt (or see http://blake.bcm.edu/eman2/processors.html). Finally, you can display the image
In [5]: e.process_inplace("testimage.scurve")
In [6]: display(e)Also, a great many (if not all) of the test images work on 3D (and 1D) images, so feel free to play around.