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| EMAN2 includes a good selection of test images. They come in many shapes and forms, from simple gradients and shapes to basic noise models. To create a testimage start by running e2.py, and creating an empty image that is appropriately, 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 of the command embedded below in the table to generate the pixel values |
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| ||{{{ e.process_inplace("testimage.gradient")}}}||{{{ e.process_inplace("testimage.gradient", {'axis','y'}) }}}|| | |
| Line 3: | Line 22: |
| ||{{{ e.process_inplace("testimage.axes")}}}||{{{ e.process_inplace("testimage.circlesphere") }}}|| | |
| Line 4: | Line 24: |
| ||{{{ e.process_inplace("testimage.scurve")}}}||{{{ e.process_inplace("testimage.noise.gauss") }}}|| |
EMAN2 includes a good selection of test images. They come in many shapes and forms, from simple gradients and shapes to basic noise models. To create a testimage start by running e2.py, and creating an empty image that is appropriately, 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 of the command embedded below in the table to generate the pixel values
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") |