Python test images

EMAN2 includes a good selection of test images. They come in many shapes and forms, from simple gradients and shapes to basic noise models.

test_image (2D)

At present there are 10 2D test images that are accessible using the test_image function, which is defined in EMAN2.py.

#] e2.py

Welcome to EMAN2
Prompt provided by IPython
Enter '?' for ipython help

In [3]: e = test_image(0,size=(256,256))

In [4]: display(e)

If you don't specify the size argument the returned image is 128x128. The following table shows each of the currently defined test_images.


`test_image(0)`: The EMAN scurve	`test_image(1)`: Gaussian noise

`test_image(2)`: Dark square	`test_image(3)`: Light square

`test_image(4)`: Scurve and random frequency line wave	`test_image(5)`: Axes

`test_image(6)`: Random frequency line wave	`test_image(7)`: Scurve and directional gradient

`test_image(8)`: Randomly rotated and translated scurve	`test_image(9)`: Scurve and Gaussian noise

test_image_3d (3D)

At present there are 6 3D test images that are accessible using the test_image_3d function, which is defined in EMAN2.py.

#] e2.py

Welcome to EMAN2
Prompt provided by IPython
Enter '?' for ipython help

In [3]: e = test_image_3d(0)

In [4]: display(e)

The following table shows the currently available 3D test images.


`test_image_3d(0)`: Axes	`test_image_3d(1)`: Spherical waves

`test_image_3d(2)`: Tomography test image	`test_image_3d(3)`: Solid cube

`test_image_3d(4)`: Solid sphere	`test_image_3d(5)`: Rotated ellipse with holes

Using the processor framework

2D

To create a test image using the processor framework 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


`e.process_inplace("testimage.gradient")`	`e.process_inplace("testimage.gradient", {'axis','y'})`

`e.process_inplace("testimage.axes")`	`e.process_inplace("testimage.circlesphere")`

`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)

You can write the image to disk if you need to:

In [7]: e.write_image("scurve.img")

In [8]: e.write_image("scurve.mrc")

Also, a great many of the test images work on 3D (and 1D) images, so feel free to play around.

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-Describe EMAN2/Galleries/Testimages here.
+<<TableOfContents>>
= Python test images  =
EMAN2 includes a good selection of test images. They come in many shapes and forms, from simple gradients and shapes to basic noise models.

== test_image (2D)  ==

At present there are 10 2D test images that are accessible using the test_image function, which is defined in EMAN2.py.

{{{

#] e2.py

Welcome to EMAN2
Prompt provided by IPython
Enter '?' for ipython help

In [3]: e = test_image(0,size=(256,256))

In [4]: display(e)

}}}

If you don't specify the size argument the returned image is 128x128. The following table shows each of the currently defined test_images.

||<:>{{attachment:test_0.png}} ||<:>{{attachment:test_1.png}}||
||<:>{{{test_image(0)}}}: The EMAN scurve ||<:> {{{test_image(1)}}}: Gaussian noise ||
||<:>{{attachment:test_2.png}} ||<:>{{attachment:test_3.png}}||
||<:>{{{test_image(2)}}}: Dark square ||<:>{{{test_image(3)}}}: Light square ||
||<:>{{attachment:test_4.png}} ||<:>{{attachment:test_5.png}}||
||<:>{{{test_image(4)}}}: Scurve and random frequency line wave ||<:>{{{test_image(5)}}}: Axes ||
||<:>{{attachment:test_6.png}} ||<:>{{attachment:test_7.png}}||
||<:>{{{test_image(6)}}}: Random frequency line wave ||<:>{{{test_image(7)}}}: Scurve and directional gradient ||
||<:>{{attachment:test_8.png}} ||<:>{{attachment:test_9.png}}||
||<:>{{{test_image(8)}}}: Randomly rotated and translated scurve ||<:>{{{test_image(9)}}}: Scurve and Gaussian noise ||

== test_image_3d (3D) ==

At present there are 6 3D test images that are accessible using the test_image_3d function, which is defined in EMAN2.py.

{{{

#] e2.py

Welcome to EMAN2
Prompt provided by IPython
Enter '?' for ipython help

In [3]: e = test_image_3d(0)

In [4]: display(e)

}}}

The following table shows the currently available 3D test images.

||<:>{{attachment:test_3d_0.png}} ||<:>{{attachment:test_3d_1.png}}||
||<:>{{{test_image_3d(0)}}}: Axes ||<:>{{{test_image_3d(1)}}}: Spherical waves ||
||<:>{{attachment:test_3d_2.png}} ||<:>{{attachment:test_3d_3.png}}||
||<:>{{{test_image_3d(2)}}}: Tomography test image ||<:>{{{test_image_3d(3)}}}: Solid cube ||
||<:>{{attachment:test_3d_4.png}} ||<:>{{attachment:test_3d_5.png}} ||
||<:>{{{test_image_3d(4)}}}: Solid sphere ||<:>{{{test_image_3d(5)}}}: Rotated ellipse with holes ||


= Using the processor framework =

== 2D ==
To create a test image using the processor framework 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)

}}}

You can write the image to disk if you need to:

{{{
In [7]: e.write_image("scurve.img")

In [8]: e.write_image("scurve.mrc")

}}}

Also, a great many of the test images work on 3D (and 1D) images, so feel free to play around.