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.

   1 #] e2.py
   2 
   3 Welcome to EMAN2
   4 Prompt provided by IPython
   5 Enter '?' for ipython help
   6 
   7 In [3]: e = test_image(0,size=(256,256))
   8 
   9 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.

   1 #] e2.py
   2 
   3 Welcome to EMAN2
   4 Prompt provided by IPython
   5 Enter '?' for ipython help
   6 
   7 In [3]: e = test_image_3d(0)
   8 
   9 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:

   1 #] e2.py
   2 
   3 Welcome to EMAN2
   4 Prompt provided by IPython
   5 Enter '?' for ipython help
   6 
   7 In [3]: e = EMData()
   8 
   9 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

   1 In [5]: e.process_inplace("testimage.scurve")
   2 
   3 In [6]: display(e)

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

   1 In [7]: e.write_image("scurve.img")
   2 
   3 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.

-  ⇤ ← Revision 21 as of 2008-01-31 15:14:16 → 
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  Comment:
+   ← Revision 49 as of 2009-02-04 21:10:04 → ⇥
  Size: 3923
  Editor: DavidWoolford
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-Deletions are marked like this.
+Additions are marked like this.
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-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:
+<<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.
-Line 3:
+Line 5:
-{{{
+== 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.

{{{#!python

#] 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.

{{{#!python

#] 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:

{{{#!python
-Line 19:
+Line 85:
-||attachment:xcoord.png ||attachment:ycoord.png||
+||<:>{{attachment:xcoord.png}} ||<:>{{attachment:ycoord.png}}||
-Line 21:
+Line 87:
-||attachment:axes.png|| attachment:circle.png ||
+||<:>{{attachment:axes.png}}||<:>{{attachment:circle.png}} ||
-Line 23:
+Line 89:
-||attachment:scurve.png|| attachment:gaussnoise_large.png||
+||<:>{{attachment:scurve.png}}||<:>{{attachment:gaussnoise_large.png}}||
-Line 28:
+Line 94:
-{{{
+{{{#!python
-Line 37:
+Line 103:
-{{{
+{{{#!python