[python-dtcwt] 417/497: Undid accidental removal of some overlay_quiver blurb
Ghislain Vaillant
ghisvail-guest at moszumanska.debian.org
Tue Jul 21 18:06:34 UTC 2015
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ghisvail-guest pushed a commit to branch debian/sid
in repository python-dtcwt.
commit 4656a14175c58fbd6b4c9382a864cc232c3cbd07
Author: scf32 <scf32 at cam.ac.uk>
Date: Fri Feb 14 14:37:06 2014 +0000
Undid accidental removal of some overlay_quiver blurb
---
dtcwt/plotting.py | 48 ++++++++++++++++++++++++++++++------------------
1 file changed, 30 insertions(+), 18 deletions(-)
diff --git a/dtcwt/plotting.py b/dtcwt/plotting.py
index d118292..7f04fdd 100644
--- a/dtcwt/plotting.py
+++ b/dtcwt/plotting.py
@@ -14,28 +14,40 @@ __all__ = (
def overlay_quiver(image, vectorField, level, offset):
"""Overlays nicely coloured quiver plot of complex coefficients over original full-size image,
- providing a useful phase visualisation. image should be of type UINT8. vectorField is a single
- [MxNx6] numpy array of DTCWT coefficients, level specifies the transform level of vectorField.
- Offset for DTCWT coefficients is typically 0.5. Should also work with other types of complex
- arrays (e.g., SLP coefficients), as long as the format is the same.
-
+ providing a useful phase visualisation.
+
+ :param image: array holding grayscale values on the interval [0, 255] to display
+ :param vectorField: a single [MxNx6] numpy array of DTCWT coefficients
+ :param level: the transform level (1-indexed) of *vectorField*.
+ :param offset: Offset for DTCWT coefficients (typically 0.5)
+
+ .. note::
+
+ The *level* parameter is 1-indexed meaning that the third level has
+ index "3". This is unusual in Python but is kept for compatibility
+ with similar MATLAB routines.
+
+ Should also work with other types of complex arrays (e.g., SLP
+ coefficients), as long as the format is the same.
+
Usage example:
-
- .. ipython::
-
- In [0]: lena = datasets.lena()
-
- In [0]: lena_t = transform2d.forward(lena, nlevels=3)
-
- In [0]: figure()
-
- @savefig gen-overlay_quiver.png
- In [0]: dtcwtplt.overlay_quiver(lena, lena_t.subbands[-1], 3, 0.5)
-
+
+ .. plot::
+ :include-source: true
+
+ import dtcwt
+ import dtcwt.plotting as plotting
+
+ lena = datasets.lena()
+
+ transform2d = dtcwt.Transform2d()
+ lena_t = transform2d.forward(lena, nlevels=5)
+
+ plotting.overlay_quiver(lena*255, lena_t.highpasses[-1], 5, 0.5)
+
.. codeauthor:: R. Anderson, 2005 (MATLAB)
.. codeauthor:: S. C. Forshaw, 2014 (Python)
"""
-
# Make sure imshow() uses the full range of greyscale values
imshow(image, cmap=cm.gray, clim=(0,255))
hold(True)
--
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