Mailman 3 August 2006 - SciPy-User

hough transform
by stephen emslie Aug. 4, 2006

Aug. 4, 2006

I'd like to perform a hough transform ( http://en.wikipedia.org/wiki/Hough_transform) on an image as part of a template matching algorithm. I've looked around scipy and numpy and I couldn't find any sign of the Hough transform, but it seems to be a fairly routine operation in image processing so I was wondering if anyone had written an implementation (or perhaps if it is already in scipy and I'm just missing it). Any other information on template matching with scipy would be greatly appreciated. Thanks! Stephen Emslie

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Pycluster, Numeric, & numpy
by R. Padraic Springuel Aug. 4, 2006

Aug. 4, 2006

I'm trying to do some cluster analysis and running into a small problem. The cluster package which is included in scipy only does k-means style clustering, and I need to do hierarchical clustering as well. So I downloaded Pycluster which has that ability. However, Pycluster uses Numeric, which I no longer have since scipy was upgraded to use numpy instead. Does anyone have any experience with updating packages to use numpy instead of Numeric? I tried replacing the "from Numeric import *" line in Pycluster with "from numpy import *" but this creates a program fault which crashes Python. -- R. Padraic Springuel Teaching Assistant Department of Physics and Astronomy University of Maine Bennett 214 Office Hours: By Appointment only during the Summer

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segfault in scipy.optimize.leastsq
by basvandijk＠home.nl Aug. 4, 2006

Aug. 4, 2006

Hello, When running the following example from http://www.tau.ac.il/~kineret/amit/scipy_tutorial I get an segmentationfault in leastsq: -------------------------- from scipy import * from numpy import * x = arange(0,6e-2,6e-2/30) A,k,theta = 10, 1.0/3e-2, pi/6s y_true = A*sin(2*pi*k*x+theta) y_meas = y_true + 2*randn(len(x)) def residuals(p, y, x): A,k,theta = p err = y-A*sin(2*pi*k*x+theta) return err def peval(x, p): return p[0]*sin(2*pi*p[1]*x+p[2]) p0 = [8, 1/2.3e-2, pi/3] print array(p0) from scipy.optimize import leastsq plsq = leastsq(residuals, p0, args=(y_meas, x)) print plsq[0] print array([A, k, theta]) -------------------------- Note that C:\Python24\Lib\site-packages\scipy\optimize\tests\test_optimize.py also gives an error. I'm running Python 2.4.3, Scipy 0.5.0 and numpy 1.0b1. What can be the problem? Greetings, Bas van Dijk

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Re: [SciPy-user] Pycluster, Numeric, & numpy
by R. Padraic Springuel Aug. 3, 2006

Aug. 3, 2006

> Yes, I have. I took the easy way out: replacing references to Numeric with > numpy, and then fixing the few places where pycluster crashes. I did this > last summer so my memory isn't fresh. I'll try to figure it out again for > you. > > By the way, there was talk in the mailing list a couple months ago about > including pycluster into SciPy. The catch is that pycluster relies on a > Numerical Recipies random number generator. So there would have to be a > branch that rips it out of the C code and replaces it with something from > the numpy library. > > john Problem is that my interpreter crash is not giving me any traceback errors, so I can't figure out which line(s) is(are) causing the problem. -- R. Padraic Springuel Teaching Assistant Department of Physics and Astronomy University of Maine Bennett 214 Office Hours: By Appointment only during the Summer

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ANN: Python 2.4.3 Enthought Edition 1.1.0 alpha1
by Rick Ratzel Aug. 3, 2006

Aug. 3, 2006

In keeping with the "release early, release often" mantra of the open source community, Enthought is pleased to announce Python Enthought Edition Version 1.1.0 alpha1. Information page: http://code.enthought.com/enthon/enstaller.shtml Download link: http://code.enthought.com/enstaller/enthought_setup-1.1.0.alpha.msi About Python Enthought Edition 1.1.0 alpha1: -------------------------------------------- This alpha release of 1.1.0 Python Enthought Edition is the first Enthought distribution (and the first Python distribution that we know of) to use individual egg packages (http://peak.telecommunity.com/DevCenter/PythonEggs) rather than a monolithic .exe installer. Python Enthought Edition 1.1.0 alpha1 introduces the "Enstaller" application, which manages selecting, downloading, and installing Python eggs. The initial installer program installs the standard Python software and runs a small script, which downloads, installs, and runs Enstaller. From within Enstaller, you can select individual egg packages from Enthought's egg repository, or select the "enthon-1.1.0" package, which installs everything listed in the 1.1.0 alpha1 distribution. Python 2.4.3, Enthought Edition 1.1.0 is available only for Windows for the alpha1 release. It includes eggs for the following packages: Numpy SciPy IPython wxPython PIL mingw MayaVi Scientific Python VTK and many more... After installing Python Enthought Edition 1.1.0 alpha1, you can launch Enstaller again later, to upgrade, uninstall, inspect, or add new packages to your Python installation. More information is available about this and all other open source software written or released by Enthought, Inc., at <http://code.enthought.com>. A Note About the License ------------------------ The Enstaller application, released under the same BSD2 Open Source License as all other Enthought Open Source, is and will remain free. Access to Enthought's egg repository is free to all during the alpha and beta test phases, and will remain free for individual and academic use. After the official release of Enstaller, commercial and government users will be asked to pay a nominal, per-seat, annual fee if they'd like continued access to the egg repository (to help defray the costs of maintaining the repository). The Enstaller application may be used to access other egg repositories (i.e. the Python Cheese Shop--see release notes below), not just Enthought's repository. 1.1.0 alpha1 Release Notes -------------------------- This release is early alpha and has several known bugs, as well as a long list of features that have not yet been implemented. Some of the more obvious ones are listed below: * An egg of the standard documents that are typically included in Python Enthought Edition releases is not yet available. * An egg of the complete Enthought Tool Suite (ETS), a package typically available in Python Enthought Edition releases, is not yet available. However a subset of the ETS that includes Traits and TraitsUI is installed with Enstaller. * The uninstall feature does not properly uninstall a package if it is in use by any other process, including Enstaller. * In some cases, installing a package that is already installed causes errors. * The metadata about an installed package might not display in the Enstaller dialog box, in most cases because the installed package does not include metadata. This issue will improve as Enthought enhances the eggs available in the Enthought egg repository, * Packages that modify the system registry (typically, adding directories to the search PATH) require the user to log out and then log back in before the settings take effect. * Changing the "find_links" preference, which allows you to add additional repositories to search for eggs, often causes a traceback inspector to appear. You can safely close the inspector and add the new repository. * Some packages that launch post-install scripts can display error messages if they fail for any reason, which can require manual intervention. These errors are usually caused by inadequate permissions for creating or moving files. * Accessing the Cheese Shop repository takes a very long time, but we have several enhancements underway to vastly improve this which will be in future releases soon. At the moment however, a bug prevents Enstaller from downloading eggs from the Cheese Shop for install, and access to it with Enstaller is limited to browsing only. If you'd like to browse the Cheese Shop, enter "http://python.org/pypi/" (the final '/' is required) in the "find_links" field under Preferences. * IPython may have problems when starting for the first time if a previous version of IPython was run on the system. If you see "WARNING: could not import user config", either follow the directions that follow the warning, or delete ipy_user_conf.py from the IPython directory. * Some users report that older matplotlibrc files are not compatible with the version of matplotlib installed with this release. Please refer to the matplotlib mailing list <http://sourceforge.net/mail/?group_id=80706> for further help. We are grateful to everyone who has helped test this release. If you'd like to contribute suggestions or report a bug, you can do so at https://svn.enthought.com/enthought. -- Rick Ratzel - Enthought, Inc. 515 Congress Avenue, Suite 2100 - Austin, Texas 78701 512-536-1057 x229 - Fax: 512-536-1059 http://www.enthought.com

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pyreport
by Gael Varoquaux Aug. 3, 2006

Aug. 3, 2006

The list gave me such positive feedback about the script for literate programming in python that I have decided to make something more usable out of it. I have worked a bit more on the code and in theory it does things a bit more "the right way". If you want to use it (and probably bug report) all the info is on http://gael-varoquaux.info/computers/pyreport/ , with a few examples a use cases. Gaël

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hough transform
by Alex Liberzon Aug. 3, 2006

Aug. 3, 2006

http://www.amk.ca/files/unmaintained/hough.py Runs perferctly on my Enthought distro 1.0 (Scipy 0.5.0, Numpy 0.9.9, Win XP SP2) HIH, Alex

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New ISP
by Jeff Strunk Aug. 3, 2006

Aug. 3, 2006

Good Morning, I am pleased to announce that Enthought is now using a new ISP. We have a 10 megabit internet connection from our in building provider now. That is 6.6 times faster than our old T1. Downloads of Enthon and Scipy should be much faster now. If you find that you are connecting at slow speeds, it may be that your ISP's DNS cache has not recognized our DNS changes yet. Most should have changed within 20 minutes of the switchover. Some ISPs may take a day, and very few will take a few weeks. Thanks, Jeff Strunk IT Administrator Enthought, Inc.

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Re: [SciPy-user] segfault in scipy.optimize.leastsq
by basvandijk＠home.nl Aug. 3, 2006

Aug. 3, 2006

---- Jelle Feringa / EZCT Architecture & Design Research <jelle.feringa(a)ezct.net> schrijft: > So the odds are fair your running into the SSE issue... I think so. It would be a good idea to put the minimal system requirements on the scipy download page. Is there any chance of using scipy on a Pentium II? Bas.

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Re: [SciPy-user] segfault in scipy.optimize.leastsq
by basvandijk＠home.nl Aug. 3, 2006

Aug. 3, 2006

Jelle Feringa / EZCT Architecture & Design Research wrote: > Any chance you have an older AMD processor perhaps not supporting SSE(3?)? I have a Pentium 2 450Mhz CPU ---- Nils Wagner <nwagner(a)iam.uni-stuttgart.de> schrijft: > In case of a segfault I suggest to use gdb to track down the problem. I don't know for sure if I get segmentation error. It can also be something else.

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