As much as I know, the python's community is bound to the BSD style licence. I was hoping that the code would be included in scipy, after I would attach the required declaration (I do not know which), and maybe with some adjustment to the coding style.
In short, for the next few days I am waiting for comments and responses that would enable me to donate the code to an existing project (scipy? pyvision?). Meanwhile I'll improve the co a bit. If you can't wait, and not willing to use the code without a licence statement, I'll repost the code with the scipy's licence declaration. Nadav. -----הודעה מקורית----- מאת: [EMAIL PROTECTED] בשם Zachary Pincus נשלח: ג 05-אוגוסט-08 19:29 אל: Discussion of Numerical Python נושא: Re: [Numpy-discussion] Bilateral filter > Attached here my cython implementation of the bilateral filter, > which is my first cython program. I would ask for the following: Thanks for the code! I know it will be of use to me. (Do you place any particular license on it?) Zach On Aug 5, 2008, at 9:38 AM, Nadav Horesh wrote: > Attached here my cython implementation of the bilateral filter, > which is my first cython program. I would ask for the following: > > • Is there any way to speed up the code just by "cosmetic" > modifications? > • In particular I use the unportable gcc function __builtin_abs: Is > there any way to access this in a portable way? > • I would like to donate this code to scipy or any other suitable > project. What can/should I do to realise it? > > Remarks: > > The code contains 3 end-user routines: > • A pure python implementation: Easy to read and modify --- it can > be cut out into a python source code. > • A straight forward cython implementation: About 4 times as fast > as the python implementation. > • An optimised cython implementation earning another factor of 2 in > speed (depends on the parameters used). > I see this code as a "research grade" that would evolve in the near > future, as I am working on a related project, and hopefully > following your comments. > > Nadav > <bilateral.pyx>_______________________________________________ > Numpy-discussion mailing list > [email protected] > http://projects.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
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