Lane Brooks wrote:
I am using the numpy CAPI to write an extension module that returns a
numpy Array from an imaging data source. I collect the image into a
buffer that I allocate. I then create numpy Array using the
PyArray_New(..) function and pass it the buffer. I then set the
Travis E. Oliphant wrote:
Lane Brooks wrote:
I am using the numpy CAPI to write an extension module that returns a
numpy Array from an imaging data source. I collect the image into a
buffer that I allocate. I then create numpy Array using the
PyArray_New(..) function and pass it the
On Mon, Oct 20, 2008 at 16:13, Lane Brooks [EMAIL PROTECTED] wrote:
Thanks for all this valuable feedback. I read your blog post and like the
idea but not the overhead. I guess my initial approach of doing a memory
handoff to the numpy Array was a bit naive. It seems to be working, but I
I am using the numpy CAPI to write an extension module that returns a
numpy Array from an imaging data source. I collect the image into a
buffer that I allocate. I then create numpy Array using the
PyArray_New(..) function and pass it the buffer. I then set the
NPY_OWNDATA flag on the Array
On Sun, Oct 19, 2008 at 14:28, Lane Brooks [EMAIL PROTECTED] wrote:
I am using the numpy CAPI to write an extension module that returns a
numpy Array from an imaging data source. I collect the image into a
buffer that I allocate. I then create numpy Array using the
PyArray_New(..) function
