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RE: [mget-help] MGET installation question


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  • From: Jason Roberts <>
  • To: Luis Figueiredo <>
  • Cc: "" <>
  • Subject: RE: [mget-help] MGET installation question
  • Date: Mon, 7 Mar 2022 14:07:33 +0000
  • Accept-language: en-US
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Hello Luis,

MGET will run fine on a 64-bit computer with 32-bit Python 2.7 installed.
(There is no problem running a 32-bit Python on a 64-bit computer.)
Unfortunately, we have not had a chance to port MGET to Python 3.x yet. Doing
so requires a nontrivial amount of time, and funding to cover the effort. We
recently had an offer of assistance with this, which we may be able to take
advantage of later this year, once some ongoing projects are completed. But
until then, it is 32-bit Python 2.7 only.

The core of the CC algorithm in MGET is implemented in C as a Python
extension module, with its main dependency being the numpy ABI. If you have
some skill building Python extension modules and with numpy's ABI you could
probably build it yourself for 64-bit Python 3.x without too much trouble.
However, if you are a Python user with no experience with C or building
Python extension modules then I do not recommend attempting this. In any
case, MGET is free and open source software and we are happy to share the
code.

Best regards,

Jason

-----Original Message-----
From:
<> On Behalf Of Luis Figueiredo
Sent: Monday, March 7, 2022 8:20 AM
To:
Subject: [mget-help] MGET installation question

Hello,

My name is Luís Figueiredo and I want to apply the Cayula-Cornillon Algorithm
Single Image Edge Detector (CCA-SIED) that is available as an R code in the
Marine Geospatial Ecology Tools (MGET).
But apparently you can only install it by having a 32 bit computer and using
python 2.x versions. I would like to know if there is any way to use this
algorithm available in MGET, having a 64 bit computer and using python 3.x?

Thank you for your time

Kind regards

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