Binary installation of bob packages and their dependencies with conda

[Amir Mohammadi]

Hi everyone,

Recently we have been working on porting our packages to conda.
You can learn more about them here:
https://github.com/idiap/bob/wiki/Installation-with-conda-%5BExperimental%5D

Advantages of using conda

• conda is available for 32bit and 64bit of Linux, MacOSX, and Windows. This means all binary deployments are done using conda.
• conda offers many packages by itself such as gcc or opencv. This means that you do need to install any dependency before installing conda.
• conda has some sophisticated environment management mechanisms which takes care of a lot of issues that are known to virtual environments.
• sudo or administrative permissions are not required for using conda.

Best regards,
Amir

[André Anjos]

Thank you for this amazing work. I'm sure it is going to be very useful. Best, Andre

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Dr. André Anjos
Idiap Research Institute
Centre du Parc - rue Marconi 19
CH-1920 Martigny, Suisse
Phone: +41 27 721 7763
Fax: +41 27 721 7712
http://andreanjos.org

[Amir Mohammadi]

Hi everyone,

We just added support for Python 3.5 in our conda builds.
https://github.com/idiap/bob/wiki/Binary-Installation

Till now, we have built packages for Python 2.7 and 3.5 on Linux 64-bit.
Please give them a try and let us know if you find some difficulties.

Thanks,
Amir

[Amir Mohammadi]

Hi everyone,

I am working to port our conda packages over to conda-forge.
But for now, they might conflict with each other, so make sure you
only have one of the bobpkgs or conda-forge channels in your ~/.condarc file.
To be precise, your ~/.condarc file should like this:

channels:
  - bobpkgs
  - defaults

I have also updated the binary installation instructions:
https://github.com/idiap/bob/wiki/Binary-Installation

Best regards,
Amir