oesteban

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

oesteban

# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright 2023 Oscar Esteban <[email protected]>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0

oesteban

oesteban

#!/usr/bin/env python3

import sys
import fontforge

def main(file):
  for font in fontforge.fontsInFile(file):
    f = fontforge.open(u'%s(%s)' % (file, font))
    f.generate('%s.ttf' % font)

oesteban

Raspberry Pi, Static HTTPS site with Docker and Nginx

This tutorial is dated Oct 2021, if it's much further on than that this information might be out of date.

This is a guide on setting up a static HTTPS website on your raspberry pi using docker and nginx. The aim is to have this running on the raspberry pi and to be able to access it from a host computer on the same local network. You should already be able to ssh into your pi from your host computer and have raspberry pi OS set up.

Find your raspberry pi

oesteban

from pathlib import Path
from nipype.pipeline import engine as pe
from nibabies.workflows.anatomical.registration import init_coregistration_wf
from nibabies.workflows.anatomical.brain_extraction import init_infant_brain_extraction_wf
from nibabies.workflows.anatomical.outputs import init_coreg_report_wf

wf = pe.Workflow(name="nibabies_anat")

be = init_infant_brain_extraction_wf(omp_nthreads=8, age_months=2)
be.inputs.inputnode.in_t2w = "/Users/oesteban/tmp/nibabies-coregistration/data/sub-MOD1319/anat/sub-MOD1319_run-14_T2w.nii.gz"

oesteban

import os
import nibabel as nb
import numpy as np

from nipype.interfaces.base import isdefined
from nipype.interfaces import fsl, ants, afni
import nipype.pipeline.engine as pe

from niworkflows.interfaces.registration import (
    EstimateReferenceImage,

oesteban

<?xml version="1.0" encoding="utf-8"?>
<style xmlns="http://purl.org/net/xbiblio/csl" class="in-text" version="1.0" demote-non-dropping-particle="sort-only" default-locale="en-GB">
  <info>
    <title>Nature (brief style)</title>
    <id>http://www.zotero.org/styles/nature</id>
    <link href="http://www.zotero.org/styles/nature" rel="self"/>
    <link href="http://www.nature.com/nature/authors/gta/index.html#a5.4" rel="documentation"/>
    <link href="http://www.nature.com/srep/publish/guidelines#references" rel="documentation"/>
    <author>
      <name>Oscar Esteban</name>

oesteban

"""Conforming input data."""
from pathlib import Path
from tempfile import mkdtemp
import numpy as np
import nibabel as nb
from scipy.ndimage import map_coordinates


def conform_data(in_file, out_file=None, out_size=(256, 256, 256), out_zooms=(1.0, 1.0, 1.0), order=3):
    """Conform the input dataset to the canonical orientation."""

oesteban

Fieldmaps table

This is the table