sylvchev

// Simple benchmarking FFT with Cuda, building on https://github.com/drufat/cuda-examples
// compiles with nvcc -DSIGNAL_SIZE=2048 -m64 -gencode arch=compute_30,code=sm_30 -O2 -use_fast_math -I commoninclude -l cufft cudafft.cu -o cudaff
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <sys/time.h>

#include <cuda_runtime.h>
#include "helper_functions.h"

sylvchev

from __future__ import print_function
from scipy.io import loadmat
from os import listdir
from numpy import nan_to_num
import pickle
import gzip
import sys
import mne

def convert_to_pz(fname):

sylvchev

(custom-set-variables
 ;; custom-set-variables was added by Custom.
 ;; If you edit it by hand, you could mess it up, so be careful.
 ;; Your init file should contain only one such instance.
 ;; If there is more than one, they won't work right.
 '(TeX-command-list
	(quote
	 (("TeX" "%(PDF)%(tex) %S%(PDFout) \"\\input %t\"" TeX-run-TeX nil
		(plain-tex-mode texinfo-mode ams-tex-mode)
		:help "Run plain TeX")

sylvchev

[user]
	name = Sylvain Chevallier
	email = [email protected]
[credential]
	helper = cache --timeout=10000000
[github]
	user = sylvchev
[push]
	default = matching
[core]

sylvchev

sudo su -
mkdir /mnt/gentoo && mount /dev/sda3 /mnt/gentoo/ && mount /dev/sda2 /mnt/gentoo/boot/ && mount /dev/sda1 /mnt/gentoo/mnt/efi && cp -L /etc/resolv.conf /mnt/gentoo/etc/ && mount -t proc proc /mnt/gentoo/proc && mount --rbind /sys /mnt/gentoo/sys && mount --make-rslave /mnt/gentoo/sys && rm /dev/shm && mkdir /dev/shm && mount -t tmpfs -o nosuid,nodev,noexec shm /dev/shm && chmod 1777 /dev/shm && mount --rbind /dev /mnt/gentoo/dev && mount --make-rslave /mnt/gentoo/dev && chroot /mnt/gentoo /bin/bash
. /etc/profile

exit
cd
umount -l /mnt/gentoo/dev{/shm,/pts,}
umount -R /mnt/gentoo
reboot

sylvchev

cmake_minimum_required(VERSION 2.8)
project( detection_pose_estimation_surf )
find_package( OpenCV REQUIRED )
add_executable( detection_pose_estimation_surf detection_pose_estimation_surf.cpp )
target_link_libraries( detection_pose_estimation_surf ${OpenCV_LIBS} )

sylvchev

sylvchev

import pyriemann
import numpy as np
from pyriemann.utils.mean import mean_riemann

def generate_cov(Nt, Ne):
    """Generate a set of cavariances matrices for test purpose"""
    rs = np.random.RandomState(1234)
    diags = 2.0 + 0.1 * rs.randn(Nt, Ne)
    A = 2*rs.rand(Ne, Ne) - 1
    A /= np.atleast_2d(np.sqrt(np.sum(A**2, 1))).T

sylvchev

clear all
datadir='/path/to/data/ssvep-esta/';
for i = 2:2
    subjdir = strcat(datadir, sprintf('subject%2.2d/', i));
    files = dir(strcat(subjdir, '*.gdf'));
    for f=1:length(files)
        [s,h] = sload(strcat(subjdir, files(f).name));
        EVENTTYP = h.EVENT.TYP;
        EVENTPOS = h.EVENT.POS;
        SampleRate = h.SampleRate;

sylvchev

#!/usr/bin/env python

import sys
import re
import difflib as dl

if __name__ == '__main__':
    if len(sys.argv) < 3 or len(sys.argv) > 5:
        print ("usage: %s file1 file2 [output.html]" % sys.argv[0])
        sys.exit(0)