Hio-Been

import numpy as np
from time import *
from matplotlib import pyplot as plt
from PIL import ImageGrab
"""
from ImageGrab import grab
from matplotlib import animation
import cv2
from cv2 import cv
"""

Hio-Been

#! -*- coding:utf-8 -*-
import sys; reload(sys); sys.setdefaultencoding('utf-8')
import cv2; import numpy as np; from cv2 import cv;
from time import time
import matplotlib.pyplot as plt
try: from psychopy.core import quit;
except: pass

""" [1] 데이터 플랏 윈도우 세팅 """
fig = plt.figure();     # 그래프를 그리기 위한 변수 정의

Hio-Been

#! -*-coding: utf-8 -*-

__author__ = 'Hio-been'

import pandas.io.data as web
from datetime import datetime
import matplotlib.pyplot as plt
import os, sys; reload(sys); sys.setdefaultencoding('utf-8')
import numpy as np
#https://gist.github.com/Han-Hiobeen/faba03d188452981c1ed

Hio-Been

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

"""
 Vibrotactile Experiment (Version: 2015-04-28)
 Made by Hio-been Han & Dongmyeong Lee @KIST.jeelab
 Written in python2.7 with PsychoPy2 (www.psychopy.org by J. Pierce)
 Revision/Error report -> hiobeen@yonsei.ac.kr
"""

Hio-Been

import leap_image, sys, Leap, time, numpy as np
from matplotlib import pyplot as plt
import cv2
import cv2.cv as cv

colormap = 'gist_gray' 

fig = plt.figure()
my_figure = plt.imshow(np.ones([420,420]),vmin=0,vmax=235,cmap=colormap)
fig.show(); plt.ion()

Hio-Been

function [pval, ci, stats] = hb_anovaContrast(dataset, cont_coeffs, alpha)
%% INPUT data type
% 
% dataset <- cell([ 1, nCondition ]); % each cell contains column vector
% cont_coeffs <- [ 1, -1, 0, 0 ...]; % should be length at nCondition
% 
% written by Hio-Been Han, for GOSHIMTONG 2016-1, YONSEI PSYCHOLOGY
% hiobeen@yonsei.ac.kr, 20160420
% 
if nargin < 3

Hio-Been

__author__ = 'Hiobeen_MBPR'

#!/usr/bin/python2
""" (0) Import modules """
import facemorpher, os

# Get a list of image paths in a folder
""" (1) Path & Variable setting """
fd = '/Users/Hiobeen_MBPR/PycharmProjects/python_sketchpad/pics/'
filelist_temp = os.listdir(fd)

Hio-Been

% ---- script structure ----
% %% (0) Set dataset directory and subject list
%
% % 0-1 : Set subject list
% % 0-2 : Set directory 
% % 0-3 : Set anatomy & functional image to handle easily
%         % 0-3-1 : ANATOMY unzip & reorient
%         % 0-3-2 : FUNCTIONAL de-compress (batch TRs into single TR)
% 
% %% (1) Start preprocessing batch loop

Hio-Been

function success = hb_mat2ARFF(v,arff_filename, relationtxt , titletxt)
%success = hb_mat2ARFF(v,arff_filename, relationtxt , titletxt)
% *.mat binary to WEKA ARFF
% hiobeen@yonsei.ac.kr

if nargin < 4
    titletxt = 'temp.arff';
end ; if nargin < 3
    relationtxt ='hb_variable';
end ; if nargin < 2

Hio-Been

function [v,nBad,badIdx] = hb_3Dto1D(mat)
% Convert fMRI data of 4D (X,Y,Z+time) into 2D (space,time)

sizes = size(mat);
v = nan([sizes(1)*sizes(2)*sizes(3),sizes(4)]);

% 3D to 1D
for idx = 1:size(mat, 4)
    temp = mat(:,:,:,idx);
    v(:,idx) = temp(:);