Python divide_datasets 예제들

예제 #1

__author__ = 'panos'
from ini import *
import os
import analysis, plotting
import datasetDivision as dsDv

imageNames = os.listdir(IMAGE_FOLDER)
print imageNames
datasets = []
paintingsDsDict = dsDv.divide_datasets()
imageNamesDict = dict([(imageNames[4], paintingsDsDict.get(1)),
                       (imageNames[5], paintingsDsDict.get(2)),
                       (imageNames[10], paintingsDsDict.get(3)),
                       (imageNames[7], paintingsDsDict.get(4)),
                       (imageNames[6], paintingsDsDict.get(5)),
                       (imageNames[8], paintingsDsDict.get(6)),
                       (imageNames[1], paintingsDsDict.get(7)),
                       (imageNames[11], paintingsDsDict.get(8)),
                       (imageNames[2], paintingsDsDict.get(9)),
                       (imageNames[3], paintingsDsDict.get(10)),
                       (imageNames[0], paintingsDsDict.get(11)),
                       (imageNames[9], paintingsDsDict.get(12))])

parameters = {
    'gridWidth': 21,  # the grid size: set to None for dynamic calcluation
    'gridHeight': None,  # the grid size: set to None for square shaped boxes
    'errorRadius': 5,  # error smoothing sigma (pixels)
    'groupingRadius': 50,  # filtering radius (pixels)
    'fixationLengthFilter': 100  # minimum fixation length
}

예제 #2

파일: viewerDataPlots.py 프로젝트: panosGel/EyeTracking

__author__ = 'panos'
import numpy as np
import matplotlib.pyplot as plt
import datasetDivision as div
from ini import *


paintingsDictionary = div.divide_datasets()

def gender_plot():

    N = 2
    menNum = (len(MALE_PARTICIPANTS))
    womenNum = (len(FEMALE_PARTICIPANTS))
    index=np.arange(N)

    width = 0.35

    fig,ax = plt.subplots()

    men_rectangle = ax.bar(0, menNum, width, color='r',align='center')
    women_rectangle = ax.bar(width,womenNum,width,color='y',align='center')


    ax.set_ylabel('Viewers')
    ax.set_title('Viewers by gender')
    plt.xticks(index+0.5, ('Male','Female'))
    plt.show()

def agegroups_plot():
    print "age groups"

예제 #3

파일: paintingFamiliarityAnalysis.py 프로젝트: panosGel/EyeTracking

__author__ = 'panos'
from ini import *
import os
import analysis, plotting
import datasetDivision as dsDv

imageNames = os.listdir(IMAGE_FOLDER)
print imageNames
datasets=[]
paintingsDsDict = dsDv.divide_datasets()
imageNamesDict = dict([(imageNames[4],paintingsDsDict.get(1)),(imageNames[5],paintingsDsDict.get(2)),
                        (imageNames[10],paintingsDsDict.get(3)),(imageNames[7],paintingsDsDict.get(4)),
                        (imageNames[6],paintingsDsDict.get(5)),(imageNames[8],paintingsDsDict.get(6)),
                        (imageNames[1],paintingsDsDict.get(7)),(imageNames[11],paintingsDsDict.get(8)),
                        (imageNames[2],paintingsDsDict.get(9)),(imageNames[3],paintingsDsDict.get(10)),
                        (imageNames[0],paintingsDsDict.get(11)),(imageNames[9],paintingsDsDict.get(12))])

parameters = {
        'gridWidth': 21,                  # the grid size: set to None for dynamic calcluation
        'gridHeight': None,                # the grid size: set to None for square shaped boxes
        'errorRadius': 5,                 # error smoothing sigma (pixels)
        'groupingRadius': 50,              # filtering radius (pixels)
        'fixationLengthFilter': 100        # minimum fixation length
        }

def visualizeFamiliarityResults(imageName,parameters):
    analysisOb = analysis.Analysis(parameters)
    analysisOb.outputPath= DATASET_FOLDER
    #add datasets to array for later comparison
    datasets=[]
    for i in range(0,3):

예제 #4

파일: interestInArtAnalysis.py 프로젝트: panosGel/EyeTracking

__author__ = 'panos'
import os
import analysis, plotting
from ini import *
import datasetDivision



recordings = os.listdir(GAZE_DATA)

imageNames = os.listdir(IMAGE_FOLDER)
gridsize=0
paintingsDict = datasetDivision.divide_datasets()

parameters = {
        'gridWidth': 21,                  # the grid size: set to None for dynamic calcluation
        'gridHeight': None,                # the grid size: set to None for square shaped boxes
        'errorRadius': 5,                 # error smoothing sigma (pixels)
        'groupingRadius': 50,              # filtering radius (pixels)
        'fixationLengthFilter': 100        # minimum fixation length
        }

def createImageDataset(imageName,eyeTrackingRecordings,datasetLabel):

    analysisObject = analysis.Analysis(parameters)
    analysisObject.outputPath = DATASET_FOLDER
    imageDataset = analysisObject.buildDataSetForStimulus(datasetLabel,eyeTrackingRecordings,imageName,GAZE_DATA)

    newParameters = {
        'gridWidth': 21,                  # the grid size: set to None for dynamic calcluation
        'gridHeight': None,                # the grid size: set to None for square shaped boxes

예제 #5

__author__ = 'panos'
import numpy as np
import matplotlib.pyplot as plt
import datasetDivision as div
from ini import *

paintingsDictionary = div.divide_datasets()


def gender_plot():

    N = 2
    menNum = (len(MALE_PARTICIPANTS))
    womenNum = (len(FEMALE_PARTICIPANTS))
    index = np.arange(N)

    width = 0.35

    fig, ax = plt.subplots()

    men_rectangle = ax.bar(0, menNum, width, color='r', align='center')
    women_rectangle = ax.bar(width, womenNum, width, color='y', align='center')

    ax.set_ylabel('Viewers')
    ax.set_title('Viewers by gender')
    plt.xticks(index + 0.5, ('Male', 'Female'))
    plt.show()


def agegroups_plot():
    print "age groups"