本文整理匯總了Python中pyhrf.FmriData.from_vol_ui方法的典型用法代碼示例。如果您正苦於以下問題：Python FmriData.from_vol_ui方法的具體用法？Python FmriData.from_vol_ui怎麽用？Python FmriData.from_vol_ui使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pyhrf.FmriData的用法示例。
在下文中一共展示了FmriData.from_vol_ui方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_glm_default_real_data
# 需要導入模塊: from pyhrf import FmriData [as 別名]
# 或者: from pyhrf.FmriData import from_vol_ui [as 別名]
def test_glm_default_real_data(self):
from pyhrf import FmriData
from pyhrf.glm import glm_nipy
fdata = FmriData.from_vol_ui()
glm_nipy(fdata)示例2: setDummyInputData
# 需要導入模塊: from pyhrf import FmriData [as 別名]
# 或者: from pyhrf.FmriData import from_vol_ui [as 別名]
def setDummyInputData(self, xmlFile):
f = open(xmlFile, 'r')
xml = f.read()
t = xmlio.from_xml(xml)
if t.data.data_type == 'volume':
dataFn = pyhrf.get_data_file_name('dummySmallBOLD.nii.gz')
maskFn = pyhrf.get_data_file_name('dummySmallMask.nii.gz')
sd = FMRISessionVolumicData(bold_file=dataFn)
t.set_init_param('fmri_data',
FmriData.from_vol_ui(mask_file=maskFn,
sessions_data=[sd]))
elif t.data.data_type == 'surface':
fn = 'real_data_surf_tiny_bold.gii'
dataFn = pyhrf.get_data_file_name(fn)
fn = 'real_data_surf_tiny_parcellation.gii'
maskFn = pyhrf.get_data_file_name(fn)
fn = 'real_data_surf_tiny_mesh.gii'
meshFn = pyhrf.get_data_file_name(fn)
sd = FMRISessionSurfacicData(bold_file=dataFn)
t.set_init_param('fmri_data',
FmriData.from_surf_ui(mask_file=maskFn,
mesh_file=meshFn,
sessions_data=[sd]))
else:
raise Exception('Unsupported class ... todo')
f = open(xmlFile, 'w')
f.write(xmlio.to_xml(t))
f.close()示例3: test_fir_glm
# 需要導入模塊: from pyhrf import FmriData [as 別名]
# 或者: from pyhrf.FmriData import from_vol_ui [as 別名]
def test_fir_glm(self):
from pyhrf import FmriData
from pyhrf.glm import glm_nipy
fdata = FmriData.from_vol_ui()
glm_nipy(fdata, hrf_model='FIR', fir_delays=range(10))示例4: setDummyInputData
# 需要導入模塊: from pyhrf import FmriData [as 別名]
# 或者: from pyhrf.FmriData import from_vol_ui [as 別名]
def setDummyInputData(self, xmlFile):
f = open(xmlFile, "r")
xml = f.read()
t = xmlio.fromXML(xml)
if t.data.data_type == "volume":
dataFn = pyhrf.get_data_file_name("dummySmallBOLD.nii.gz")
maskFn = pyhrf.get_data_file_name("dummySmallMask.nii.gz")
sd = FMRISessionVolumicData(bold_file=dataFn)
t.set_init_param("fmri_data", FmriData.from_vol_ui(mask_file=maskFn, sessions_data=[sd]))
elif t.data.data_type == "surface":
fn = "real_data_surf_tiny_bold.gii"
dataFn = pyhrf.get_data_file_name(fn)
fn = "real_data_surf_tiny_parcellation.gii"
maskFn = pyhrf.get_data_file_name(fn)
fn = "real_data_surf_tiny_mesh.gii"
meshFn = pyhrf.get_data_file_name(fn)
sd = FMRISessionSurfacicData(bold_file=dataFn)
t.set_init_param("fmri_data", FmriData.from_surf_ui(mask_file=maskFn, mesh_file=meshFn, sessions_data=[sd]))
else:
raise Exception("Unsupported class ... todo")
f = open(xmlFile, "w")
f.write(xmlio.toXML(t, handler=NumpyXMLHandler()))
f.close()示例5: test_glm_contrasts
# 需要導入模塊: from pyhrf import FmriData [as 別名]
# 或者: from pyhrf.FmriData import from_vol_ui [as 別名]
def test_glm_contrasts(self):
from pyhrf import FmriData
from pyhrf.glm import glm_nipy
cons = {'audio-video': 'audio - video',
'video-audio': 'video - audio',
}
fdata = FmriData.from_vol_ui()
g, dm, cons = glm_nipy(fdata, contrasts=cons)示例6: test_parcellation
# 需要導入模塊: from pyhrf import FmriData [as 別名]
# 或者: from pyhrf.FmriData import from_vol_ui [as 別名]
def test_parcellation(self):
p_size = 300
np.random.seed(125437)
parcellation, _ = parcellation_for_jde(FmriData.from_vol_ui(), p_size,
output_dir=self.tmp_dir)
ms = np.mean([(parcellation == i).sum()
for i in np.unique(parcellation) if i != 0])
size_tol = 50
if np.abs(ms - p_size) > size_tol:
raise Exception('Mean size of parcellation seems too '
'large: %1.2f >%d+-%d ' % (ms, p_size, size_tol))
if 0:
print parcellation_report(parcellation)