def test_full_pipeline(self):
''' Smoke test of entire pipeline, from stimulus loading to
event file export. '''
stim = VideoStim(join(_get_test_data_path(), 'video', 'small.mp4'))
extractors = [VibranceExtractor()]
timeline = stim.extract(extractors, show=False)
exp = FSLExporter()
tmpdir = tempfile.mkdtemp()
exp.export(timeline, tmpdir)
from glob import glob
files = glob(join(tmpdir, '*.txt'))
self.assertEquals(len(files), 1)
shutil.rmtree(tmpdir)
def test_full_pipeline():
''' Smoke test of entire pipeline, from stimulus loading to
event file export. '''
stim = ImageStim(join(get_test_data_path(), 'image', 'obama.jpg'))
timeline = VibranceExtractor().extract(stim).to_df(stim_name=True)
exp = FSLExporter()
tmpdir = tempfile.mkdtemp()
exp.export(timeline, tmpdir)
from glob import glob
files = glob(join(tmpdir, '*.txt'))
assert len(files) == 1
shutil.rmtree(tmpdir)
def test_full_pipeline(self):
''' Smoke test of entire pipeline, from stimulus loading to
event file export. '''
stim = VideoStim(join(_get_test_data_path(), 'video', 'small.mp4'))
extractors = [FaceDetectionExtractor()]
timeline = stim.extract(extractors, show=False)
exp = FSLExporter()
tmpdir = tempfile.mkdtemp()
exp.export(timeline, tmpdir)
from glob import glob
files = glob(join(tmpdir, '*.txt'))
self.assertEquals(len(files), 1)
shutil.rmtree(tmpdir)
