def run():
data_storage.create_database()
files = glob.glob(cfg.datasetRoot + '/*.png')
for img in files:
image = io.imread(img)
d, f, c = training.training_an_image(image)
sn = get_name(img)
print(len(files))
print(img)
print(sn)
print(c)
s = io.plugin_order()
print(s)
data_storage.create_group(sn)
def test_plugin_order(self):
p = io.plugin_order()
assert 'imread' in p
assert 'test' in p['imread']
def test_plugin_order():
p = io.plugin_order()
assert 'imread' in p
assert 'test' in p['imread']
import os
import skimage as si
import skimage.io as sio
import numpy as np
from numpy.testing import *
from numpy.testing.decorators import skipif
from tempfile import NamedTemporaryFile
try:
import skimage.io._plugins.tifffile_plugin as tf
_plugins = sio.plugin_order()
TF_available = True
sio.use_plugin('tifffile')
except ImportError:
TF_available = False
def teardown():
sio.reset_plugins()
@skipif(not TF_available)
def test_imread_uint16():
expected = np.load(os.path.join(si.data_dir, 'chessboard_GRAY_U8.npy'))
img = sio.imread(os.path.join(si.data_dir, 'chessboard_GRAY_U16.tif'))
assert img.dtype == np.uint16
assert_array_almost_equal(img, expected)
@skipif(not TF_available)
def test_plugin_order(self):
p = io.plugin_order()
assert "imread" in p
assert "test" in p["imread"]