def test_available(self):
assert 'qt' in io.plugins()
assert 'test' in io.plugins(loaded=True)
def test_available(self):
assert 'qt' in io.plugins()
assert 'test' in io.plugins(loaded=True)
def test_available(self):
assert "qt" in io.plugins()
assert "test" in io.plugins(loaded=True)
def __call__(self, f):
if self.mode != "I;16":
return im_io.imread(f).astype(np.int16)
else:
im = Image.open(f)
imageList = list(im.getdata())
sizeX, sizeY = im.size
return np.asanyarray(imageList).reshape(sizeY, sizeX)
isScikits = True
except:
isScikits = False
if isScikits:
plugins = im_io.plugins()
keys = plugins.keys()
#mySeq = ['test','pil', 'matplotlib', 'qt']
#mySeq = [pl for pl in plugins.keys() if pl in mySeq]
try:
im_io.use_plugin('pil', 'imread')
except:
print("No plugin available between %s" % str(mySeq))
else:
print "Scikits.image not available"
filters = {'gauss': nd.gaussian_filter, 'fouriergauss': nd.fourier_gaussian, \
'median': nd.median_filter, 'wiener': signal.wiener}
if isTv_denoise:
from skimage import io
#from skimage import data_dir
#import numpy as np
im1 = io.imread('/home/octavian/github/lojux/imgs-input/p-j.jpg')
print 'im1: ', im1
print io.plugins()
#ic = io.ImageCollection('/home/octavian/github/lojux/imgs-input/*')
#print 'ic: ', ic
#print('length: ', len(ic))
#print('ic[0]: ', ic[0])
#print('shape: ', ic[0].shape)