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flake8-compliant formatting

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This commit is contained in:
Matthew Trentacoste
2013-10-23 00:07:00 -07:00
parent 9d9d16d2a4
commit df6a112bc5
1 changed files with 23 additions and 22 deletions
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skimage/color/colorconv.py
+23 -22
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@@ -893,7 +893,7 @@ def xyz2luv(xyz):
>>> lena_xyz = rgb2xyz(lena)
>>> lena_luv = xyz2luv(lena_xyz)
"""
arr = _prepare_colorarray(xyz)
arr = _prepare_colorarray(xyz)
# extract channels
x, y, z = arr[..., 0], arr[..., 1], arr[..., 2]
@@ -901,25 +901,26 @@ def xyz2luv(xyz):
eps = np.finfo(np.float).eps
# compute y_r and L
L = y / lab_ref_white[1]
mask = L > 0.008856
L[mask] = 116. * np.power( L[mask], 1. / 3. ) - 16.
L[~mask] = 903.3 * L[~mask]
L = y / lab_ref_white[1]
mask = L > 0.008856
L[mask] = 116. * np.power(L[mask], 1. / 3.) - 16.
L[~mask] = 903.3 * L[~mask]
u0 = 4*lab_ref_white[0] / np.dot( [1, 15, 3], lab_ref_white )
v0 = 9*lab_ref_white[1] / np.dot( [1, 15, 3], lab_ref_white )
u0 = 4*lab_ref_white[0] / np.dot([1, 15, 3], lab_ref_white)
v0 = 9*lab_ref_white[1] / np.dot([1, 15, 3], lab_ref_white)
# u' and v' helper functions
def fu( X, Y, Z ):
return ( 4.*X ) / ( X + 15.*Y + 3.*Z + eps )
def fv( X, Y, Z ):
return ( 9.*Y ) / ( X + 15.*Y + 3.*Z + eps )
def fu(X, Y, Z):
return (4.*X) / (X + 15.*Y + 3.*Z + eps)
def fv(X, Y, Z):
return (9.*Y) / (X + 15.*Y + 3.*Z + eps)
# compute u and v using helper functions
u = 13.*L * ( fu(x,y,z) - u0 )
v = 13.*L * ( fv(x,y,z) - v0 )
u = 13.*L * (fu(x, y, z) - u0)
v = 13.*L * (fv(x, y, z) - v0)
return np.concatenate([x[..., np.newaxis] for x in [L, u, v]], axis=-1)
return np.concatenate([q[..., np.newaxis] for q in [L, u, v]], axis=-1)
def luv2xyz(luv):
@@ -961,25 +962,25 @@ def luv2xyz(luv):
# compute y
y = L.copy()
mask = y > 7.999625
y[mask] = np.power( (y[mask]+16.) / 116., 3.)
y[mask] = np.power((y[mask]+16.) / 116., 3.)
y[~mask] = y[~mask] / 903.3
y *= lab_ref_white[1]
# reference white x,z
uv_weights = [1, 15, 3]
u0 = 4*lab_ref_white[0] / np.dot( uv_weights, lab_ref_white )
v0 = 9*lab_ref_white[1] / np.dot( uv_weights, lab_ref_white )
u0 = 4*lab_ref_white[0] / np.dot(uv_weights, lab_ref_white)
v0 = 9*lab_ref_white[1] / np.dot(uv_weights, lab_ref_white)
# compute intermediate values
a = u0 + u / ( 13.*L + eps )
b = v0 + v / ( 13.*L + eps )
a = u0 + u / (13.*L + eps)
b = v0 + v / (13.*L + eps)
c = 3*y * (5*b-3)
# compute x and z
z = ( (a-4)*c - 15*a*b*y ) / ( 12*b )
x = -( c/b + 3.*z )
z = ((a-4)*c - 15*a*b*y) / (12*b)
x = -(c/b + 3.*z)
return np.concatenate([x[..., np.newaxis] for x in [x, y, z]], axis=-1)
return np.concatenate([q[..., np.newaxis] for q in [x, y, z]], axis=-1)
def rgb2luv(rgb):