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https://github.com/wassname/scikit-image.git
synced 2026-08-08 11:26:12 +08:00
renaming machineEps to eps to match convention
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@@ -898,7 +898,7 @@ def xyz2luv(xyz):
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# extract channels
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x, y, z = arr[..., 0], arr[..., 1], arr[..., 2]
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machineEps = np.finfo(np.float).eps
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eps = np.finfo(np.float).eps
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# compute y_r and L
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L = y / lab_ref_white[1]
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@@ -911,9 +911,9 @@ def xyz2luv(xyz):
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# u' and v' helper functions
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def fu( X, Y, Z ):
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return ( 4.*X ) / ( X + 15.*Y + 3.*Z + machineEps )
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return ( 4.*X ) / ( X + 15.*Y + 3.*Z + eps )
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def fv( X, Y, Z ):
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return ( 9.*Y ) / ( X + 15.*Y + 3.*Z + machineEps )
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return ( 9.*Y ) / ( X + 15.*Y + 3.*Z + eps )
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# compute u and v using helper functions
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u = 13.*L * ( fu(x,y,z) - u0 )
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@@ -956,7 +956,7 @@ def luv2xyz(luv):
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L, u, v = arr[:, :, 0], arr[:, :, 1], arr[:, :, 2]
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machineEps = np.finfo(np.float).eps
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eps = np.finfo(np.float).eps
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# compute y
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y = L.copy()
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@@ -971,8 +971,8 @@ def luv2xyz(luv):
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v0 = 9*lab_ref_white[1] / np.dot( uv_weights, lab_ref_white )
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# compute intermediate values
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a = u0 + u / ( 13.*L + machineEps )
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b = v0 + v / ( 13.*L + machineEps )
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a = u0 + u / ( 13.*L + eps )
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b = v0 + v / ( 13.*L + eps )
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c = 3*y * (5*b-3)
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# compute x and z
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