From ddf7363edabae0cf958c4332a86fba96d0bb3a17 Mon Sep 17 00:00:00 2001
From: Colombo <lepersorium@gmail.com>
Date: Sat, 6 Jun 2020 20:02:21 +0400
Subject: [PATCH] remove unused code

---
 core/imagelib/__init__.py       |  2 +-
 core/imagelib/color_transfer.py | 49 ---------------------------------
 2 files changed, 1 insertion(+), 50 deletions(-)

diff --git a/core/imagelib/__init__.py b/core/imagelib/__init__.py
index 3ca92a2..4e8b83d 100644
--- a/core/imagelib/__init__.py
+++ b/core/imagelib/__init__.py
@@ -12,7 +12,7 @@ from .warp import gen_warp_params, warp_by_params
 
 from .reduce_colors import reduce_colors
 
-from .color_transfer import color_transfer, color_transfer_mix, color_transfer_sot, color_transfer_mkl, color_transfer_idt, color_hist_match, reinhard_color_transfer, linear_color_transfer, seamless_clone
+from .color_transfer import color_transfer, color_transfer_mix, color_transfer_sot, color_transfer_mkl, color_transfer_idt, color_hist_match, reinhard_color_transfer, linear_color_transfer
 
 from .common import normalize_channels, cut_odd_image, overlay_alpha_image
 
diff --git a/core/imagelib/color_transfer.py b/core/imagelib/color_transfer.py
index a329f7a..efc5a82 100644
--- a/core/imagelib/color_transfer.py
+++ b/core/imagelib/color_transfer.py
@@ -1,10 +1,7 @@
 import cv2
 import numpy as np
 from numpy import linalg as npla
-
 import scipy as sp
-import scipy.sparse
-from scipy.sparse.linalg import spsolve
 
 def color_transfer_sot(src,trg, steps=10, batch_size=5, reg_sigmaXY=16.0, reg_sigmaV=5.0):
     """
@@ -134,52 +131,6 @@ def color_transfer_idt(i0, i1, bins=256, n_rot=20):
 
     return np.clip ( d0.T.reshape ( (h,w,c) ).astype(i0.dtype) , 0, 1)
 
-def laplacian_matrix(n, m):
-    mat_D = scipy.sparse.lil_matrix((m, m))
-    mat_D.setdiag(-1, -1)
-    mat_D.setdiag(4)
-    mat_D.setdiag(-1, 1)
-    mat_A = scipy.sparse.block_diag([mat_D] * n).tolil()
-    mat_A.setdiag(-1, 1*m)
-    mat_A.setdiag(-1, -1*m)
-    return mat_A
-
-def seamless_clone(source, target, mask):
-    h, w,c = target.shape
-    result = []
-
-    mat_A = laplacian_matrix(h, w)
-    laplacian = mat_A.tocsc()
-
-    mask[0,:] = 1
-    mask[-1,:] = 1
-    mask[:,0] = 1
-    mask[:,-1] = 1
-    q = np.argwhere(mask==0)
-
-    k = q[:,1]+q[:,0]*w
-    mat_A[k, k] = 1
-    mat_A[k, k + 1] = 0
-    mat_A[k, k - 1] = 0
-    mat_A[k, k + w] = 0
-    mat_A[k, k - w] = 0
-
-    mat_A = mat_A.tocsc()
-    mask_flat = mask.flatten()
-    for channel in range(c):
-
-        source_flat = source[:, :, channel].flatten()
-        target_flat = target[:, :, channel].flatten()
-
-        mat_b = laplacian.dot(source_flat)*0.75
-        mat_b[mask_flat==0] = target_flat[mask_flat==0]
-
-        x = spsolve(mat_A, mat_b).reshape((h, w))
-        result.append (x)
-
-
-    return np.clip( np.dstack(result), 0, 1 )
-
 def reinhard_color_transfer(target, source, clip=False, preserve_paper=False, source_mask=None, target_mask=None):
 	"""
 	Transfers the color distribution from the source to the target