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colorer.py
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colorer.py
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import numpy as np
import cv2
class Colorer():
"""
Colorer class. Manages colormaps as predefined as generated.
Splits colors for gradient filling.
Finds contour point in predefined order
Gradient fill prepared array of points.
Attributes
---------
color_dict: dict
Min and max values to generate some froup of colors (colormap)
"""
color_dict = {'hot':{'min':[3,3,0],
'max':[11,10,1]},
'cold':{'min':[0,0,3],
'max':[4,8,11]},
'pink':{'min':[2,1,2],
'max':[11,3,11]},
'green':{'min':[0,3,0],
'max':[8,11,8]}}
def __init__(self, fill_type):
self.fill_type = fill_type
self.gradient_fill = {'top_down':{'get_points':self.get_cntr_points,
'fill':self.fill_grad},
'diagonal':{'get_points':self.get_cntr_points_center,
'fill':self.fill_grad},
'center':{'get_points':self.get_cntr_points_from_center,
'fill':self.fill_grad_diff}}
def get_points(self,*args):
return self.gradient_fill[self.fill_type]['get_points'](*args)
def fill(self,*args):
self.gradient_fill[self.fill_type]['fill'](*args)
def get_random_colors(self, colors_cnt=3):
random_colors = []
for i in range(colors_cnt):
random_colors.append([np.random.rand() for i in range(3)])
return random_colors
def get_colors(self, colormap, colors_cnt=3):
colors = []
for i in range(colors_cnt):
color = [np.random.randint(self.color_dict[colormap]['min'][0],
self.color_dict[colormap]['max'][0])/10,
np.random.randint(self.color_dict[colormap]['min'][1],
self.color_dict[colormap]['max'][1])/10,
np.random.randint(self.color_dict[colormap]['min'][2],
self.color_dict[colormap]['max'][2])/10]
if colormap == 'hot':
if color[1] > color[0]:
color[1],color[0] = color[0],color[1]
colors.append(color)
return colors
def split_colors(self, color_count, color_from, color_to):
"""
Split colors for gradient filling depends on color count
Parameters
---------
color_count: int, required
Color count, for example in row or some area
color_from: list or tuple, required
First color of gradient filling
color_to: list or tuple, required
Second color of gradient filling
Returns
----------
list:
list of colors for gradient filling
"""
colors = []
for c in range(3):#RGB
step = np.abs(color_from[c] - color_to[c])/color_count
if step:
if color_from[c]>color_to[c]:
color = np.arange(color_from[c],color_to[c],-step)
else:
color = np.arange(color_from[c],color_to[c],step)
else:
color = [color_from[c] for i in np.arange(color_count)]
colors.append(color)
colors = [(a,b,c) for a,b,c in zip(colors[0],colors[1],colors[2])]
return colors
def get_cntr_points(self, contour, img_size):
"""
Finds the contour points in order of all rows and columns from 0 to image_size
Parameters
---------
contour: numpy.array, required
The countour to find points in
img_size: int, required
The image size, where petal should be drawn
Returns
----------
list:
points in contour in predefined order
"""
res_arr = []
# for each row
for row in range(img_size):
tmp_arr = []
# for each column
for col in range(img_size):
# if point in contour
if cv2.pointPolygonTest(contour,(row,col),True)> 0:
# add point to current line
tmp_arr.append([row,col])
if len(tmp_arr):
# add current line to result array
res_arr.append(tmp_arr)
return res_arr
def get_cntr_points_center(self, contour, img_size):
"""
Finds the contour points in order from image border to main diagonal
Parameters
---------
contour: numpy.array, required
The countour to find points in
img_size: int, required
The image size, where petal should be drawn
Returns
----------
list:
points in contour in predefined order
"""
res_arr = []
# first border line
for row in range(img_size):
tmp_arr = []
curr_row = row
curr_col = 0
while curr_row != -1:
if cv2.pointPolygonTest(contour,(curr_row,curr_col),True)> 0:
tmp_arr.append([curr_row,curr_col])
curr_row = curr_row -1
curr_col = curr_col +1
if len(tmp_arr):
res_arr.append(tmp_arr)
# second border line
for row in range(img_size):
tmp_arr = []
curr_row = row
curr_col = img_size -1
while curr_row != img_size:
if cv2.pointPolygonTest(contour,(curr_row,curr_col),True)> 0:
tmp_arr.append([curr_row,curr_col])
curr_row = curr_row +1
curr_col = curr_col -1
if len(tmp_arr):
res_arr.append(tmp_arr)
return res_arr
def get_cntr_points_from_center(self, contour, img_size):
"""
Finds the points in order from center of countour to image border
Parameters
---------
contour: numpy.array, required
The countour to find points in
img_size: int, required
The image size, where petal should be drawn
Returns
----------
list:
points in contour in predefined order
"""
res_arr = []
half_img_size = int(np.round(img_size/3))
diag_coord = np.random.randint(half_img_size,2*half_img_size)
# find the center point
center_point = [diag_coord,diag_coord]
# define all borders point
border = ([[0,i] for i in np.arange(0,img_size)] +
[[img_size,i] for i in np.arange(0,img_size)] +
[[i,0] for i in np.arange(0,img_size)] +
[[i,img_size] for i in np.arange(0,img_size)])
for point in border:
tmp_res = []
row_diff = point[0] - center_point[0]
col_diff = point[1] - center_point[1]
# find the distance between center point and border point
dist = int(np.round(np.sqrt(row_diff*row_diff+col_diff*col_diff)))
# find steps for row and column to go from center to border
row_step = row_diff/dist
col_step = col_diff/dist
row_diff = center_point[0]
col_diff = center_point[1]
c_point = [int(np.round(row_diff)),
int(np.round(col_diff))]
# go from center to border until points inside image
while ((c_point[0]>= 0)
and (c_point[0] < img_size)
and (c_point[1]>= 0)
and (c_point[1] < img_size)):
if cv2.pointPolygonTest(contour,(c_point[0],c_point[1]),True)> 0:
tmp_res.append(c_point)
row_diff = row_diff + row_step
col_diff = col_diff + col_step
c_point = [int(np.round(row_diff)),
int(np.round(col_diff))]
if len(tmp_res):
res_arr.append(tmp_res)
return res_arr
def fill_grad(self,img, contour, points, color_from, color_to, fill_color):
color_count = len(points)
colors = self.split_colors(color_count,color_from,color_to)
for i,row in enumerate(points):
color = colors[i]
for point in row:
if (all(img[point[1], point[0]] ==fill_color)):
img[point[1], point[0]] = color
if (all(img[point[1]+1, point[0]+1] ==fill_color)):
img[point[1]+1, point[0]+1] = color
if (all(img[point[1]+1, point[0]][0] ==fill_color)):
img[point[1]+1, point[0]] = color
def fill_grad_diff(self, img, contour, points, color_from, color_to, fill_color):
for i,line in enumerate(points):
color_count = len(line)
colors = self.split_colors(color_count,color_from,color_to)
for i,point in enumerate(line):
if (all(img[point[1], point[0]] ==fill_color)):
img[point[1], point[0]] = colors[i]
if (all(img[point[1]+1, point[0]+1] ==fill_color)):
img[point[1]+1, point[0]+1] = colors[i]
if (all(img[point[1]+1, point[0]][0] ==fill_color)):
img[point[1]+1, point[0]] = colors[i]
if (all(img[point[1], point[0]+1] ==fill_color)):
img[point[1], point[0]+1] = colors[i]
if (all(img[point[1]-1, point[0]-1] ==fill_color)):
img[point[1]-1, point[0]-1] = colors[i]
if (all(img[point[1]-1, point[0]][0] ==fill_color)):
img[point[1]-1, point[0]] = colors[i]
if (all(img[point[1], point[0]-1] ==fill_color)):
img[point[1], point[0]-1] = colors[i]
if (all(img[point[1]-1, point[0]][0]+1 ==fill_color)):
img[point[1]-1, point[0]+1] = colors[i]
if (all(img[point[1]+1, point[0]-1] ==fill_color)):
img[point[1]+1, point[0]-1] = colors[i]