A couple of fast algorithms for counting and locating colors in pictures
Project description
A couple of fast algorithms for counting and locating colors in pictures
Get all coordinates of a certain color in your picture
$pip install fast-color-checker
from fast_color_checker import ColorCheck
pic = ColorCheck(r"https://www.python.org/static/opengraph-icon-200x200.png")
x0, y0, xy0 = pic.get_coords_of_color((255, 212, 59))
x0
Out[4]:
array([164, 162, 163, 164, 161, 162, 163, 159, 160, 161, 162, 163, 158,
159, 160, 161, 162, 157, 158, 159, 160, 161, 162, 155, 156, 157,
158, 159, 160, 161, 154, 155, 156, 157, 158, 159, 160, 161, 152,
153, 154, 155, 156, 157, 158, 159, 160, 151, 152, 153, 154, 155,
156, 157, 158, 159, 160, 149, 150, 151, 152, 153, 154, 155, 156,
....
y0
Out[7]:
array([117, 118, 118, 118, 119, 119, 119, 120, 120, 120, 120, 120, 121,
121, 121, 121, 121, 122, 122, 122, 122, 122, 122, 123, 123, 123,
123, 123, 123, 123, 124, 124, 124, 124, 124, 124, 124, 124, 125,
125, 125, 125, 125, 125, 125, 125, 125, 126, 126, 126
....
xy0
Out[9]: (if zipxy is True) / (None if zipxy is False)
((164, 117),
(162, 118),
(163, 118),
(164, 118),
(161, 119),
(162, 119),
(163, 119),
(159, 120),
(160, 120),
(161, 120),
(162, 120),
(163, 120),
....
Parameters:
color:Union[str,tuple,list]
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
zipxy: bool
[50,100,200], [20,120,220] -> [(50,20), (100,120), (200,220)]
(default=True)
highlightcolor:Union[None,tuple]=None
Only relevant if you want to see the output results with pic.show_result()
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
(default=None)
Returns:
tuple
(all x coordinates, all y coordinates, zipped x,y coordinates/None)
Get all coordinates of a certain color range in your picture
pic = ColorCheck(r"https://www.python.org/static/opengraph-icon-200x200.png")
each_color_detailed1,sum_1=pic.get_coords_of_color_range(start=(255,215,60),end= '#FFE262',highlightcolor=(255,0,255))
#result https://github.com/hansalemaos/screenshots/raw/main/colorfind2.png
each_color_detailed1
....
((255, 210, 60), ()),
((255, 211, 55), ()),
((255, 211, 56), ()),
((255, 211, 57), ()),
((255, 211, 58), ()),
((255, 211, 59), ()),
((255, 211, 60), ()),
((255, 212, 55), ()),
((255, 212, 56), ()),
((255, 212, 57), ()),
((255, 212, 58), ()),
((255, 212, 59),
((164, 117),
(162, 118),
(163, 118),
(164, 118),
(161, 119),
(162, 119),
(163, 119),
(159, 120),
(160, 120),
(161, 120),
(162, 120),
(163, 120),
....
sum1
...
(132, 125),
(130, 126),
(131, 126),
(129, 127),
(130, 127),
(128, 128),
(126, 129),
(127, 129),
(125, 130),
(123, 131),
(124, 131),
(115, 137),
(113, 138),
(114, 138),
(112, 139),
(110, 140),
(111, 140),
...
Parameters:
start:Union[str,tuple,list]
start of the color range
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
end:Union[str,tuple,list]
end of the color range
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
highlightcolor:Union[None,tuple]=None
Only relevant if you want to see the output results with pic.show_result()
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
(default=None)
Returns:
tuple
(all x coordinates, all y coordinates, zipped x,y coordinates/None)
Count how often a certain color is present
Count how often a certain color is present
pic = ColorCheck(r"https://www.python.org/static/opengraph-icon-200x200.png")
pic.count_color((255, 212, 59))
Out[12]: 477
Parameters:
color:Union[str,tuple,list]
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
Returns:
int
Count how often the colors of a certain color range are present
Count how often the colors of a certain color range are present
pic = ColorCheck(r"https://www.python.org/static/opengraph-icon-200x200.png")
each_color_detailed, sum_ = pic.count_color_range(start=(255, 215, 60), end="FFE262")
sum_
Out[5]: 2976
each_color_detailed
Out[6]:
[((255, 215, 60), 0),
((255, 215, 61), 0),
((255, 215, 62), 0),
((255, 215, 63), 0),
((255, 215, 64), 0),
((255, 215, 65), 0),
((255, 215, 66), 48),
((255, 215, 67), 69),
((255, 215, 68), 87),
((255, 215, 69), 19),
...
Parameters:
start:Union[str,tuple,list]
start of the color range
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
end:Union[str,tuple,list]
end of the color range
examples of valid inputs: (255, 212, 59), ffa7d7, #ffa9d9, black
Returns:
tuple
Get all colors in an image
pic = ColorCheck(r"https://www.python.org/static/opengraph-icon-200x200.png")
pic.get_all_colors_in_image()
((0, 0, 0),
(77, 64, 18),
(80, 66, 18),
(83, 69, 20),
(86, 72, 20),
(87, 72, 20),
(88, 73, 20),
(77, 66, 21),
(73, 63, 23),
(81, 70, 26),
(118, 98, 27),
...
Count all colors
pic.count_all_colors()
Out[4]:
[((0, 0, 0), 27515),
((77, 64, 18), 1),
((80, 66, 18), 1),
((83, 69, 20), 1),
((86, 72, 20), 1),
((87, 72, 20), 1),
((88, 73, 20), 1),
((77, 66, 21), 1),
...
Limit search region
Limit search to a certain region of the picture
pic = ColorCheck(r"https://www.python.org/static/opengraph-icon-200x200.png")
pic.crop_imageselection((100, 100), (150, 150))
each_color_detailed1, sum_1 = pic.get_coords_of_color_range(
start=(255, 215, 60), end="#FFE262", highlightcolor=(255, 0, 255)
)
pic.reset_cropped_imageselection()
x1, y1, xy1 = pic.get_coords_of_color(
(255, 212, 59), zipxy=False, highlightcolor=(255, 0, 0)
)
pic.show_result()
#result: https://github.com/hansalemaos/screenshots/raw/main/colorfind4.png
Parameters:
start: tuple
x,y coordinates
end: tuple
x,y coordinates
Returns:
self
Reset limited search region
pic.reset_cropped_imageselection()
Show results
pic.show_result()
Show results
Parameters:
window_name: str
OpenCV window title
(default = "")
quit_key: str
Key to close OpenCV window
(default = "q")
Returns:
self
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