fast-color-checker 0.10

A couple of fast algorithms for counting and locating colors in pictures

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