# some stuff for images
### Tested against Windows 10 / Python 3.11 / Anaconda
### pip install cythonimagever
### Cython and a C compiler must be installed!
```PY
import numpy as np
import cv2
from cythonimagever import all_colors_in,any_colors_in,average_rgb,find_colors,rgb_color_count_numpy,rgb_color_count_sorted_by_qty_numpy,rgb_color_count_sorted_by_color_numpy
from a_cv_imwrite_imread_plus import open_image_in_cv
from time import perf_counter
# 4525 x 6623 x 3 picture https://www.pexels.com/pt-br/foto/foto-da-raposa-sentada-no-chao-2295744/
picpath = r"C:\Users\hansc\Downloads\pexels-alex-andrews-2295744.jpg"
picture = open_image_in_cv(picpath, channels_in_output=3)
colors1 = np.array(
[
(66, 71, 69),
(62, 67, 65),
(144, 155, 153),
(52, 57, 55),
(127, 138, 136),
(53, 58, 56),
(51, 56, 54),
(32, 27, 18),
(24, 17, 8),
(10, 15, 122),
],
dtype=np.uint8,
)
print(f'{rgb_color_count_numpy(picture, picture.shape) =}')
print(f'{rgb_color_count_sorted_by_qty_numpy(picture, picture.shape) =}')
print(f'{rgb_color_count_sorted_by_color_numpy(picture, picture.shape) =}')
print(f'{find_colors(picture, colors1) =}')
print(f'{average_rgb(picture) =}')
print(f'{any_colors_in(picture, colors1) =}')
print(f'{all_colors_in(picture, colors1) =}')
# rgb_color_count_numpy(picture, picture.shape) =array([[ 0, 0, 0, 38],
# [ 1, 0, 0, 33],
# [ 3, 0, 0, 41],
# ...,
# [ 252, 255, 255, 183],
# [ 254, 255, 255, 1495],
# [ 255, 255, 255, 4588]], dtype=uint32)
# rgb_color_count_sorted_by_qty_numpy(picture, picture.shape) =array([[ 132, 83, 76, 1],
# [ 184, 71, 31, 1],
# [ 189, 71, 31, 1],
# ...,
# [ 12, 21, 26, 417740],
# [ 13, 22, 27, 418847],
# [ 11, 20, 25, 447605]], dtype=uint32)
# rgb_color_count_sorted_by_color_numpy(picture, picture.shape) =array([[ 0, 0, 0, 38],
# [ 1, 0, 0, 33],
# [ 3, 0, 0, 41],
# ...,
# [ 252, 255, 255, 183],
# [ 254, 255, 255, 1495],
# [ 255, 255, 255, 4588]], dtype=uint32)
# find_colors(picture, colors1) =array([[ 127, 138, 136, 38, 0],
# [ 66, 71, 69, 4522, 0],
# [ 62, 67, 65, 4523, 0],
# ...,
# [ 24, 17, 8, 4522, 6622],
# [ 24, 17, 8, 4523, 6622],
# [ 24, 17, 8, 4524, 6622]], dtype=int64)
# average_rgb(picture) =(76, 83, 85)
# any_colors_in(picture, colors1) =True
# all_colors_in(picture, colors1) =array([[ 66, 71, 69, 1],
# [ 62, 67, 65, 1],
# [144, 155, 153, 1],
# [ 52, 57, 55, 1],
# [127, 138, 136, 1],
# [ 53, 58, 56, 1],
# [ 51, 56, 54, 1],
# [ 32, 27, 18, 1],
# [ 24, 17, 8, 1],
# [ 10, 15, 122, 0]], dtype=uint8)
```
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"description": "\r\n# some stuff for images\r\n\r\n### Tested against Windows 10 / Python 3.11 / Anaconda\r\n\r\n### pip install cythonimagever\r\n\r\n### Cython and a C compiler must be installed! \r\n\r\n```PY\r\nimport numpy as np\r\nimport cv2\r\nfrom cythonimagever import all_colors_in,any_colors_in,average_rgb,find_colors,rgb_color_count_numpy,rgb_color_count_sorted_by_qty_numpy,rgb_color_count_sorted_by_color_numpy\r\nfrom a_cv_imwrite_imread_plus import open_image_in_cv\r\nfrom time import perf_counter\r\n# 4525 x 6623 x 3 picture https://www.pexels.com/pt-br/foto/foto-da-raposa-sentada-no-chao-2295744/\r\npicpath = r\"C:\\Users\\hansc\\Downloads\\pexels-alex-andrews-2295744.jpg\"\r\npicture = open_image_in_cv(picpath, channels_in_output=3)\r\ncolors1 = np.array(\r\n [\r\n (66, 71, 69),\r\n (62, 67, 65),\r\n (144, 155, 153),\r\n (52, 57, 55),\r\n (127, 138, 136),\r\n (53, 58, 56),\r\n (51, 56, 54),\r\n (32, 27, 18),\r\n (24, 17, 8),\r\n (10, 15, 122),\r\n ],\r\n dtype=np.uint8,\r\n)\r\nprint(f'{rgb_color_count_numpy(picture, picture.shape) =}')\r\nprint(f'{rgb_color_count_sorted_by_qty_numpy(picture, picture.shape) =}')\r\nprint(f'{rgb_color_count_sorted_by_color_numpy(picture, picture.shape) =}')\r\nprint(f'{find_colors(picture, colors1) =}')\r\nprint(f'{average_rgb(picture) =}')\r\nprint(f'{any_colors_in(picture, colors1) =}')\r\nprint(f'{all_colors_in(picture, colors1) =}')\r\n\r\n# rgb_color_count_numpy(picture, picture.shape) =array([[ 0, 0, 0, 38],\r\n# [ 1, 0, 0, 33],\r\n# [ 3, 0, 0, 41],\r\n# ...,\r\n# [ 252, 255, 255, 183],\r\n# [ 254, 255, 255, 1495],\r\n# [ 255, 255, 255, 4588]], dtype=uint32)\r\n# rgb_color_count_sorted_by_qty_numpy(picture, picture.shape) =array([[ 132, 83, 76, 1],\r\n# [ 184, 71, 31, 1],\r\n# [ 189, 71, 31, 1],\r\n# ...,\r\n# [ 12, 21, 26, 417740],\r\n# [ 13, 22, 27, 418847],\r\n# [ 11, 20, 25, 447605]], dtype=uint32)\r\n# rgb_color_count_sorted_by_color_numpy(picture, picture.shape) =array([[ 0, 0, 0, 38],\r\n# [ 1, 0, 0, 33],\r\n# [ 3, 0, 0, 41],\r\n# ...,\r\n# [ 252, 255, 255, 183],\r\n# [ 254, 255, 255, 1495],\r\n# [ 255, 255, 255, 4588]], dtype=uint32)\r\n# find_colors(picture, colors1) =array([[ 127, 138, 136, 38, 0],\r\n# [ 66, 71, 69, 4522, 0],\r\n# [ 62, 67, 65, 4523, 0],\r\n# ...,\r\n# [ 24, 17, 8, 4522, 6622],\r\n# [ 24, 17, 8, 4523, 6622],\r\n# [ 24, 17, 8, 4524, 6622]], dtype=int64)\r\n# average_rgb(picture) =(76, 83, 85)\r\n# any_colors_in(picture, colors1) =True\r\n# all_colors_in(picture, colors1) =array([[ 66, 71, 69, 1],\r\n# [ 62, 67, 65, 1],\r\n# [144, 155, 153, 1],\r\n# [ 52, 57, 55, 1],\r\n# [127, 138, 136, 1],\r\n# [ 53, 58, 56, 1],\r\n# [ 51, 56, 54, 1],\r\n# [ 32, 27, 18, 1],\r\n# [ 24, 17, 8, 1],\r\n# [ 10, 15, 122, 0]], dtype=uint8)\r\n```\r\n",
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