# Detects colors in images 5-10 x faster than Numpy
### pip install locate-pixelcolor-cythonmulti
#### Tested+compiled against Windows 10 / Python 3.10 / Anaconda
#### If you can't import it, compile it on your system (code at the end of this page)
### How to use it in Python
```python
import numpy as np
import cv2
from locate_pixelcolor_cythonmulti import search_colors
# 4525 x 6623 x 3 picture https://www.pexels.com/pt-br/foto/foto-da-raposa-sentada-no-chao-2295744/
picx = r"C:\Users\hansc\Downloads\pexels-alex-andrews-2295744.jpg"
pic = cv2.imread(picx)
colors0 = np.array([[255, 255, 255]],dtype=np.uint8)
resus0 = search_colors(pic=pic, colors=colors0)
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),],dtype=np.uint8)
resus1 = search_colors(pic=pic, colors=colors1)
####################################################################
%timeit resus0=search_colors(pic,colors0)
32.3 ms ± 279 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
b,g,r = pic[...,0],pic[...,1],pic[...,2]
%timeit np.where(((b==255)&(g==255)&(r==255)))
150 ms ± 209 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
####################################################################
%timeit resus1=search_colors(pic, colors1)
151 ms ± 3.21 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
%timeit np.where(((b==66)&(g==71)&(r==69))|((b==62)&(g==67)&(r==65))|((b==144)&(g==155)&(r==153))|((b==52)&(g==57)&(r==55))|((b==127)&(g==138)&(r==136))|((b==53)&(g==58)&(r==56))|((b==51)&(g==56)&(r==54))|((b==32)&(g==27)&(r==18))|((b==24)&(g==17)&(r==8)))
1 s ± 16.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
####################################################################
```
### The Cython Code
```python
# distutils: language = c++
# cython: language_level=3
# distutils: extra_compile_args = /openmp
# distutils: extra_link_args = /openmp
from cython.parallel cimport prange
cimport cython
import numpy as np
cimport numpy as np
import cython
from collections import defaultdict
@cython.boundscheck(False)
@cython.wraparound(False)
@cython.cdivision(True)
cpdef searchforcolor(unsigned char[:] pic, unsigned char[:] colors, int width, int totallengthpic, int totallengthcolor):
cdef my_dict = defaultdict(list)
cdef int i, j
cdef unsigned char r,g,b
for i in prange(0, totallengthcolor, 3,nogil=True):
r = colors[i]
g = colors[i + 1]
b = colors[i + 2]
for j in range(0, totallengthpic, 3):
if (r == pic[j]) and (g == pic[j+1]) and (b == pic[j+2]):
with gil:
my_dict[(r,g,b)].append(j )
for key in my_dict.keys():
my_dict[key] = np.dstack(np.divmod(np.array(my_dict[key]) // 3, width))[0]
return my_dict
```
### setup.py to compile the code
```python
# distutils: language = c++
# cython: language_level=3
from setuptools import Extension, setup
from Cython.Build import cythonize
import numpy as np
ext_modules = [
Extension("colorsearchcythonmulti", ["colorsearchcythonmulti.pyx"], include_dirs=[np.get_include()],define_macros=[("NPY_NO_DEPRECATED_API", "NPY_1_7_API_VERSION")])
]
setup(
name='colorsearchcythonmulti',
ext_modules=cythonize(ext_modules),
)
# .\python.exe .\colorsearchcythonmultisetup.py build_ext --inplace
```
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"description": "# Detects colors in images 5-10 x faster than Numpy \r\n\r\n### pip install locate-pixelcolor-cythonmulti\r\n\r\n#### Tested+compiled against Windows 10 / Python 3.10 / Anaconda\r\n\r\n#### If you can't import it, compile it on your system (code at the end of this page)\r\n\r\n\r\n\r\n### How to use it in Python \r\n\r\n```python\r\nimport numpy as np\r\nimport cv2\r\nfrom locate_pixelcolor_cythonmulti import search_colors\r\n# 4525 x 6623 x 3 picture https://www.pexels.com/pt-br/foto/foto-da-raposa-sentada-no-chao-2295744/\r\npicx = r\"C:\\Users\\hansc\\Downloads\\pexels-alex-andrews-2295744.jpg\"\r\npic = cv2.imread(picx)\r\ncolors0 = np.array([[255, 255, 255]],dtype=np.uint8)\r\nresus0 = search_colors(pic=pic, colors=colors0)\r\ncolors1=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),],dtype=np.uint8)\r\nresus1 = search_colors(pic=pic, colors=colors1)\r\n####################################################################\r\n%timeit resus0=search_colors(pic,colors0)\r\n32.3 ms \u00c2\u00b1 279 \u00c2\u00b5s per loop (mean \u00c2\u00b1 std. dev. of 7 runs, 10 loops each)\r\n\r\nb,g,r = pic[...,0],pic[...,1],pic[...,2]\r\n%timeit np.where(((b==255)&(g==255)&(r==255)))\r\n150 ms \u00c2\u00b1 209 \u00c2\u00b5s per loop (mean \u00c2\u00b1 std. dev. of 7 runs, 10 loops each)\r\n####################################################################\r\n%timeit resus1=search_colors(pic, colors1)\r\n151 ms \u00c2\u00b1 3.21 ms per loop (mean \u00c2\u00b1 std. dev. of 7 runs, 10 loops each)\r\n\r\n%timeit np.where(((b==66)&(g==71)&(r==69))|((b==62)&(g==67)&(r==65))|((b==144)&(g==155)&(r==153))|((b==52)&(g==57)&(r==55))|((b==127)&(g==138)&(r==136))|((b==53)&(g==58)&(r==56))|((b==51)&(g==56)&(r==54))|((b==32)&(g==27)&(r==18))|((b==24)&(g==17)&(r==8)))\r\n1 s \u00c2\u00b1 16.1 ms per loop (mean \u00c2\u00b1 std. dev. of 7 runs, 1 loop each)\r\n####################################################################\r\n```\r\n\r\n\r\n### The Cython Code \r\n\r\n```python\r\n# distutils: language = c++\r\n# cython: language_level=3\r\n# distutils: extra_compile_args = /openmp\r\n# distutils: extra_link_args = /openmp\r\n\r\n\r\nfrom cython.parallel cimport prange\r\ncimport cython\r\nimport numpy as np\r\ncimport numpy as np\r\nimport cython\r\nfrom collections import defaultdict\r\n\r\n@cython.boundscheck(False)\r\n@cython.wraparound(False)\r\n@cython.cdivision(True)\r\ncpdef searchforcolor(unsigned char[:] pic, unsigned char[:] colors, int width, int totallengthpic, int totallengthcolor):\r\n cdef my_dict = defaultdict(list)\r\n cdef int i, j\r\n cdef unsigned char r,g,b\r\n for i in prange(0, totallengthcolor, 3,nogil=True):\r\n r = colors[i]\r\n g = colors[i + 1]\r\n b = colors[i + 2]\r\n for j in range(0, totallengthpic, 3):\r\n if (r == pic[j]) and (g == pic[j+1]) and (b == pic[j+2]):\r\n with gil:\r\n my_dict[(r,g,b)].append(j )\r\n\r\n for key in my_dict.keys():\r\n my_dict[key] = np.dstack(np.divmod(np.array(my_dict[key]) // 3, width))[0]\r\n return my_dict\r\n\r\n```\r\n\r\n\r\n### setup.py to compile the code \r\n\r\n\r\n```python\r\n# distutils: language = c++\r\n# cython: language_level=3\r\n\r\nfrom setuptools import Extension, setup\r\nfrom Cython.Build import cythonize\r\nimport numpy as np\r\next_modules = [\r\n Extension(\"colorsearchcythonmulti\", [\"colorsearchcythonmulti.pyx\"], include_dirs=[np.get_include()],define_macros=[(\"NPY_NO_DEPRECATED_API\", \"NPY_1_7_API_VERSION\")])\r\n]\r\n\r\nsetup(\r\n name='colorsearchcythonmulti',\r\n ext_modules=cythonize(ext_modules),\r\n)\r\n\r\n\r\n# .\\python.exe .\\colorsearchcythonmultisetup.py build_ext --inplace\r\n```\r\n",
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