Description:
locatepixelcolorcppparallelfor 0.11
Detects colors in images up to 10 x faster than Numpy
pip install locate-pixelcolor-cpp-parallelfor
Tested against Windows 10 / Python 3.10 / Anaconda
Important!
The module imports a function from a compiled .dll (C++).
If you get any import errors, install: https://download.visualstudio.microsoft.com/download/pr/8b92f460-7e03-4c75-a139-e264a770758d/26C2C72FBA6438F5E29AF8EBC4826A1E424581B3C446F8C735361F1DB7BEFF72/VC_redist.x64.exe
How to use it in Python
import cv2
import numpy as np
from locate_pixelcolor_cpp_parallelfor 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, cpus=5)
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, cpus=4)
print(resus1)
####################################################################
# Pretty good, but this one is better: https://github.com/hansalemaos/locate_pixelcolor_cpppragma
%timeit resus0 = search_colors(pic=pic, colors=colors0, cpus=5)
69.4 ms ± 302 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=pic, colors=colors1, cpus=5)
151 ms ± 10.2 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 C++ Code
#include <atomic>
#include <ppl.h>
std::atomic<int> value(0);
int create_id()
{
return std::atomic_fetch_add(&value, 1);
}
extern "C" __declspec(dllexport) void colorsearch(char *pic, char *colors, int width, int totallengthpic, int totallengthcolor, int *outputx, int *outputy, int *lastresult)
{
value = 0;
concurrency::parallel_for(0, totallengthcolor / 3 + 1, [&](int i)
{
int r = i * 3;
int g = i * 3 + 1;
int b = i * 3 + 2;
for (int j = 0; j <= totallengthpic; j += 3)
{
if ((colors[r] == pic[j]) && (colors[g] == pic[j + 1]) && (colors[b] == pic[j + 2]))
{
int dividend = j / 3;
int quotient = dividend / width;
int remainder = dividend % width;
int upcounter = create_id();
outputx[upcounter] = quotient;
outputy[upcounter] = remainder;
lastresult[0] = upcounter;
}
} });
}
// cl.exe /std:c++20 /fp:fast /EHsc /Oi /Ot /Oy /Ob3 /GF /Gy /MD /openmp /LD cloop.cpp /Fe:cloop.dll
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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