Detect colors in images - 20 x faster than Numpy / 430 x faster than PIL
pip install locate-pixelcolor-cpppragma
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 numpy as np
import cv2
from locate_pixelcolor_cpppragma 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)
####################################################################
%timeit resus0 = search_colors(pic=pic, colors=colors0, cpus=5)
23.4 ms ± 40.6 µs per loop (mean ± std. dev. of 7 runs, 10 loops each) # 10.9 ms after last update
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=4)
46.6 ms ± 988 µs per loop (mean ± std. dev. of 7 runs, 10 loops each) # 43.6 after last update
%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 <omp.h>
#include <atomic>
std::atomic<int> value(0);
int create_id() {
return value++;
}
extern "C" __declspec(dllexport) void colorsearch(unsigned char *pic, unsigned char *colors, int width, int totallengthpic, int totallengthcolor, int *outputx, int *outputy, int *lastresult)
{
value = 0;
int counter = 0;
#pragma omp parallel reduction(+ : counter)
{
for (int i = 0; i <= totallengthcolor; i += 3)
{
int r = colors[i];
int g = colors[i + 1];
int b = colors[i + 2];
#pragma omp for schedule(static)
for (int j = 0; j <= totallengthpic; j += 3)
{
if ((r == pic[j]) && (g == pic[j + 1]) && (b == pic[j + 2]))
{
#pragma omp critical
{
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;
}
}
}
}
}
}
extern "C" __declspec(dllexport) void colorsearch2(unsigned char *pic, unsigned char *colors, int width, int totallengthpic, int totallengthcolor, int *outputx, int *outputy, int *lastresult)
{
value=0;
int counter = 0;
#pragma omp parallel reduction(+ \
: counter)
{
#pragma omp for schedule(static)
for (int i = 0; i <= totallengthcolor; i += 3)
{
int r = colors[i];
int g = colors[i + 1];
int b = colors[i + 2];
for (int j = 0; j <= totallengthpic; j += 3)
{
if ((r == pic[j]) && (g == pic[j + 1]) && (b == pic[j + 2]))
{
#pragma omp critical
{
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;
}
}
}
}
}
}
// Compile:
// cl.exe /std:c++20 /fp:fast /EHsc /MT /Og /Oi /Ot /Oy /Ob3 /GF /Gy /MD /openmp /LD clooppra.cpp /Fe:clooppra.dll
// or
// cl.exe /std:c++20 /fp:fast /EHsc /O2 /MD /openmp /LD clooppra.cpp /Fe:clooppra.dll
Metadata
Release files for locate-pixelcolor-cpppragma 0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| locate_pixelcolor_cpppragma-0.12.tar.gz | 28.3 kB | Without provenance | Details for locate_pixelcolor_cpppragma-0.12.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| locate_pixelcolor_cpppragma-0.12-py3-none-any.whl | Python 3 | none | any | Details for locate_pixelcolor_cpppragma-0.12-py3-none-any.whl |
Total release size: 57.3 kB
Release files / locate_pixelcolor_cpppragma-0.12.tar.gz
| Download URL | locate_pixelcolor_cpppragma-0.12.tar.gz |
|---|---|
| Size | 28.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0a455a60539d18a2c990e316f656d99dda7b1fb158f771474ade225d1a0b268e
|
|
BLAKE2b-256 checksum How to use checksums |
08cc87ba05ad819bbbdc6bad36aac947d0d0cf4e77584e593a283eff8976ece0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Release files / locate_pixelcolor_cpppragma-0.12-py3-none-any.whl
| Download URL | locate_pixelcolor_cpppragma-0.12-py3-none-any.whl |
|---|---|
| Size | 29.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5adcd597795e92b02686c80a45184ca5c0961b72d6f056e1793bb3dc69f3d840
|
|
BLAKE2b-256 checksum How to use checksums |
c76c8e30828497338d99b54fa828f0f529400dbcd0b9080cd56a2a6c60b9b617
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Security for locate-pixelcolor-cpppragma 0.12
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.