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
Metadata
Release files for locate-pixelcolor-cpp-parallelfor 0.11
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_cpp_parallelfor-0.11.tar.gz | 18.1 kB | Without provenance | Details for locate_pixelcolor_cpp_parallelfor-0.11.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| locate_pixelcolor_cpp_parallelfor-0.11-py3-none-any.whl | Python 3 | none | any | Details for locate_pixelcolor_cpp_parallelfor-0.11-py3-none-any.whl |
Total release size: 37.4 kB
Release files / locate_pixelcolor_cpp_parallelfor-0.11.tar.gz
| Download URL | locate_pixelcolor_cpp_parallelfor-0.11.tar.gz |
|---|---|
| Size | 18.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
15fd5c273f0fcbc1932d8d2c571313d31f10d4bfe9ea54b79791e1892321d1cb
|
|
BLAKE2b-256 checksum How to use checksums |
a0c07c09798dc957a2e762777162e485a58b83192948ad2e72e6f59887703335
|
| 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_cpp_parallelfor-0.11-py3-none-any.whl
| Download URL | locate_pixelcolor_cpp_parallelfor-0.11-py3-none-any.whl |
|---|---|
| Size | 19.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8d4e26e42029018330869c93018000e47ff01df311c8cb5f8d4994c4d4c1e2ff
|
|
BLAKE2b-256 checksum How to use checksums |
73a81c45b658d03c92c8a05ee32937d846a1e5762047aa1666fe1c7fdd45fb7e
|
| 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-cpp-parallelfor 0.11
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.