# Locate RGB colors faster than ever with this efficient color search module (C + multiprocessing)!
## pip install chopchopcolorc
## Tested against Python 3.11 / Windows 10
### In Action - one CPU only:
[](https://www.youtube.com/watch?v=bhLRYlK0cts)
[https://www.youtube.com/watch?v=bhLRYlK0cts]()
```python
This module provides functions for parallel color search in a collection of images.
It utilizes multiprocessing and a code written in C to efficiently process images concurrently.
Functions:
1. **_color_search_c(pic, colors):**
- Internal function for color search in a single image.
- Utilizes the 'locate_pixelcolor_c' module to search for specified colors.
- Returns an array of coordinates where the colors are found.
2. **color_search_c(pics, rgb_tuples, cpus=5, chunks=1, print_stderr=True, print_stdout=False, usecache=True):**
- Executes parallel color search on a list of images using multiprocessing.
- Utilizes '_color_search_c' for each image in parallel.
- Returns a dictionary with image indices mapped to their corresponding color search results.
Example Usage:
from chopchopcolorc import color_search_c
from list_all_files_recursively import get_folder_file_complete_path # optional
folder=r"C:\testfolderall"
colors2find = (
(69, 71, 66),
(255, 255, 255),
(153, 155, 144),
(55, 57, 52),
(136, 138, 127),
(56, 58, 53),
(54, 56, 51),
(0, 180, 252),
)
allpi = [
x.path
for x in get_folder_file_complete_path(folder)
if x.ext == ".png"
]
colorresults=color_search_c(pics=allpi, rgb_tuples=colors2find, cpus=6, chunks=1, print_stderr=True,
print_stdout=False, usecache=True,)
print(colorresults)
```
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