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Description:

cythonimagetools 0.10

Provides functions (Cython - C) for color analysis in images, including finding unique colors, counting occurrences, and comparing images
pip install cythonimagetools
Tested against Windows / Python 3.11 / Anaconda
Cython (and a C/C++ compiler) must be installed
import numpy as np
from cythonimagetools import get_unique_colors, count_colors, get_most_frequent_colors, get_rgb_coords, \
get_rgb_coords_parallel, compare_rgb_values_of_2_pics, find_color_ranges

# Generate a random image
np.random.seed(0)
x = np.random.randint(0, 9, (1000, 1000, 3))

# Get unique colors in the image
uniquecolors = get_unique_colors(x)
print(uniquecolors)

# Count the occurrence of each color in the image
allcolors = count_colors(x)
print(allcolors)

# Get the most frequent colors in the image
most_freq_colors = get_most_frequent_colors(x)
print(most_freq_colors)

# Get RGB coordinates of each pixel in the image
rgb_coords = get_rgb_coords(x)
print(rgb_coords)

# Get RGB coordinates in parallel
rgb_coords_parallel = get_rgb_coords_parallel(x)
print(rgb_coords_parallel)

# Compare RGB values of two images within a specified tolerance
pic1 = np.random.randint(0, 255, (1000, 1000, 3), dtype=np.uint8)
pic2 = np.random.randint(0, 200, (1000, 1000, 3), dtype=np.uint8)
ru = compare_rgb_values_of_2_pics(pic1, pic2, rmax=10, gmax=10, bmax=10)
print(ru)

# Find color ranges in an image based on given colors and tolerance
colors = np.array([[2, 7, 4], [4, 7, 2]], dtype=np.uint8)
foundcolors = find_color_ranges(x, colors, rmax=1, gmax=1, bmax=2)
print(foundcolors)

print(uniquecolors)
print('--------------------')

print(allcolors)
print('--------------------')

print(most_freq_colors)
print('--------------------')

print(rgb_coords)
print('--------------------')

print(rgb_coords_parallel)
print('--------------------')

print(ru)
print('--------------------')

print(colors)
print('--------------------')

print(foundcolors)
print('--------------------')

# [[3 0 5]
# [3 7 3]
# [4 2 5]
# ...
# [2 0 7]
# [3 8 5]
# [2 4 1]]
# --------------------
# [[ 3 0 5 1402]
# [ 3 7 3 1380]
# [ 4 2 5 1369]
# ...
# [ 2 0 7 1413]
# [ 3 8 5 1343]
# [ 2 4 1 1405]]
# --------------------
# [[ 2 7 4 1473]]
# --------------------
# [[ 3 0 5 0 0]
# [ 3 7 3 0 1]
# [ 4 2 5 0 2]
# ...
# [ 6 1 1 999 997]
# [ 0 6 4 999 998]
# [ 8 0 6 999 999]]
# --------------------
# [[ 3 0 5 0 0]
# [ 3 7 3 0 1]
# [ 4 2 5 0 2]
# ...
# [ 6 1 1 999 997]
# [ 0 6 4 999 998]
# [ 8 0 6 999 999]]
# --------------------
# [[143 76 62 ... 5 920 0]
# [153 80 38 ... 9 190 3]
# [ 42 198 93 ... 8 332 3]
# ...
# [ 71 12 64 ... 5 0 995]
# [174 85 160 ... 7 107 996]
# [193 37 160 ... 0 817 997]]
# --------------------
# [[2 7 4]
# [4 7 2]]
# --------------------
# [[ 4 7 2 ... 1 0 1]
# [ 4 7 2 ... 2 0 22]
# [ 4 7 2 ... 2 0 24]
# ...
# [ 4 7 2 ... 2 999 956]
# [ 4 7 2 ... 2 999 970]
# [ 2 7 4 ... 0 999 987]]
# --------------------