recolorStrictTransfer.py

from skimage.color import rgb2lab, deltaE_cie76
import numpy as np
import cv2
from sklearn.cluster import MiniBatchKMeans

def quantize_global(image, k):
  k_means = MiniBatchKMeans(n_clusters=k, compute_labels=False, n_init=1)
  k_means.fit(image.reshape(-1, 1))
  labels = k_means.predict(image.reshape(-1, 1))
  return np.uint8(k_means.cluster_centers_[labels]).reshape(image.shape)

def color_transfer(image, old_colors_hex, new_colors_hex):
    # Load the image
    # image = cv2.imread(image_path)
    # Convert from BGR to RGB
    # image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

    # Convert image to LAB color space for more accurate color comparison
    image_array = np.asarray(image)
    image_quantized = quantize_global(image_array, 16)
    image_np = np.array(image_quantized)
    image_lab = rgb2lab(image_np)
    # image_lab = cv2.cvtColor(image, cv2.COLOR_RGB2LAB)

    # Convert old and new colors to LAB for comparison
    old_colors_lab = [rgb2lab(np.uint8(np.asarray([[list(int(old_color_hex.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))]]))) for old_color_hex in old_colors_hex]
    new_colors_rgb = [np.uint8(list(int(new_color_hex.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))) for new_color_hex in new_colors_hex]

    # Create a copy of the image to recolor
    recolored_image = image.copy()

    # Define a tolerance for color matching
    tolerance = 15.0  # Delta E value

    # For each old color, find the pixels that match and replace them with the new color
    for old_color_lab, new_color_rgb in zip(old_colors_lab, new_colors_rgb):
        # Create a mask for pixels matching the old color within the tolerance
        mask = deltaE_cie76(old_color_lab, image_lab) < tolerance
        # Replace the colors in the image
        recolored_image[mask] = new_color_rgb

    # return recolored_image

    # Convert the recolored image back to BGR color space
    recolored_image_bgr = cv2.cvtColor(recolored_image, cv2.COLOR_RGB2BGR)
    # Save the recolored image
    # recolored_image_path = '/content/recolored_image.png'
    cv2.imwrite('result.jpg', recolored_image_bgr)
    

    # return recolored_image_path

def recolor(image_np, old_colors, new_colors):
    image_np = image_np[:, :, :3]
    recolored = color_transfer(image_np, old_colors, new_colors)
    return recolored