def RGB2HEX(color): 
return "#{:02x}{:02x}{:02x}".format(int(color[0]), int(color[1]), int(color[2])) 
 
def get_image(image_path): 
image = cv2.imread(image_path) 
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) 
return image 
 
IMAGE_DIRECTORY = 'C:/Users/Dell/Desktop/CPS 02' 
COLORS = { 
    'GREEN': [0, 128, 0], 
    'BLUE': [0, 0, 128], 
    'YELLOW': [255, 255, 0] 
} 
images = [] 
 
for file in os.listdir(IMAGE_DIRECTORY): 
    if not file.startswith('.'): 
        images.append(get_image(os.path.join(IMAGE_DIRECTORY, file))) 
 
# extracting colors from image  
def get_colors(images, number_of_colors, show_char = True): 
for j in range(len(images)): 
    modified_image = cv2.resize(images[j], (600, 400), interpolation = cv2.INTER_AREA) 
    modified_image = modified_image.reshape(modified_image.shape[0]*modified_image.shape[1],1) 
 
    clf = KMeans(n_clusters = number_of_colors) 
    labels = clf.fit_predict(modified_image) 
 
    counts = Counter(labels) 
 
    center_colors = clf.cluster_centers_ 
    # We get ordered colors by iterating through the keys 
    ordered_colors = [center_colors[i] for i in counts.keys()] 
    hex_colors = [RGB2HEX(ordered_colors[i]) for i in counts.keys()] 
    rgb_colors = [ordered_colors[i] for i in counts.keys()] 
 
# matching an image by its color 
def match_image_by_color(image, color, threshold = 60, number_of_colors = 10):  
 
image_colors = get_colors(image, number_of_colors, False) 
selected_color = rgb2lab(np.uint8(np.asarray([[color]]))) 
 
select_image = False 
for i in range(number_of_colors): 
    curr_color = rgb2lab(np.uint8(np.asarray([[image_colors[i]]]))) 
    diff = deltaE_cie76(selected_color, curr_color) 
    if (diff < threshold): 
        select_image = True 
 
return select_image 
 
# Selecting an image 
def show_selected_images(images, color, threshold, colors_to_match): 
index = 1 
 
for i in range(len(images)): 
    selected = match_image_by_color(images[i], color, threshold, colors_to_match) 
    if (selected): 
        plt.subplot(1, 5, index) 
        plt.imshow(images[i]) 
        index += 1 
 
# printing the result  
plt.figure(figsize = (20, 10)) 
show_selected_images(images, COLORS['BLUE'], 60, 5) 
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