adding basic image processing tools

imageprocessing/clip_object_recognition.py

@@ -0,0 +1,167 @@
+###
+# take a file containing image filepaths and return a file also containing detected objects
+# 
+
+# the input csv file must contain an 'image_file' column containing all the image filepaths
+# #
+
+
+import os
+import clip
+import torch
+
+import pandas as pd
+from PIL import Image
+from torchvision.datasets import CIFAR100
+from tqdm import tqdm
+
+# this dataset gives us the object classes
+cifar100 = CIFAR100(root=os.path.expanduser("~/.cache"), download=True, train=False)
+
+def save_checkpoint(checkpoint_path,df,  object_list):
+    output_df = df.copy()
+    output_df['clip_recognized_objects'] = object_list
+    output_df.to_csv(checkpoint_path,
+        index= False, # don't write a new 'Index' column
+    )
+    print("Saved checkpoint!")
+
+def load_checkpoint(checkpoint_path):
+    try:
+        print("reading checkpoint at ", checkpoint_path)
+        df = pd.read_csv(checkpoint_path)
+        
+        cached_objects = {
+            row['image_file']: row['clip_recognized_objects']
+            for _, row in df.iterrows()
+        }
+        print(f"Checkpoint loaded succesfully to cache: {len(cached_objects)} processed files")
+        return cached_objects
+    except:
+        print("Checkpoint was not loaded")
+        return cached_objects_dict
+
+def get_checkpoint_path(output_path):
+    #checkpoint_path = "checkpoint" + os.path.basename(output_path)
+    #checkpoint_path = os.path.join( os.path.dirname(output_path), checkpoint_path)
+    #return checkpoint_path
+    return output_path
+
+
+
+cached_objects_dict = {} # to avoid recomputing
+
+def get_objects(filepath, model, preprocess, device, cached_objects_dict):
+    objects = cached_objects_dict.get(filepath)
+    if objects is None:
+        objects = get_objects_in_image(filepath, model, preprocess, device)
+        cached_objects_dict[filepath] = objects
+    return objects
+
+def get_objects_in_image(image_filepath, model, preprocess, device):
+    
+    
+    # Prepare the inputs
+    image = Image.open(image_filepath).resize((600,600))
+    image_input = preprocess(image).unsqueeze(0).to(device)
+    text_inputs = torch.cat([clip.tokenize(f"a photo of a {c}") for c in cifar100.classes]).to(device)
+
+    # Calculate features
+    with torch.no_grad():
+        image_features = model.encode_image(image_input)
+        text_features = model.encode_text(text_inputs)
+    
+    # Pick the top 5 most similar labels for the image
+    image_features /= image_features.norm(dim=-1, keepdim=True)
+    text_features /= text_features.norm(dim=-1, keepdim=True)
+    similarity = (100.0 * image_features @ text_features.T).softmax(dim=-1)
+    values, indices = similarity[0].topk(5)
+
+
+    # Append the the result
+    #print("\nTop predictions:\n")
+    objects = []
+    for value, index in zip(values, indices):
+        objects.append((cifar100.classes[index], value.item()))
+    #    print(f"{cifar100.classes[index]:>16s}: {100 * value.item():.2f}%")
+    return objects
+    
+    
+    
+def clip_object_detection(input_csv, output_csv):
+    
+    checkpoint_path = get_checkpoint_path(output_csv)
+    cached_objects_dict = load_checkpoint(checkpoint_path)
+
+
+    # Load the model
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    model, preprocess = clip.load('ViT-B/32', device)
+    text_inputs = torch.cat([clip.tokenize(f"a photo of a {c}") for c in cifar100.classes]).to(device)
+
+    recognized_objects_per_image = []
+    processed_files = set(cached_objects_dict.keys())
+    
+    df = pd.read_csv(input_csv)
+
+    iterable_list = list(enumerate( df['image_file']))
+    for elem in tqdm(iterable_list):
+        idx = elem[0]
+        filepath = elem[1]
+
+        #save checkpoint every 50 files
+        if (not (len(processed_files) % 49) 
+            ): 
+            print(f"Images processed: {len(processed_files)}")
+            save_checkpoint(checkpoint_path, df.iloc[:idx], recognized_objects_per_image)
+
+        objects = get_objects(
+            filepath, model, preprocess, device,
+            cached_objects_dict
+        )
+        recognized_objects_per_image.append(objects)
+        processed_files.add(filepath)
+
+    recognized_objects_per_image = pd.Series(recognized_objects_per_image)
+
+    return recognized_objects_per_image
+
+
+
+
+import argparse
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser(prog="CLIP object recognition",
+                                     description='Recognizes the top 5 main objects per image in an image list')
+    
+    parser.add_argument("--input_csv", "-in", metavar='in', type=str, nargs=1,
+                        help='input file containing images-paths for object recognition.',
+                             #default=[default_painting_folder]
+                             )
+    parser.add_argument("--output_csv", "-out", metavar='out', type=str, nargs=1,
+                        help='output file containing images-paths + recognized objects'
+                        #default=[default_interpretation_folder]
+                         )
+    args = parser.parse_args()
+    input_csv_file = args.input_csv[0]
+    output_csv_file = args.output_csv[0]
+
+    print(">>> input file: " , input_csv_file)
+    print(">>> output file: ", output_csv_file)
+
+
+    # perform object recognition
+    recognized_objects_per_image = clip_object_detection(input_csv_file, output_csv_file)
+    
+    # add a column with the recognized objects
+    output_df = pd.read_csv(input_csv_file)
+    output_df['clip_recognized_objects'] = recognized_objects_per_image
+    output_df.to_csv(output_csv_file,
+        index= False, # don't write a new 'Index' column
+    )
+
+
+

imageprocessing/color_detection.py

@@ -0,0 +1,1897 @@
+#  Copyright (c) 2022. Bart Lamiroy (Bart.Lamiroy@univ-reims.fr) and subsequent contributors
+#  as per git commit history. All rights reserved.
+#
+#  La Muse, Leveraging Artificial Intelligence for Sparking Inspiration
+#  https://hal.archives-ouvertes.fr/hal-03470467/
+#
+#  This code is licenced under the GNU LESSER GENERAL PUBLIC LICENSE
+#  Version 3, 29 June 2007
+
+# This code is an adaptation in Python on original JavaScript code by Chirag Mehta - http://chir.ag/projects/ntc       |
+# The original script is released under the: Creative Commons License: Attribution 2.5 http://creativecommons.org/licenses/by/2.5/
+import math
+
+# var n_match  = ntc.name("#6195ED");
+#    n_rgb        = n_match[0]; // This is the RGB value of the closest matching color
+#    n_name       = n_match[1]; // This is the text string for the name of the match
+#    n_exactmatch = n_match[2]; // True if exact color match, False if close-match
+#
+#    alert(n_match);
+
+static_names_old = [
+    ["000000", "Black"],
+    ["000080", "Navy Blue"],
+    ["0000C8", "Dark Blue"],
+    ["0000FF", "Blue"],
+    ["000741", "Stratos"],
+    ["001B1C", "Swamp"],
+    ["002387", "Resolution Blue"],
+    ["002900", "Deep Fir"],
+    ["002E20", "Burnham"],
+    ["002FA7", "International Klein Blue"],
+    ["003153", "Prussian Blue"],
+    ["003366", "Midnight Blue"],
+    ["003399", "Smalt"],
+    ["003532", "Deep Teal"],
+    ["003E40", "Cyprus"],
+    ["004620", "Kaitoke Green"],
+    ["0047AB", "Cobalt"],
+    ["004816", "Crusoe"],
+    ["004950", "Sherpa Blue"],
+    #["0056A7", "Endeavour"],
+    ["00581A", "Camarone"],
+    ["0066CC", "Science Blue"],
+    ["0066FF", "Blue Ribbon"],
+    ["00755E", "Tropical Rain Forest"],
+    #["0076A3", "Allports"],
+    ["007BA7", "Deep Cerulean"],
+    ["007EC7", "Lochmara"],
+    ["007FFF", "Azure Radiance"],
+    ["008080", "Teal"],
+    ["0095B6", "Bondi Blue"],
+    ["009DC4", "Pacific Blue"],
+    ["00A693", "Persian Green"],
+    ["00A86B", "Jade"],
+    ["00CC99", "Caribbean Green"],
+    ["00CCCC", "Robin's Egg Blue"],
+    ["00FF00", "Green"],
+    ["00FF7F", "Spring Green"],
+    ["00FFFF", "Cyan / Aqua"],
+    ["010D1A", "Blue Charcoal"],
+    ["011635", "Midnight"],
+    ["011D13", "Holly"],
+    ["012731", "Daintree"],
+    ["01361C", "Cardin Green"],
+    ["01371A", "County Green"],
+    ["013E62", "Astronaut Blue"],
+    ["013F6A", "Regal Blue"],
+    ["014B43", "Aqua Deep"],
+    ["015E85", "Orient"],
+    ["016162", "Blue Stone"],
+    ["016D39", "Fun Green"],
+    ["01796F", "Pine Green"],
+    ["017987", "Blue Lagoon"],
+    ["01826B", "Deep Sea"],
+    ["01A368", "Green Haze"],
+    ["022D15", "English Holly"],
+    ["02402C", "Sherwood Green"],
+    ["02478E", "Congress Blue"],
+    ["024E46", "Evening Sea"],
+    ["026395", "Bahama Blue"],
+    #["02866F", "Observatory"],
+    ["02A4D3", "Cerulean"],
+    ["03163C", "Tangaroa"],
+    ["032B52", "Green Vogue"],
+    #["036A6E", "Mosque"],
+    ["041004", "Midnight Moss"],
+    ["041322", "Black Pearl"],
+    ["042E4C", "Blue Whale"],
+    ["044022", "Zuccini"],
+    ["044259", "Teal Blue"],
+    ["051040", "Deep Cove"],
+    ["051657", "Gulf Blue"],
+    ["055989", "Venice Blue"],
+    ["056F57", "Watercourse"],
+    ["062A78", "Catalina Blue"],
+    ["063537", "Tiber"],
+    ["069B81", "Gossamer"],
+    ["06A189", "Niagara"],
+    ["073A50", "Tarawera"],
+    ["080110", "Jaguar"],
+    ["081910", "Black Bean"],
+    ["082567", "Deep Sapphire"],
+    ["088370", "Elf Green"],
+    ["08E8DE", "Bright Turquoise"],
+    ["092256", "Downriver"],
+    ["09230F", "Palm Green"],
+    #["09255D", "Madison"],
+    ["093624", "Bottle Green"],
+    ["095859", "Deep Sea Green"],
+    #["097F4B", "Salem"],
+    ["0A001C", "Black Russian"],
+    ["0A480D", "Dark Fern"],
+    ["0A6906", "Japanese Laurel"],
+    ["0A6F75", "Atoll"],
+    ["0B0B0B", "Cod Gray"],
+    ["0B0F08", "Marshland"],
+    ["0B1107", "Gordons Green"],
+    ["0B1304", "Black Forest"],
+    #["0B6207", "San Felix"],
+    ["0BDA51", "Malachite"],
+    ["0C0B1D", "Ebony"],
+    ["0C0D0F", "Woodsmoke"],
+    ["0C1911", "Racing Green"],
+    ["0C7A79", "Surfie Green"],
+    ["0C8990", "Blue Chill"],
+    ["0D0332", "Black Rock"],
+    ["0D1117", "Bunker"],
+    ["0D1C19", "Aztec"],
+    ["0D2E1C", "Bush"],
+    ["0E0E18", "Cinder"],
+    ["0E2A30", "Firefly"],
+    ["0F2D9E", "Torea Bay"],
+    ["10121D", "Vulcan"],
+    ["101405", "Green Waterloo"],
+    ["105852", "Eden"],
+    ["110C6C", "Arapawa"],
+    ["120A8F", "Ultramarine"],
+    ["123447", "Elephant"],
+    ["126B40", "Jewel"],
+    ["130000", "Diesel"],
+    ["130A06", "Asphalt"],
+    ["13264D", "Blue Zodiac"],
+    ["134F19", "Parsley"],
+    ["140600", "Nero"],
+    ["1450AA", "Tory Blue"],
+    #["151F4C", "Bunting"],
+    ["1560BD", "Denim"],
+    #["15736B", "Genoa"],
+    ["161928", "Mirage"],
+    ["161D10", "Hunter Green"],
+    ["162A40", "Big Stone"],
+    ["163222", "Celtic"],
+    ["16322C", "Timber Green"],
+    ["163531", "Gable Green"],
+    ["171F04", "Pine Tree"],
+    ["175579", "Chathams Blue"],
+    ["182D09", "Deep Forest Green"],
+    ["18587A", "Blumine"],
+    ["19330E", "Palm Leaf"],
+    ["193751", "Nile Blue"],
+    ["1959A8", "Fun Blue"],
+    ["1A1A68", "Lucky Point"],
+    ["1AB385", "Mountain Meadow"],
+    ["1B0245", "Tolopea"],
+    #["1B1035", "Haiti"],
+    ["1B127B", "Deep Koamaru"],
+    ["1B1404", "Acadia"],
+    ["1B2F11", "Seaweed"],
+    ["1B3162", "Biscay"],
+    #["1B659D", "Matisse"],
+    ["1C1208", "Crowshead"],
+    ["1C1E13", "Rangoon Green"],
+    ["1C39BB", "Persian Blue"],
+    ["1C402E", "Everglade"],
+    ["1C7C7D", "Elm"],
+    ["1D6142", "Green Pea"],
+    #["1E0F04", "Creole"],
+    ["1E1609", "Karaka"],
+    #["1E1708", "El Paso"],
+    ["1E385B", "Cello"],
+    ["1E433C", "Te Papa Green"],
+    ["1E90FF", "Dodger Blue"],
+    ["1E9AB0", "Eastern Blue"],
+    ["1F120F", "Night Rider"],
+    ["1FC2C2", "Java"],
+    ["20208D", "Jacksons Purple"],
+    ["202E54", "Cloud Burst"],
+    ["204852", "Blue Dianne"],
+    ["211A0E", "Eternity"],
+    ["220878", "Deep Blue"],
+    ["228B22", "Forest Green"],
+    ["233418", "Mallard"],
+    ["240A40", "Violet"],
+    #["240C02", "Kilamanjaro"],
+    ["242A1D", "Log Cabin"],
+    ["242E16", "Black Olive"],
+    ["24500F", "Green House"],
+    ["251607", "Graphite"],
+    ["251706", "Cannon Black"],
+    #["251F4F", "Port Gore"],
+    ["25272C", "Shark"],
+    ["25311C", "Green Kelp"],
+    ["2596D1", "Curious Blue"],
+    ["260368", "Paua"],
+    #["26056A", "Paris M"],
+    ["261105", "Wood Bark"],
+    #["261414", "Gondola"],
+    ["262335", "Steel Gray"],
+    ["26283B", "Ebony Clay"],
+    #["273A81", "Bay of Many"],
+    #["27504B", "Plantation"],
+    ["278A5B", "Eucalyptus"],
+    ["281E15", "Oil"],
+    ["283A77", "Astronaut"],
+    ["286ACD", "Mariner"],
+    ["290C5E", "Violent Violet"],
+    #["292130", "Bastille"],
+    #["292319", "Zeus"],
+    ["292937", "Charade"],
+    ["297B9A", "Jelly Bean"],
+    ["29AB87", "Jungle Green"],
+    ["2A0359", "Cherry Pie"],
+    ["2A140E", "Coffee Bean"],
+    ["2A2630", "Baltic Sea"],
+    ["2A380B", "Turtle Green"],
+    ["2A52BE", "Cerulean Blue"],
+    ["2B0202", "Sepia Black"],
+    ["2B194F", "Valhalla"],
+    ["2B3228", "Heavy Metal"],
+    ["2C0E8C", "Blue Gem"],
+    ["2C1632", "Revolver"],
+    ["2C2133", "Bleached Cedar"],
+    ["2C8C84", "Lochinvar"],
+    ["2D2510", "Mikado"],
+    ["2D383A", "Outer Space"],
+    ["2D569B", "St Tropaz"],
+    ["2E0329", "Jacaranda"],
+    ["2E1905", "Jacko Bean"],
+    ["2E3222", "Rangitoto"],
+    ["2E3F62", "Rhino"],
+    ["2E8B57", "Sea Green"],
+    #["2EBFD4", "Scooter"],
+    ["2F270E", "Onion"],
+    #["2F3CB3", "Governor Bay"],
+    ["2F519E", "Sapphire"],
+    ["2F5A57", "Spectra"],
+    ["2F6168", "Casal"],
+    ["300529", "Melanzane"],
+    ["301F1E", "Cocoa Brown"],
+    ["302A0F", "Woodrush"],
+    #["304B6A", "San Juan"],
+    ["30D5C8", "Turquoise"],
+    ["311C17", "Eclipse"],
+    ["314459", "Pickled Bluewood"],
+    ["315BA1", "Azure"],
+    ["31728D", "Calypso"],
+    ["317D82", "Paradiso"],
+    ["32127A", "Persian Indigo"],
+    ["32293A", "Blackcurrant"],
+    ["323232", "Mine Shaft"],
+    #["325D52", "Stromboli"],
+    ["327C14", "Bilbao"],
+    ["327DA0", "Astral"],
+    ["33036B", "Christalle"],
+    ["33292F", "Thunder"],
+    ["33CC99", "Shamrock"],
+    ["341515", "Tamarind"],
+    #["350036", "Mardi Gras"],
+    ["350E42", "Valentino"],
+    ["350E57", "Jagger"],
+    ["353542", "Tuna"],
+    ["354E8C", "Chambray"],
+    #["363050", "Martinique"],
+    #["363534", "Tuatara"],
+    #["363C0D", "Waiouru"],
+    #["36747D", "Ming"],
+    ["368716", "La Palma"],
+    ["370202", "Chocolate"],
+    #["371D09", "Clinker"],
+    ["37290E", "Brown Tumbleweed"],
+    ["373021", "Birch"],
+    ["377475", "Oracle"],
+    ["380474", "Blue Diamond"],
+    ["381A51", "Grape"],
+    ["383533", "Dune"],
+    ["384555", "Oxford Blue"],
+    ["384910", "Clover"],
+    ["394851", "Limed Spruce"],
+    #["396413", "Dell"],
+    #["3A0020", "Toledo"],
+    ["3A2010", "Sambuca"],
+    ["3A2A6A", "Jacarta"],
+    #["3A686C", "William"],
+    #["3A6A47", "Killarney"],
+    #["3AB09E", "Keppel"],
+    #["3B000B", "Temptress"],
+    ["3B0910", "Aubergine"],
+    #["3B1F1F", "Jon"],
+    ["3B2820", "Treehouse"],
+    ["3B7A57", "Amazon"],
+    ["3B91B4", "Boston Blue"],
+    ["3C0878", "Windsor"],
+    ["3C1206", "Rebel"],
+    ["3C1F76", "Meteorite"],
+    ["3C2005", "Dark Ebony"],
+    ["3C3910", "Camouflage"],
+    ["3C4151", "Bright Gray"],
+    ["3C4443", "Cape Cod"],
+    ["3C493A", "Lunar Green"],
+    ["3D0C02", "Bean  "],
+    ["3D2B1F", "Bistre"],
+    ["3D7D52", "Goblin"],
+    ["3E0480", "Kingfisher Daisy"],
+    ["3E1C14", "Cedar"],
+    ["3E2B23", "English Walnut"],
+    ["3E2C1C", "Black Marlin"],
+    ["3E3A44", "Ship Gray"],
+    ["3EABBF", "Pelorous"],
+    ["3F2109", "Bronze"],
+    ["3F2500", "Cola"],
+    ["3F3002", "Madras"],
+    ["3F307F", "Minsk"],
+    ["3F4C3A", "Cabbage Pont"],
+    #["3F583B", "Tom Thumb"],
+    ["3F5D53", "Mineral Green"],
+    #["3FC1AA", "Puerto Rico"],
+    ["3FFF00", "Harlequin"],
+    ["401801", "Brown Pod"],
+    ["40291D", "Cork"],
+    ["403B38", "Masala"],
+    ["403D19", "Thatch Green"],
+    ["405169", "Fiord"],
+    ["40826D", "Viridian"],
+    ["40A860", "Chateau Green"],
+    ["410056", "Ripe Plum"],
+    ["411F10", "Paco"],
+    ["412010", "Deep Oak"],
+    ["413C37", "Merlin"],
+    ["414257", "Gun Powder"],
+    ["414C7D", "East Bay"],
+    ["4169E1", "Royal Blue"],
+    ["41AA78", "Ocean Green"],
+    ["420303", "Burnt Maroon"],
+    ["423921", "Lisbon Brown"],
+    ["427977", "Faded Jade"],
+    ["431560", "Scarlet Gum"],
+    #["433120", "Iroko"],
+    ["433E37", "Armadillo"],
+    ["434C59", "River Bed"],
+    ["436A0D", "Green Leaf"],
+    ["44012D", "Barossa"],
+    ["441D00", "Morocco Brown"],
+    #["444954", "Mako"],
+    ["454936", "Kelp"],
+    #["456CAC", "San Marino"],
+    ["45B1E8", "Picton Blue"],
+    #["460B41", "Loulou"],
+    ["462425", "Crater Brown"],
+    ["465945", "Gray Asparagus"],
+    ["4682B4", "Steel Blue"],
+    ["480404", "Rustic Red"],
+    ["480607", "Bulgarian Rose"],
+    #["480656", "Clairvoyant"],
+    ["481C1C", "Cocoa Bean"],
+    ["483131", "Woody Brown"],
+    ["483C32", "Taupe"],
+    #["49170C", "Van Cleef"],
+    ["492615", "Brown Derby"],
+    ["49371B", "Metallic Bronze"],
+    ["495400", "Verdun Green"],
+    ["496679", "Blue Bayoux"],
+    ["497183", "Bismark"],
+    ["4A2A04", "Bracken"],
+    ["4A3004", "Deep Bronze"],
+    ["4A3C30", "Mondo"],
+    ["4A4244", "Tundora"],
+    ["4A444B", "Gravel"],
+    ["4A4E5A", "Trout"],
+    ["4B0082", "Pigment Indigo"],
+    ["4B5D52", "Nandor"],
+    ["4C3024", "Saddle"],
+    ["4C4F56", "Abbey"],
+    ["4D0135", "Blackberry"],
+    ["4D0A18", "Cab Sav"],
+    #["4D1E01", "Indian Tan"],
+    ["4D282D", "Cowboy"],
+    ["4D282E", "Livid Brown"],
+    #["4D3833", "Rock"],
+    #["4D3D14", "Punga"],
+    ["4D400F", "Bronzetone"],
+    ["4D5328", "Woodland"],
+    ["4E0606", "Mahogany"],
+    ["4E2A5A", "Bossanova"],
+    ["4E3B41", "Matterhorn"],
+    ["4E420C", "Bronze Olive"],
+    ["4E4562", "Mulled Wine"],
+    #["4E6649", "Axolotl"],
+    ["4E7F9E", "Wedgewood"],
+    #["4EABD1", "Shakespeare"],
+    ["4F1C70", "Honey Flower"],
+    ["4F2398", "Daisy Bush"],
+    ["4F69C6", "Indigo"],
+    ["4F7942", "Fern Green"],
+    ["4F9D5D", "Fruit Salad"],
+    ["4FA83D", "Apple"],
+    ["504351", "Mortar"],
+    ["507096", "Kashmir Blue"],
+    #["507672", "Cutty Sark"],
+    ["50C878", "Emerald"],
+    ["514649", "Emperor"],
+    ["516E3D", "Chalet Green"],
+    #["517C66", "Como"],
+    ["51808F", "Smalt Blue"],
+    #["52001F", "Castro"],
+    ["520C17", "Maroon Oak"],
+    #["523C94", "Gigas"],
+    ["533455", "Voodoo"],
+    ["534491", "Victoria"],
+    ["53824B", "Hippie Green"],
+    ["541012", "Heath"],
+    ["544333", "Judge Gray"],
+    ["54534D", "Fuscous Gray"],
+    #["549019", "Vida Loca"],
+    ["55280C", "Cioccolato"],
+    ["555B10", "Saratoga"],
+    #["556D56", "Finlandia"],
+    ["5590D9", "Havelock Blue"],
+    ["56B4BE", "Fountain Blue"],
+    ["578363", "Spring Leaves"],
+    ["583401", "Saddle Brown"],
+    ["585562", "Scarpa Flow"],
+    ["587156", "Cactus"],
+    ["589AAF", "Hippie Blue"],
+    ["591D35", "Wine Berry"],
+    ["592804", "Brown Bramble"],
+    ["593737", "Congo Brown"],
+    #["594433", "Millbrook"],
+    ["5A6E9C", "Waikawa Gray"],
+    ["5A87A0", "Horizon"],
+    #["5B3013", "Jambalaya"],
+    ["5C0120", "Bordeaux"],
+    ["5C0536", "Mulberry Wood"],
+    ["5C2E01", "Carnaby Tan"],
+    ["5C5D75", "Comet"],
+    ["5D1E0F", "Redwood"],
+    #["5D4C51", "Don Juan"],
+    #["5D5C58", "Chicago"],
+    ["5D5E37", "Verdigris"],
+    #["5D7747", "Dingley"],
+    ["5DA19F", "Breaker Bay"],
+    #["5E483E", "Kabul"],
+    #["5E5D3B", "Hemlock"],
+    ["5F3D26", "Irish Coffee"],
+    ["5F5F6E", "Mid Gray"],
+    ["5F6672", "Shuttle Gray"],
+    ["5FA777", "Aqua Forest"],
+    #["5FB3AC", "Tradewind"],
+    ["604913", "Horses Neck"],
+    ["605B73", "Smoky"],
+    ["606E68", "Corduroy"],
+    ["6093D1", "Danube"],
+    ["612718", "Espresso"],
+    ["614051", "Eggplant"],
+    #["615D30", "Costa Del Sol"],
+    ["61845F", "Glade Green"],
+    #["622F30", "Buccaneer"],
+    #["623F2D", "Quincy"],
+    ["624E9A", "Butterfly Bush"],
+    ["625119", "West Coast"],
+    ["626649", "Finch"],
+    ["639A8F", "Patina"],
+    ["63B76C", "Fern"],
+    ["6456B7", "Blue Violet"],
+    ["646077", "Dolphin"],
+    ["646463", "Storm Dust"],
+    ["646A54", "Siam"],
+    #["646E75", "Nevada"],
+    ["6495ED", "Cornflower Blue"],
+    #["64CCDB", "Viking"],
+    ["65000B", "Rosewood"],
+    ["651A14", "Cherrywood"],
+    ["652DC1", "Purple Heart"],
+    ["657220", "Fern Frond"],
+    ["65745D", "Willow Grove"],
+    #["65869F", "Hoki"],
+    #["660045", "Pompadour"],
+    ["660099", "Purple"],
+    ["66023C", "Tyrian Purple"],
+    ["661010", "Dark Tan"],
+    ["66B58F", "Silver Tree"],
+    ["66FF00", "Bright Green"],
+    ["66FF66", "Screamin' Green"],
+    ["67032D", "Black Rose"],
+    #["675FA6", "Scampi"],
+    ["676662", "Ironside Gray"],
+    ["678975", "Viridian Green"],
+    #["67A712", "Christi"],
+    ["683600", "Nutmeg Wood Finish"],
+    #["685558", "Zambezi"],
+    ["685E6E", "Salt Box"],
+    #["692545", "Tawny Port"],
+    #["692D54", "Finn"],
+    ["695F62", "Scorpion"],
+    #["697E9A", "Lynch"],
+    ["6A442E", "Spice"],
+    ["6A5D1B", "Himalaya"],
+    ["6A6051", "Soya Bean"],
+    #["6B2A14", "Hairy Heath"],
+    ["6B3FA0", "Royal Purple"],
+    #["6B4E31", "Shingle Fawn"],
+    #["6B5755", "Dorado"],
+    ["6B8BA2", "Bermuda Gray"],
+    ["6B8E23", "Olive Drab"],
+    #["6C3082", "Eminence"],
+    ["6CDAE7", "Turquoise Blue"],
+    ["6D0101", "Lonestar"],
+    ["6D5E54", "Pine Cone"],
+    ["6D6C6C", "Dove Gray"],
+    ["6D9292", "Juniper"],
+    ["6D92A1", "Gothic"],
+    ["6E0902", "Red Oxide"],
+    ["6E1D14", "Moccaccino"],
+    ["6E4826", "Pickled Bean"],
+    #["6E4B26", "Dallas"],
+    #["6E6D57", "Kokoda"],
+    ["6E7783", "Pale Sky"],
+    ["6F440C", "Cafe Royale"],
+    #["6F6A61", "Flint"],
+    ["6F8E63", "Highland"],
+    ["6F9D02", "Limeade"],
+    #["6FD0C5", "Downy"],
+    ["701C1C", "Persian Plum"],
+    ["704214", "Sepia"],
+    ["704A07", "Antique Bronze"],
+    ["704F50", "Ferra"],
+    ["706555", "Coffee"],
+    ["708090", "Slate Gray"],
+    ["711A00", "Cedar Wood Finish"],
+    ["71291D", "Metallic Copper"],
+    #["714693", "Affair"],
+    #["714AB2", "Studio"],
+    ["715D47", "Tobacco Brown"],
+    ["716338", "Yellow Metal"],
+    ["716B56", "Peat"],
+    ["716E10", "Olivetone"],
+    ["717486", "Storm Gray"],
+    ["718080", "Sirocco"],
+    ["71D9E2", "Aquamarine Blue"],
+    ["72010F", "Venetian Red"],
+    ["724A2F", "Old Copper"],
+    #["726D4E", "Go Ben"],
+    ["727B89", "Raven"],
+    ["731E8F", "Seance"],
+    ["734A12", "Raw Umber"],
+    #["736C9F", "Kimberly"],
+    ["736D58", "Crocodile"],
+    ["737829", "Crete"],
+    #["738678", "Xanadu"],
+    ["74640D", "Spicy Mustard"],
+    ["747D63", "Limed Ash"],
+    ["747D83", "Rolling Stone"],
+    ["748881", "Blue Smoke"],
+    #["749378", "Laurel"],
+    ["74C365", "Mantis"],
+    ["755A57", "Russett"],
+    #["7563A8", "Deluge"],
+    ["76395D", "Cosmic"],
+    ["7666C6", "Blue Marguerite"],
+    #["76BD17", "Lima"],
+    ["76D7EA", "Sky Blue"],
+    ["770F05", "Dark Burgundy"],
+    #["771F1F", "Crown of Thorns"],
+    ["773F1A", "Walnut"],
+    #["776F61", "Pablo"],
+    ["778120", "Pacifika"],
+    ["779E86", "Oxley"],
+    ["77DD77", "Pastel Green"],
+    ["780109", "Japanese Maple"],
+    ["782D19", "Mocha"],
+    ["782F16", "Peanut"],
+    ["78866B", "Camouflage Green"],
+    ["788A25", "Wasabi"],
+    ["788BBA", "Ship Cove"],
+    ["78A39C", "Sea Nymph"],
+    ["795D4C", "Roman Coffee"],
+    ["796878", "Old Lavender"],
+    ["796989", "Rum"],
+    ["796A78", "Fedora"],
+    ["796D62", "Sandstone"],
+    ["79DEEC", "Spray"],
+    ["7A013A", "Siren"],
+    ["7A58C1", "Fuchsia Blue"],
+    ["7A7A7A", "Boulder"],
+    ["7A89B8", "Wild Blue Yonder"],
+    #["7AC488", "De York"],
+    ["7B3801", "Red Beech"],
+    ["7B3F00", "Cinnamon"],
+    ["7B6608", "Yukon Gold"],
+    #["7B7874", "Tapa"],
+    #["7B7C94", "Waterloo "],
+    ["7B8265", "Flax Smoke"],
+    ["7B9F80", "Amulet"],
+    ["7BA05B", "Asparagus"],
+    ["7C1C05", "Kenyan Copper"],
+    ["7C7631", "Pesto"],
+    ["7C778A", "Topaz"],
+    ["7C7B7A", "Concord"],
+    ["7C7B82", "Jumbo"],
+    ["7C881A", "Trendy Green"],
+    #["7CA1A6", "Gumbo"],
+    ["7CB0A1", "Acapulco"],
+    ["7CB7BB", "Neptune"],
+    ["7D2C14", "Pueblo"],
+    ["7DA98D", "Bay Leaf"],
+    ["7DC8F7", "Malibu"],
+    ["7DD8C6", "Bermuda"],
+    ["7E3A15", "Copper Canyon"],
+    #["7F1734", "Claret"],
+    ["7F3A02", "Peru Tan"],
+    ["7F626D", "Falcon"],
+    ["7F7589", "Mobster"],
+    ["7F76D3", "Moody Blue"],
+    ["7FFF00", "Chartreuse"],
+    ["7FFFD4", "Aquamarine"],
+    ["800000", "Maroon"],
+    ["800B47", "Rose Bud Cherry"],
+    ["801818", "Falu Red"],
+    ["80341F", "Red Robin"],
+    ["803790", "Vivid Violet"],
+    ["80461B", "Russet"],
+    ["807E79", "Friar Gray"],
+    ["808000", "Olive"],
+    ["808080", "Gray"],
+    ["80B3AE", "Gulf Stream"],
+    ["80B3C4", "Glacier"],
+    ["80CCEA", "Seagull"],
+    ["81422C", "Nutmeg"],
+    ["816E71", "Spicy Pink"],
+    ["817377", "Empress"],
+    ["819885", "Spanish Green"],
+    ["826F65", "Sand Dune"],
+    ["828685", "Gunsmoke"],
+    ["828F72", "Battleship Gray"],
+    ["831923", "Merlot"],
+    ["837050", "Shadow"],
+    ["83AA5D", "Chelsea Cucumber"],
+    #["83D0C6", "Monte Carlo"],
+    ["843179", "Plum"],
+    ["84A0A0", "Granny Smith"],
+    ["8581D9", "Chetwode Blue"],
+    #["858470", "Bandicoot"],
+    #["859FAF", "Bali Hai"],
+    #["85C4CC", "Half Baked"],
+    ["860111", "Red Devil"],
+    ["863C3C", "Lotus"],
+    ["86483C", "Ironstone"],
+    ["864D1E", "Bull Shot"],
+    ["86560A", "Rusty Nail"],
+    #["868974", "Bitter"],
+    ["86949F", "Regent Gray"],
+    ["871550", "Disco"],
+    ["87756E", "Americano"],
+    ["877C7B", "Hurricane"],
+    ["878D91", "Oslo Gray"],
+    #["87AB39", "Sushi"],
+    ["885342", "Spicy Mix"],
+    ["886221", "Kumera"],
+    ["888387", "Suva Gray"],
+    ["888D65", "Avocado"],
+    ["893456", "Camelot"],
+    ["893843", "Solid Pink"],
+    ["894367", "Cannon Pink"],
+    ["897D6D", "Makara"],
+    ["8A3324", "Burnt Umber"],
+    #["8A73D6", "True V"],
+    ["8A8360", "Clay Creek"],
+    ["8A8389", "Monsoon"],
+    #["8A8F8A", "Stack"],
+    ["8AB9F1", "Jordy Blue"],
+    ["8B00FF", "Electric Violet"],
+    ["8B0723", "Monarch"],
+    ["8B6B0B", "Corn Harvest"],
+    ["8B8470", "Olive Haze"],
+    #["8B847E", "Schooner"],
+    ["8B8680", "Natural Gray"],
+    ["8B9C90", "Mantle"],
+    #["8B9FEE", "Portage"],
+    #["8BA690", "Envy"],
+    ["8BA9A5", "Cascade"],
+    ["8BE6D8", "Riptide"],
+    ["8C055E", "Cardinal Pink"],
+    ["8C472F", "Mule Fawn"],
+    ["8C5738", "Potters Clay"],
+    ["8C6495", "Trendy Pink"],
+    ["8D0226", "Paprika"],
+    ["8D3D38", "Sanguine Brown"],
+    ["8D3F3F", "Tosca"],
+    ["8D7662", "Cement"],
+    ["8D8974", "Granite Green"],
+    ["8D90A1", "Manatee"],
+    ["8DA8CC", "Polo Blue"],
+    ["8E0000", "Red Berry"],
+    #["8E4D1E", "Rope"],
+    ["8E6F70", "Opium"],
+    #["8E775E", "Domino"],
+    ["8E8190", "Mamba"],
+    #["8EABC1", "Nepal"],
+    #["8F021C", "Pohutukawa"],
+    #["8F3E33", "El Salva"],
+    ["8F4B0E", "Korma"],
+    ["8F8176", "Squirrel"],
+    ["8FD6B4", "Vista Blue"],
+    ["900020", "Burgundy"],
+    ["901E1E", "Old Brick"],
+    ["907874", "Hemp"],
+    ["907B71", "Almond Frost"],
+    ["908D39", "Sycamore"],
+    ["92000A", "Sangria"],
+    ["924321", "Cumin"],
+    ["926F5B", "Beaver"],
+    ["928573", "Stonewall"],
+    ["928590", "Venus"],
+    ["9370DB", "Medium Purple"],
+    ["93CCEA", "Cornflower"],
+    ["93DFB8", "Algae Green"],
+    ["944747", "Copper Rust"],
+    ["948771", "Arrowtown"],
+    ["950015", "Scarlett"],
+    #["956387", "Strikemaster"],
+    ["959396", "Mountain Mist"],
+    ["960018", "Carmine"],
+    ["964B00", "Brown"],
+    ["967059", "Leather"],
+    ["9678B6", "Purple Mountain's Majesty"],
+    ["967BB6", "Lavender Purple"],
+    #["96A8A1", "Pewter"],
+    ["96BBAB", "Summer Green"],
+    #["97605D", "Au Chico"],
+    #["9771B5", "Wisteria"],
+    ["97CD2D", "Atlantis"],
+    ["983D61", "Vin Rouge"],
+    ["9874D3", "Lilac Bush"],
+    ["98777B", "Bazaar"],
+    #["98811B", "Hacienda"],
+    ["988D77", "Pale Oyster"],
+    ["98FF98", "Mint Green"],
+    ["990066", "Fresh Eggplant"],
+    ["991199", "Violet Eggplant"],
+    ["991613", "Tamarillo"],
+    #["991B07", "Totem Pole"],
+    ["996666", "Copper Rose"],
+    ["9966CC", "Amethyst"],
+    ["997A8D", "Mountbatten Pink"],
+    ["9999CC", "Blue Bell"],
+    ["9A3820", "Prairie Sand"],
+    ["9A6E61", "Toast"],
+    ["9A9577", "Gurkha"],
+    ["9AB973", "Olivine"],
+    ["9AC2B8", "Shadow Green"],
+    ["9B4703", "Oregon"],
+    ["9B9E8F", "Lemon Grass"],
+    ["9C3336", "Stiletto"],
+    ["9D5616", "Hawaiian Tan"],
+    ["9DACB7", "Gull Gray"],
+    ["9DC209", "Pistachio"],
+    ["9DE093", "Granny Smith Apple"],
+    ["9DE5FF", "Anakiwa"],
+    ["9E5302", "Chelsea Gem"],
+    ["9E5B40", "Sepia Skin"],
+    ["9EA587", "Sage"],
+    ["9EA91F", "Citron"],
+    ["9EB1CD", "Rock Blue"],
+    ["9EDEE0", "Morning Glory"],
+    ["9F381D", "Cognac"],
+    ["9F821C", "Reef Gold"],
+    ["9F9F9C", "Star Dust"],
+    ["9FA0B1", "Santas Gray"],
+    #["9FD7D3", "Sinbad"],
+    ["9FDD8C", "Feijoa"],
+    ["A02712", "Tabasco"],
+    ["A1750D", "Buttered Rum"],
+    ["A1ADB5", "Hit Gray"],
+    ["A1C50A", "Citrus"],
+    ["A1DAD7", "Aqua Island"],
+    ["A1E9DE", "Water Leaf"],
+    ["A2006D", "Flirt"],
+    ["A23B6C", "Rouge"],
+    ["A26645", "Cape Palliser"],
+    ["A2AAB3", "Gray Chateau"],
+    #["A2AEAB", "Edward"],
+    ["A3807B", "Pharlap"],
+    ["A397B4", "Amethyst Smoke"],
+    ["A3E3ED", "Blizzard Blue"],
+    ["A4A49D", "Delta"],
+    ["A4A6D3", "Wistful"],
+    ["A4AF6E", "Green Smoke"],
+    ["A50B5E", "Jazzberry Jam"],
+    ["A59B91", "Zorba"],
+    ["A5CB0C", "Bahia"],
+    ["A62F20", "Roof Terracotta"],
+    ["A65529", "Paarl"],
+    ["A68B5B", "Barley Corn"],
+    ["A69279", "Donkey Brown"],
+    ["A6A29A", "Dawn"],
+    ["A72525", "Mexican Red"],
+    ["A7882C", "Luxor Gold"],
+    ["A85307", "Rich Gold"],
+    ["A86515", "Reno Sand"],
+    ["A86B6B", "Coral Tree"],
+    ["A8989B", "Dusty Gray"],
+    ["A899E6", "Dull Lavender"],
+    ["A8A589", "Tallow"],
+    ["A8AE9C", "Bud"],
+    ["A8AF8E", "Locust"],
+    ["A8BD9F", "Norway"],
+    ["A8E3BD", "Chinook"],
+    ["A9A491", "Gray Olive"],
+    ["A9ACB6", "Aluminium"],
+    ["A9B2C3", "Cadet Blue"],
+    ["A9B497", "Schist"],
+    ["A9BDBF", "Tower Gray"],
+    ["A9BEF2", "Perano"],
+    ["A9C6C2", "Opal"],
+    ["AA375A", "Night Shadz"],
+    ["AA4203", "Fire"],
+    ["AA8B5B", "Muesli"],
+    ["AA8D6F", "Sandal"],
+    ["AAA5A9", "Shady Lady"],
+    #["AAA9CD", "Logan"],
+    ["AAABB7", "Spun Pearl"],
+    ["AAD6E6", "Regent St Blue"],
+    ["AAF0D1", "Magic Mint"],
+    ["AB0563", "Lipstick"],
+    ["AB3472", "Royal Heath"],
+    ["AB917A", "Sandrift"],
+    ["ABA0D9", "Cold Purple"],
+    ["ABA196", "Bronco"],
+    ["AC8A56", "Limed Oak"],
+    #["AC91CE", "East Side"],
+    ["AC9E22", "Lemon Ginger"],
+    ["ACA494", "Napa"],
+    #["ACA586", "Hillary"],
+    ["ACA59F", "Cloudy"],
+    ["ACACAC", "Silver Chalice"],
+    ["ACB78E", "Swamp Green"],
+    ["ACCBB1", "Spring Rain"],
+    ["ACDD4D", "Conifer"],
+    ["ACE1AF", "Celadon"],
+    ["AD781B", "Mandalay"],
+    ["ADBED1", "Casper"],
+    ["ADDFAD", "Moss Green"],
+    ["ADE6C4", "Padua"],
+    ["ADFF2F", "Green Yellow"],
+    ["AE4560", "Hippie Pink"],
+    ["AE6020", "Desert"],
+    ["AE809E", "Bouquet"],
+    ["AF4035", "Medium Carmine"],
+    ["AF4D43", "Apple Blossom"],
+    ["AF593E", "Brown Rust"],
+    ["AF8751", "Driftwood"],
+    ["AF8F2C", "Alpine"],
+    ["AF9F1C", "Lucky"],
+    ["AFA09E", "Martini"],
+    ["AFB1B8", "Bombay"],
+    ["AFBDD9", "Pigeon Post"],
+    ["B04C6A", "Cadillac"],
+    ["B05D54", "Matrix"],
+    ["B05E81", "Tapestry"],
+    ["B06608", "Mai Tai"],
+    ["B09A95", "Del Rio"],
+    ["B0E0E6", "Powder Blue"],
+    ["B0E313", "Inch Worm"],
+    ["B10000", "Bright Red"],
+    ["B14A0B", "Vesuvius"],
+    ["B1610B", "Pumpkin Skin"],
+    #["B16D52", "Santa Fe"],
+    ["B19461", "Teak"],
+    ["B1E2C1", "Fringy Flower"],
+    ["B1F4E7", "Ice Cold"],
+    ["B20931", "Shiraz"],
+    ["B2A1EA", "Biloba Flower"],
+    ["B32D29", "Tall Poppy"],
+    ["B35213", "Fiery Orange"],
+    ["B38007", "Hot Toddy"],
+    ["B3AF95", "Taupe Gray"],
+    ["B3C110", "La Rioja"],
+    #["B43332", "Well Read"],
+    ["B44668", "Blush"],
+    ["B4CFD3", "Jungle Mist"],
+    ["B57281", "Turkish Rose"],
+    ["B57EDC", "Lavender"],
+    ["B5A27F", "Mongoose"],
+    ["B5B35C", "Olive Green"],
+    ["B5D2CE", "Jet Stream"],
+    ["B5ECDF", "Cruise"],
+    ["B6316C", "Hibiscus"],
+    ["B69D98", "Thatch"],
+    ["B6B095", "Heathered Gray"],
+    ["B6BAA4", "Eagle"],
+    ["B6D1EA", "Spindle"],
+    ["B6D3BF", "Gum Leaf"],
+    ["B7410E", "Rust"],
+    ["B78E5C", "Muddy Waters"],
+    ["B7A214", "Sahara"],
+    ["B7A458", "Husk"],
+    #["B7B1B1", "Nobel"],
+    #["B7C3D0", "Heather"],
+    #["B7F0BE", "Madang"],
+    ["B81104", "Milano Red"],
+    ["B87333", "Copper"],
+    ["B8B56A", "Gimblet"],
+    ["B8C1B1", "Green Spring"],
+    ["B8C25D", "Celery"],
+    ["B8E0F9", "Sail"],
+    ["B94E48", "Chestnut"],
+    #["B95140", "Crail"],
+    ["B98D28", "Marigold"],
+    ["B9C46A", "Wild Willow"],
+    ["B9C8AC", "Rainee"],
+    ["BA0101", "Guardsman Red"],
+    ["BA450C", "Rock Spray"],
+    ["BA6F1E", "Bourbon"],
+    ["BA7F03", "Pirate Gold"],
+    ["BAB1A2", "Nomad"],
+    ["BAC7C9", "Submarine"],
+    ["BAEEF9", "Charlotte"],
+    ["BB3385", "Medium Red Violet"],
+    ["BB8983", "Brandy Rose"],
+    ["BBD009", "Rio Grande"],
+    ["BBD7C1", "Surf"],
+    ["BCC9C2", "Powder Ash"],
+    ["BD5E2E", "Tuscany"],
+    ["BD978E", "Quicksand"],
+    ["BDB1A8", "Silk"],
+    #["BDB2A1", "Malta"],
+    ["BDB3C7", "Chatelle"],
+    ["BDBBD7", "Lavender Gray"],
+    ["BDBDC6", "French Gray"],
+    ["BDC8B3", "Clay Ash"],
+    ["BDC9CE", "Loblolly"],
+    ["BDEDFD", "French Pass"],
+    ["BEA6C3", "London Hue"],
+    ["BEB5B7", "Pink Swan"],
+    ["BEDE0D", "Fuego"],
+    ["BF5500", "Rose of Sharon"],
+    ["BFB8B0", "Tide"],
+    ["BFBED8", "Blue Haze"],
+    ["BFC1C2", "Silver Sand"],
+    ["BFC921", "Key Lime Pie"],
+    #["BFDBE2", "Ziggurat"],
+    ["BFFF00", "Lime"],
+    ["C02B18", "Thunderbird"],
+    ["C04737", "Mojo"],
+    ["C08081", "Old Rose"],
+    ["C0C0C0", "Silver"],
+    ["C0D3B9", "Pale Leaf"],
+    ["C0D8B6", "Pixie Green"],
+    #["C1440E", "Tia Maria"],
+    ["C154C1", "Fuchsia Pink"],
+    ["C1A004", "Buddha Gold"],
+    ["C1B7A4", "Bison Hide"],
+    ["C1BAB0", "Tea"],
+    ["C1BECD", "Gray Suit"],
+    ["C1D7B0", "Sprout"],
+    #["C1F07C", "Sulu"],
+    #["C26B03", "Indochine"],
+    ["C2955D", "Twine"],
+    ["C2BDB6", "Cotton Seed"],
+    ["C2CAC4", "Pumice"],
+    ["C2E8E5", "Jagged Ice"],
+    ["C32148", "Maroon Flush"],
+    ["C3B091", "Indian Khaki"],
+    ["C3BFC1", "Pale Slate"],
+    ["C3C3BD", "Gray Nickel"],
+    ["C3CDE6", "Periwinkle Gray"],
+    ["C3D1D1", "Tiara"],
+    ["C3DDF9", "Tropical Blue"],
+    ["C41E3A", "Cardinal"],
+    ["C45655", "Fuzzy Wuzzy Brown"],
+    ["C45719", "Orange Roughy"],
+    ["C4C4BC", "Mist Gray"],
+    ["C4D0B0", "Coriander"],
+    ["C4F4EB", "Mint Tulip"],
+    ["C54B8C", "Mulberry"],
+    ["C59922", "Nugget"],
+    ["C5994B", "Tussock"],
+    ["C5DBCA", "Sea Mist"],
+    ["C5E17A", "Yellow Green"],
+    ["C62D42", "Brick Red"],
+    #["C6726B", "Contessa"],
+    ["C69191", "Oriental Pink"],
+    #["C6A84B", "Roti"],
+    ["C6C3B5", "Ash"],
+    ["C6C8BD", "Kangaroo"],
+    ["C6E610", "Las Palmas"],
+    ["C7031E", "Monza"],
+    ["C71585", "Red Violet"],
+    ["C7BCA2", "Coral Reef"],
+    ["C7C1FF", "Melrose"],
+    ["C7C4BF", "Cloud"],
+    ["C7C9D5", "Ghost"],
+    ["C7CD90", "Pine Glade"],
+    ["C7DDE5", "Botticelli"],
+    ["C88A65", "Antique Brass"],
+    ["C8A2C8", "Lilac"],
+    ["C8A528", "Hokey Pokey"],
+    ["C8AABF", "Lily"],
+    ["C8B568", "Laser"],
+    ["C8E3D7", "Edgewater"],
+    ["C96323", "Piper"],
+    #["C99415", "Pizza"],
+    ["C9A0DC", "Light Wisteria"],
+    ["C9B29B", "Rodeo Dust"],
+    ["C9B35B", "Sundance"],
+    ["C9B93B", "Earls Green"],
+    ["C9C0BB", "Silver Rust"],
+    ["C9D9D2", "Conch"],
+    ["C9FFA2", "Reef"],
+    ["C9FFE5", "Aero Blue"],
+    ["CA3435", "Flush Mahogany"],
+    ["CABB48", "Turmeric"],
+    ["CADCD4", "Paris White"],
+    ["CAE00D", "Bitter Lemon"],
+    ["CAE6DA", "Skeptic"],
+    ["CB8FA9", "Viola"],
+    ["CBCAB6", "Foggy Gray"],
+    ["CBD3B0", "Green Mist"],
+    ["CBDBD6", "Nebula"],
+    ["CC3333", "Persian Red"],
+    ["CC5500", "Burnt Orange"],
+    #["CC7722", "Ochre"],
+    #["CC8899", "Puce"],
+    ["CCCAA8", "Thistle Green"],
+    ["CCCCFF", "Periwinkle"],
+    ["CCFF00", "Electric Lime"],
+    #["CD5700", "Tenn"],
+    ["CD5C5C", "Chestnut Rose"],
+    ["CD8429", "Brandy Punch"],
+    #["CDF4FF", "Onahau"],
+    ["CEB98F", "Sorrell Brown"],
+    ["CEBABA", "Cold Turkey"],
+    ["CEC291", "Yuma"],
+    ["CEC7A7", "Chino"],
+    ["CFA39D", "Eunry"],
+    ["CFB53B", "Old Gold"],
+    ["CFDCCF", "Tasman"],
+    ["CFE5D2", "Surf Crest"],
+    ["CFF9F3", "Humming Bird"],
+    #["CFFAF4", "Scandal"],
+    ["D05F04", "Red Stage"],
+    ["D06DA1", "Hopbush"],
+    ["D07D12", "Meteor"],
+    ["D0BEF8", "Perfume"],
+    #["D0C0E5", "Prelude"],
+    ["D0F0C0", "Tea Green"],
+    ["D18F1B", "Geebung"],
+    ["D1BEA8", "Vanilla"],
+    ["D1C6B4", "Soft Amber"],
+    ["D1D2CA", "Celeste"],
+    ["D1D2DD", "Mischka"],
+    ["D1E231", "Pear"],
+    ["D2691E", "Hot Cinnamon"],
+    ["D27D46", "Raw Sienna"],
+    ["D29EAA", "Careys Pink"],
+    ["D2B48C", "Tan"],
+    ["D2DA97", "Deco"],
+    ["D2F6DE", "Blue Romance"],
+    #["D2F8B0", "Gossip"],
+    ["D3CBBA", "Sisal"],
+    ["D3CDC5", "Swirl"],
+    ["D47494", "Charm"],
+    ["D4B6AF", "Clam Shell"],
+    ["D4BF8D", "Straw"],
+    ["D4C4A8", "Akaroa"],
+    ["D4CD16", "Bird Flower"],
+    ["D4D7D9", "Iron"],
+    ["D4DFE2", "Geyser"],
+    ["D4E2FC", "Hawkes Blue"],
+    #["D54600", "Grenadier"],
+    #["D591A4", "Can Can"],
+    ["D59A6F", "Whiskey"],
+    ["D5D195", "Winter Hazel"],
+    ["D5F6E3", "Granny Apple"],
+    ["D69188", "My Pink"],
+    ["D6C562", "Tacha"],
+    ["D6CEF6", "Moon Raker"],
+    ["D6D6D1", "Quill Gray"],
+    ["D6FFDB", "Snowy Mint"],
+    ["D7837F", "New York Pink"],
+    #["D7C498", "Pavlova"],
+    ["D7D0FF", "Fog"],
+    ["D84437", "Valencia"],
+    ["D87C63", "Japonica"],
+    #["D8BFD8", "Thistle"],
+    ["D8C2D5", "Maverick"],
+    ["D8FCFA", "Foam"],
+    ["D94972", "Cabaret"],
+    ["D99376", "Burning Sand"],
+    ["D9B99B", "Cameo"],
+    ["D9D6CF", "Timberwolf"],
+    ["D9DCC1", "Tana"],
+    ["D9E4F5", "Link Water"],
+    ["D9F7FF", "Mabel"],
+    ["DA3287", "Cerise"],
+    ["DA5B38", "Flame Pea"],
+    ["DA6304", "Bamboo"],
+    ["DA6A41", "Red Damask"],
+    ["DA70D6", "Orchid"],
+    ["DA8A67", "Copperfield"],
+    ["DAA520", "Golden Grass"],
+    ["DAECD6", "Zanah"],
+    ["DAF4F0", "Iceberg"],
+    #["DAFAFF", "Oyster Bay"],
+    ["DB5079", "Cranberry"],
+    ["DB9690", "Petite Orchid"],
+    #["DB995E", "Di Serria"],
+    ["DBDBDB", "Alto"],
+    ["DBFFF8", "Frosted Mint"],
+    ["DC143C", "Crimson"],
+    ["DC4333", "Punch"],
+    ["DCB20C", "Galliano"],
+    ["DCB4BC", "Blossom"],
+    ["DCD747", "Wattle"],
+    ["DCD9D2", "Westar"],
+    ["DCDDCC", "Moon Mist"],
+    ["DCEDB4", "Caper"],
+    ["DCF0EA", "Swans Down"],
+    ["DDD6D5", "Swiss Coffee"],
+    ["DDF9F1", "White Ice"],
+    ["DE3163", "Cerise Red"],
+    #["DE6360", "Roman"],
+    ["DEA681", "Tumbleweed"],
+    ["DEBA13", "Gold Tips"],
+    ["DEC196", "Brandy"],
+    ["DECBC6", "Wafer"],
+    ["DED4A4", "Sapling"],
+    ["DED717", "Barberry"],
+    ["DEE5C0", "Beryl Green"],
+    ["DEF5FF", "Pattens Blue"],
+    #["DF73FF", "Heliotrope"],
+    #["DFBE6F", "Apache"],
+    #["DFCD6F", "Chenin"],
+    #["DFCFDB", "Lola"],
+    ["DFECDA", "Willow Brook"],
+    ["DFFF00", "Chartreuse Yellow"],
+    ["E0B0FF", "Mauve"],
+    ["E0B646", "Anzac"],
+    ["E0B974", "Harvest Gold"],
+    ["E0C095", "Calico"],
+    ["E0FFFF", "Baby Blue"],
+    #["E16865", "Sunglo"],
+    #["E1BC64", "Equator"],
+    ["E1C0C8", "Pink Flare"],
+    ["E1E6D6", "Periglacial Blue"],
+    #["E1EAD4", "Kidnapper"],
+    #["E1F6E8", "Tara"],
+    #["E25465", "Mandy"],
+    ["E2725B", "Terracotta"],
+    ["E28913", "Golden Bell"],
+    #["E292C0", "Shocking"],
+    ["E29418", "Dixie"],
+    ["E29CD2", "Light Orchid"],
+    #["E2D8ED", "Snuff"],
+    ["E2EBED", "Mystic"],
+    ["E2F3EC", "Apple Green"],
+    ["E30B5C", "Razzmatazz"],
+    ["E32636", "Alizarin Crimson"],
+    ["E34234", "Cinnabar"],
+    ["E3BEBE", "Cavern Pink"],
+    ["E3F5E1", "Peppermint"],
+    ["E3F988", "Mindaro"],
+    ["E47698", "Deep Blush"],
+    #["E49B0F", "Gamboge"],
+    #["E4C2D5", "Melanie"],
+    ["E4CFDE", "Twilight"],
+    #["E4D1C0", "Bone"],
+    ["E4D422", "Sunflower"],
+    ["E4D5B7", "Grain Brown"],
+    ["E4D69B", "Zombie"],
+    ["E4F6E7", "Frostee"],
+    ["E4FFD1", "Snow Flurry"],
+    ["E52B50", "Amaranth"],
+    ["E5841B", "Zest"],
+    ["E5CCC9", "Dust Storm"],
+    ["E5D7BD", "Stark White"],
+    #["E5D8AF", "Hampton"],
+    #["E5E0E1", "Bon Jour"],
+    ["E5E5E5", "Mercury"],
+    ["E5F9F6", "Polar"],
+    ["E64E03", "Trinidad"],
+    ["E6BE8A", "Gold Sand"],
+    ["E6BEA5", "Cashmere"],
+    ["E6D7B9", "Double Spanish White"],
+    ["E6E4D4", "Satin Linen"],
+    #["E6F2EA", "Harp"],
+    ["E6F8F3", "Off Green"],
+    ["E6FFE9", "Hint of Green"],
+    ["E6FFFF", "Tranquil"],
+    ["E77200", "Mango Tango"],
+    ["E7730A", "Christine"],
+    ["E79F8C", "Tonys Pink"],
+    #["E79FC4", "Kobi"],
+    ["E7BCB4", "Rose Fog"],
+    ["E7BF05", "Corn"],
+    ["E7CD8C", "Putty"],
+    ["E7ECE6", "Gray Nurse"],
+    ["E7F8FF", "Lily White"],
+    ["E7FEFF", "Bubbles"],
+    ["E89928", "Fire Bush"],
+    ["E8B9B3", "Shilo"],
+    ["E8E0D5", "Pearl Bush"],
+    ["E8EBE0", "Green White"],
+    ["E8F1D4", "Chrome White"],
+    ["E8F2EB", "Gin"],
+    ["E8F5F2", "Aqua Squeeze"],
+    ["E96E00", "Clementine"],
+    ["E97451", "Burnt Sienna"],
+    ["E97C07", "Tahiti Gold"],
+    ["E9CECD", "Oyster Pink"],
+    ["E9D75A", "Confetti"],
+    #["E9E3E3", "Ebb"],
+    #["E9F8ED", "Ottoman"],
+    ["E9FFFD", "Clear Day"],
+    ["EA88A8", "Carissma"],
+    #["EAAE69", "Porsche"],
+    ["EAB33B", "Tulip Tree"],
+    #["EAC674", "Rob Roy"],
+    ["EADAB8", "Raffia"],
+    ["EAE8D4", "White Rock"],
+    ["EAF6EE", "Panache"],
+    ["EAF6FF", "Solitude"],
+    ["EAF9F5", "Aqua Spring"],
+    ["EAFFFE", "Dew"],
+    ["EB9373", "Apricot"],
+    #["EBC2AF", "Zinnwaldite"],
+    ["ECA927", "Fuel Yellow"],
+    #["ECC54E", "Ronchi"],
+    ["ECC7EE", "French Lilac"],
+    #["ECCDB9", "Just Right"],
+    ["ECE090", "Wild Rice"],
+    ["ECEBBD", "Fall Green"],
+    #["ECEBCE", "Aths Special"],
+    ["ECF245", "Starship"],
+    ["ED0A3F", "Red Ribbon"],
+    ["ED7A1C", "Tango"],
+    ["ED9121", "Carrot Orange"],
+    ["ED989E", "Sea Pink"],
+    ["EDB381", "Tacao"],
+    ["EDC9AF", "Desert Sand"],
+    ["EDCDAB", "Pancho"],
+    ["EDDCB1", "Chamois"],
+    ["EDEA99", "Primrose"],
+    ["EDF5DD", "Frost"],
+    ["EDF5F5", "Aqua Haze"],
+    #["EDF6FF", "Zumthor"],
+    #["EDF9F1", "Narvik"],
+    ["EDFC84", "Honeysuckle"],
+    ["EE82EE", "Lavender Magenta"],
+    #["EEC1BE", "Beauty Bush"],
+    ["EED794", "Chalky"],
+    ["EED9C4", "Almond"],
+    ["EEDC82", "Flax"],
+    #["EEDEDA", "Bizarre"],
+    ["EEE3AD", "Double Colonial White"],
+    ["EEEEE8", "Cararra"],
+    ["EEEF78", "Manz"],
+    ["EEF0C8", "Tahuna Sands"],
+    ["EEF0F3", "Athens Gray"],
+    ["EEF3C3", "Tusk"],
+    ["EEF4DE", "Loafer"],
+    ["EEF6F7", "Catskill White"],
+    ["EEFDFF", "Twilight Blue"],
+    ["EEFF9A", "Jonquil"],
+    ["EEFFE2", "Rice Flower"],
+    ["EF863F", "Jaffa"],
+    #["EFEFEF", "Gallery"],
+    ["EFF2F3", "Porcelain"],
+    #["F091A9", "Mauvelous"],
+    ["F0D52D", "Golden Dream"],
+    ["F0DB7D", "Golden Sand"],
+    #["F0DC82", "Buff"],
+    #["F0E2EC", "Prim"],
+    ["F0E68C", "Khaki"],
+    ["F0EEFD", "Selago"],
+    ["F0EEFF", "Titan White"],
+    ["F0F8FF", "Alice Blue"],
+    ["F0FCEA", "Feta"],
+    ["F18200", "Gold Drop"],
+    #["F19BAB", "Wewak"],
+    ["F1E788", "Sahara Sand"],
+    ["F1E9D2", "Parchment"],
+    ["F1E9FF", "Blue Chalk"],
+    ["F1EEC1", "Mint Julep"],
+    ["F1F1F1", "Seashell"],
+    ["F1F7F2", "Saltpan"],
+    ["F1FFAD", "Tidal"],
+    ["F1FFC8", "Chiffon"],
+    ["F2552A", "Flamingo"],
+    ["F28500", "Tangerine"],
+    ["F2C3B2", "Mandys Pink"],
+    ["F2F2F2", "Concrete"],
+    ["F2FAFA", "Black Squeeze"],
+    ["F34723", "Pomegranate"],
+    ["F3AD16", "Buttercup"],
+    ["F3D69D", "New Orleans"],
+    ["F3D9DF", "Vanilla Ice"],
+    ["F3E7BB", "Sidecar"],
+    ["F3E9E5", "Dawn Pink"],
+    ["F3EDCF", "Wheatfield"],
+    ["F3FB62", "Canary"],
+    ["F3FBD4", "Orinoco"],
+    #["F3FFD8", "Carla"],
+    ["F400A1", "Hollywood Cerise"],
+    ["F4A460", "Sandy brown"],
+    ["F4C430", "Saffron"],
+    ["F4D81C", "Ripe Lemon"],
+    #["F4EBD3", "Janna"],
+    #["F4F2EE", "Pampas"],
+    ["F4F4F4", "Wild Sand"],
+    ["F4F8FF", "Zircon"],
+    ["F57584", "Froly"],
+    ["F5C85C", "Cream Can"],
+    #["F5C999", "Manhattan"],
+    ["F5D5A0", "Maize"],
+    ["F5DEB3", "Wheat"],
+    ["F5E7A2", "Sandwisp"],
+    ["F5E7E2", "Pot Pourri"],
+    ["F5E9D3", "Albescent White"],
+    ["F5EDEF", "Soft Peach"],
+    ["F5F3E5", "Ecru White"],
+    ["F5F5DC", "Beige"],
+    ["F5FB3D", "Golden Fizz"],
+    ["F5FFBE", "Australian Mint"],
+    ["F64A8A", "French Rose"],
+    ["F653A6", "Brilliant Rose"],
+    ["F6A4C9", "Illusion"],
+    ["F6F0E6", "Merino"],
+    ["F6F7F7", "Black Haze"],
+    ["F6FFDC", "Spring Sun"],
+    ["F7468A", "Violet Red"],
+    ["F77703", "Chilean Fire"],
+    ["F77FBE", "Persian Pink"],
+    ["F7B668", "Rajah"],
+    ["F7C8DA", "Azalea"],
+    ["F7DBE6", "We Peep"],
+    ["F7F2E1", "Quarter Spanish White"],
+    ["F7F5FA", "Whisper"],
+    ["F7FAF7", "Snow Drift"],
+    ["F8B853", "Casablanca"],
+    ["F8C3DF", "Chantilly"],
+    ["F8D9E9", "Cherub"],
+    ["F8DB9D", "Marzipan"],
+    ["F8DD5C", "Energy Yellow"],
+    #["F8E4BF", "Givry"],
+    ["F8F0E8", "White Linen"],
+    ["F8F4FF", "Magnolia"],
+    ["F8F6F1", "Spring Wood"],
+    ["F8F7DC", "Coconut Cream"],
+    ["F8F7FC", "White Lilac"],
+    ["F8F8F7", "Desert Storm"],
+    #["F8F99C", "Texas"],
+    ["F8FACD", "Corn Field"],
+    ["F8FDD3", "Mimosa"],
+    ["F95A61", "Carnation"],
+    ["F9BF58", "Saffron Mango"],
+    ["F9E0ED", "Carousel Pink"],
+    ["F9E4BC", "Dairy Cream"],
+    ["F9E663", "Portica"],
+    ["F9EAF3", "Amour"],
+    ["F9F8E4", "Rum Swizzle"],
+    ["F9FF8B", "Dolly"],
+    ["F9FFF6", "Sugar Cane"],
+    ["FA7814", "Ecstasy"],
+    ["FA9D5A", "Tan Hide"],
+    ["FAD3A2", "Corvette"],
+    ["FADFAD", "Peach Yellow"],
+    ["FAE600", "Turbo"],
+    ["FAEAB9", "Astra"],
+    ["FAECCC", "Champagne"],
+    ["FAF0E6", "Linen"],
+    ["FAF3F0", "Fantasy"],
+    ["FAF7D6", "Citrine White"],
+    ["FAFAFA", "Alabaster"],
+    ["FAFDE4", "Hint of Yellow"],
+    ["FAFFA4", "Milan"],
+    ["FB607F", "Brink Pink"],
+    ["FB8989", "Geraldine"],
+    ["FBA0E3", "Lavender Rose"],
+    #["FBA129", "Sea Buckthorn"],
+    ["FBAC13", "Sun"],
+    ["FBAED2", "Lavender Pink"],
+    ["FBB2A3", "Rose Bud"],
+    ["FBBEDA", "Cupid"],
+    ["FBCCE7", "Classic Rose"],
+    ["FBCEB1", "Apricot Peach"],
+    ["FBE7B2", "Banana Mania"],
+    ["FBE870", "Marigold Yellow"],
+    #["FBE96C", "Festival"],
+    ["FBEA8C", "Sweet Corn"],
+    ["FBEC5D", "Candy Corn"],
+    ["FBF9F9", "Hint of Red"],
+    ["FBFFBA", "Shalimar"],
+    ["FC0FC0", "Shocking Pink"],
+    ["FC80A5", "Tickle Me Pink"],
+    ["FC9C1D", "Tree Poppy"],
+    ["FCC01E", "Lightning Yellow"],
+    ["FCD667", "Goldenrod"],
+    ["FCD917", "Candlelight"],
+    ["FCDA98", "Cherokee"],
+    ["FCF4D0", "Double Pearl Lusta"],
+    ["FCF4DC", "Pearl Lusta"],
+    ["FCF8F7", "Vista White"],
+    ["FCFBF3", "Bianca"],
+    ["FCFEDA", "Moon Glow"],
+    ["FCFFE7", "China Ivory"],
+    ["FCFFF9", "Ceramic"],
+    ["FD0E35", "Torch Red"],
+    ["FD5B78", "Wild Watermelon"],
+    ["FD7B33", "Crusta"],
+    ["FD7C07", "Sorbus"],
+    ["FD9FA2", "Sweet Pink"],
+    ["FDD5B1", "Light Apricot"],
+    ["FDD7E4", "Pig Pink"],
+    ["FDE1DC", "Cinderella"],
+    ["FDE295", "Golden Glow"],
+    ["FDE910", "Lemon"],
+    ["FDF5E6", "Old Lace"],
+    ["FDF6D3", "Half Colonial White"],
+    ["FDF7AD", "Drover"],
+    ["FDFEB8", "Pale Prim"],
+    ["FDFFD5", "Cumulus"],
+    ["FE28A2", "Persian Rose"],
+    ["FE4C40", "Sunset Orange"],
+    #["FE6F5E", "Bittersweet"],
+    #["FE9D04", "California"],
+    ["FEA904", "Yellow Sea"],
+    ["FEBAAD", "Melon"],
+    ["FED33C", "Bright Sun"],
+    ["FED85D", "Dandelion"],
+    #["FEDB8D", "Salomie"],
+    ["FEE5AC", "Cape Honey"],
+    #["FEEBF3", "Remy"],
+    ["FEEFCE", "Oasis"],
+    ["FEF0EC", "Bridesmaid"],
+    ["FEF2C7", "Beeswax"],
+    ["FEF3D8", "Bleach White"],
+    ["FEF4CC", "Pipi"],
+    ["FEF4DB", "Half Spanish White"],
+    ["FEF4F8", "Wisp Pink"],
+    ["FEF5F1", "Provincial Pink"],
+    ["FEF7DE", "Half Dutch White"],
+    #["FEF8E2", "Solitaire"],
+    ["FEF8FF", "White Pointer"],
+    ["FEF9E3", "Off Yellow"],
+    ["FEFCED", "Orange White"],
+    ["FF0000", "Red"],
+    ["FF007F", "Rose"],
+    ["FF00CC", "Purple Pizzazz"],
+    ["FF00FF", "Magenta / Fuchsia"],
+    ["FF2400", "Scarlet"],
+    ["FF3399", "Wild Strawberry"],
+    ["FF33CC", "Razzle Dazzle Rose"],
+    ["FF355E", "Radical Red"],
+    ["FF3F34", "Red Orange"],
+    ["FF4040", "Coral Red"],
+    ["FF4D00", "Vermilion"],
+    ["FF4F00", "International Orange"],
+    ["FF6037", "Outrageous Orange"],
+    ["FF6600", "Blaze Orange"],
+    ["FF66FF", "Pink Flamingo"],
+    ["FF681F", "Orange"],
+    ["FF69B4", "Hot Pink"],
+    ["FF6B53", "Persimmon"],
+    ["FF6FFF", "Blush Pink"],
+    ["FF7034", "Burning Orange"],
+    ["FF7518", "Pumpkin"],
+    ["FF7D07", "Flamenco"],
+    ["FF7F00", "Flush Orange"],
+    ["FF7F50", "Coral"],
+    ["FF8C69", "Salmon"],
+    ["FF9000", "Pizazz"],
+    #["FF910F", "West Side"],
+    ["FF91A4", "Pink Salmon"],
+    ["FF9933", "Neon Carrot"],
+    ["FF9966", "Atomic Tangerine"],
+    ["FF9980", "Vivid Tangerine"],
+    ["FF9E2C", "Sunshade"],
+    ["FFA000", "Orange Peel"],
+    ["FFA194", "Mona Lisa"],
+    ["FFA500", "Web Orange"],
+    ["FFA6C9", "Carnation Pink"],
+    ["FFAB81", "Hit Pink"],
+    ["FFAE42", "Yellow Orange"],
+    ["FFB0AC", "Cornflower Lilac"],
+    ["FFB1B3", "Sundown"],
+    #["FFB31F", "My Sin"],
+    ["FFB555", "Texas Rose"],
+    ["FFB7D5", "Cotton Candy"],
+    ["FFB97B", "Macaroni and Cheese"],
+    ["FFBA00", "Selective Yellow"],
+    ["FFBD5F", "Koromiko"],
+    ["FFBF00", "Amber"],
+    ["FFC0A8", "Wax Flower"],
+    ["FFC0CB", "Pink"],
+    ["FFC3C0", "Your Pink"],
+    ["FFC901", "Supernova"],
+    ["FFCBA4", "Flesh"],
+    ["FFCC33", "Sunglow"],
+    ["FFCC5C", "Golden Tainoi"],
+    ["FFCC99", "Peach Orange"],
+    ["FFCD8C", "Chardonnay"],
+    ["FFD1DC", "Pastel Pink"],
+    ["FFD2B7", "Romantic"],
+    ["FFD38C", "Grandis"],
+    ["FFD700", "Gold"],
+    ["FFD800", "School bus Yellow"],
+    ["FFD8D9", "Cosmos"],
+    ["FFDB58", "Mustard"],
+    ["FFDCD6", "Peach Schnapps"],
+    ["FFDDAF", "Caramel"],
+    ["FFDDCD", "Tuft Bush"],
+    ["FFDDCF", "Watusi"],
+    ["FFDDF4", "Pink Lace"],
+    ["FFDEAD", "Navajo White"],
+    ["FFDEB3", "Frangipani"],
+    ["FFE1DF", "Pippin"],
+    ["FFE1F2", "Pale Rose"],
+    ["FFE2C5", "Negroni"],
+    ["FFE5A0", "Cream Brulee"],
+    ["FFE5B4", "Peach"],
+    ["FFE6C7", "Tequila"],
+    ["FFE772", "Kournikova"],
+    ["FFEAC8", "Sandy Beach"],
+    #["FFEAD4", "Karry"],
+    ["FFEC13", "Broom"],
+    ["FFEDBC", "Colonial White"],
+    ["FFEED8", "Derby"],
+    #["FFEFA1", "Vis Vis"],
+    ["FFEFC1", "Egg White"],
+    ["FFEFD5", "Papaya Whip"],
+    ["FFEFEC", "Fair Pink"],
+    ["FFF0DB", "Peach Cream"],
+    ["FFF0F5", "Lavender blush"],
+    #["FFF14F", "Gorse"],
+    ["FFF1B5", "Buttermilk"],
+    ["FFF1D8", "Pink Lady"],
+    ["FFF1EE", "Forget Me Not"],
+    ["FFF1F9", "Tutu"],
+    #["FFF39D", "Picasso"],
+    ["FFF3F1", "Chardon"],
+    ["FFF46E", "Paris Daisy"],
+    ["FFF4CE", "Barley White"],
+    #["FFF4DD", "Egg Sour"],
+    ["FFF4E0", "Sazerac"],
+    #["FFF4E8", "Serenade"],
+    ["FFF4F3", "Chablis"],
+    ["FFF5EE", "Seashell Peach"],
+    ["FFF5F3", "Sauvignon"],
+    ["FFF6D4", "Milk Punch"],
+    ["FFF6DF", "Varden"],
+    ["FFF6F5", "Rose White"],
+    ["FFF8D1", "Baja White"],
+    ["FFF9E2", "Gin Fizz"],
+    ["FFF9E6", "Early Dawn"],
+    ["FFFACD", "Lemon Chiffon"],
+    ["FFFAF4", "Bridal Heath"],
+    ["FFFBDC", "Scotch Mist"],
+    ["FFFBF9", "Soapstone"],
+    ["FFFC99", "Witch Haze"],
+    ["FFFCEA", "Buttery White"],
+    ["FFFCEE", "Island Spice"],
+    ["FFFDD0", "Cream"],
+    #["FFFDE6", "Chilean Heath"],
+    ["FFFDE8", "Travertine"],
+    ["FFFDF3", "Orchid White"],
+    ["FFFDF4", "Quarter Pearl Lusta"],
+    ["FFFEE1", "Half and Half"],
+    ["FFFEEC", "Apricot White"],
+    ["FFFEF0", "Rice Cake"],
+    ["FFFEF6", "Black White"],
+    #["FFFEFD", "Romance"],
+    ["FFFF00", "Yellow"],
+    ["FFFF66", "Laser Lemon"],
+    ["FFFF99", "Pale Canary"],
+    ["FFFFB4", "Portafino"],
+    ["FFFFF0", "Ivory"],
+    ["FFFFFF", "White"]
+]
+
+
+#from 
+# https://sashamaps.net/docs/resources/20-colors/
+static_names = [
+    ["800000", "maroon"],
+    ["9A6324", "brown"],
+    ["469990","teal"],
+    ["000075", "navy"],
+    ["000000","black"],
+    ["FF0000", "red"],
+    ["F58231", "orange"],
+    ["FFE119", "yellow"],
+    ["3CB44B", "green"],
+    ["42D4F4", "cyan"],
+    ["4363D8", "blue"],
+    ["F032E6", "magenta"],
+    ["A9A9A9", "grey"],
+    ["FABED4", "pink"],
+    ["FFFAC8", "beige"],
+    ["AAFFC3", "mint"],
+    ["DCBEFF", "lavender"],
+    ["FFFFFF", "white"],
+]
+
+# adopted from: Farbtastic 1.2
+# http://acko.net/dev/farbtastic
+# Color is a 7 character string starting with '#'
+def rgb(color: str):
+  return [int(f'0x{color[1:3]}', 16), int(f'0x{color[3:5]}', 16), int(f'0x{color[5:7]}', 16)]
+
+# adopted from: Farbtastic 1.2
+# http://acko.net/dev/farbtastic
+# Color is a 7 character string starting with '#'
+def hsl(color: str):
+  rgb = [int(f'0x{color[1:3]}', 16) / 255, int(f'0x{color[3:5]}', 16) / 255, int(f'0x{color[5:7]}', 16) / 255]
+  r, g, b = rgb[0], rgb[1], rgb[2]
+
+  min_value = min(r, min(g, b))
+  max_value = max(r, max(g, b))
+  delta = max_value - min_value
+  l = (min_value + max_value) / 2
+
+  s = 0
+  if 0 < l < 1:
+    if l < 0.5:
+      s = delta / (2 * l)
+    else:
+      s = delta / (2 - 2 * l)
+
+  h = 0
+  if delta > 0:
+
+    if max == r and max != g:
+      h += (g - b) / delta
+    if max == g and max != b:
+      h += (2 + (b - r) / delta)
+    if max == b and max != r:
+      h += (4 + (r - g) / delta)
+
+    h /= 6
+
+  return [(h * 255), (s * 255), (l * 255)]
+
+
+class Ntc:
+
+    def __init__(self):
+        self.names = []
+
+        for i in range(len(static_names)):
+            color = '#' + static_names[i][0]
+            rgb_array = rgb(color)
+            hsl_array = hsl(color)
+            self.names.append(static_names[i])
+            self.names[i].extend([rgb_array[0], rgb_array[1], rgb_array[2], hsl_array[0], hsl_array[1], hsl_array[2]])
+
+    def name(self, color: str):
+
+        color = color.upper()
+        if len(color) < 3 or len(color) > 7:
+            return ["#000000", "Invalid Color: " + color, False]
+
+        if len(color) % 3 == 0:
+            color = "#" + color
+
+        if len(color) == 4:
+            color = "#" + color[1] + color[1] + color[2] + color[2] + color[3] + color[3]
+
+        rgb_array = rgb(color)
+        r, g, b = rgb_array[0], rgb_array[1], rgb_array[2]
+
+        hsl_array = hsl(color)
+        h, s, l = hsl_array[0], hsl_array[1], hsl_array[2]
+
+        ndf1 = 0
+        ndf2 = 0
+        ndf = 0
+        cl = -1
+        df = -1
+
+        for i in range(len(self.names)):
+            if color == "#" + self.names[i][0]:
+                return ["#" + self.names[i][0], self.names[i][1], True]
+
+            ndf1 = math.pow(r - self.names[i][2], 2) + math.pow(g - self.names[i][3], 2) + math.pow(
+                b - self.names[i][4], 2)
+            ndf2 = math.pow(h - self.names[i][5], 2) + math.pow(s - self.names[i][6], 2) + math.pow(
+                l - self.names[i][7], 2)
+            ndf = ndf1 + ndf2 * 2
+
+            if df < 0 or df > ndf:
+                df = ndf
+                cl = i
+
+        if cl < 0:
+            return ["#000000", "Invalid Color: " + color, False]
+        else:
+            return ["#" + self.names[cl][0], self.names[cl][1], False]
+
+
+#############################################
+
+
+#  Copyright (c) 2022. Bart Lamiroy (Bart.Lamiroy@univ-reims.fr) and subsequent contributors
+#  as per git commit history. All rights reserved.
+#
+#  La Muse, Leveraging Artificial Intelligence for Sparking Inspiration
+#  https://hal.archives-ouvertes.fr/hal-03470467/
+#
+#  This code is licenced under the GNU LESSER GENERAL PUBLIC LICENSE
+#  Version 3, 29 June 2007
+
+import numpy as np
+import cv2
+from sklearn.cluster import MiniBatchKMeans
+
+
+# inspired from https://pyimagesearch.com/2014/07/07/color-quantization-opencv-using-k-means-clustering/
+def color_quantify(image: np.array, nb: int) -> np.array:
+    # grab image width and height
+    (h, w) = image.shape[:2]
+
+    # convert the image from the RGB color space to the L*a*b*
+    # color space -- since we will be clustering using k-means
+    # which is based on the euclidean distance, we'll use the
+    # L*a*b* color space where the euclidean distance implies
+    # perceptual meaning
+    image = cv2.cvtColor(image, cv2.COLOR_BGR2LAB)
+
+    # reshape the image into a feature vector so that k-means
+    # can be applied
+    image = image.reshape((image.shape[0] * image.shape[1], 3))
+
+    # apply k-means using the specified number of clusters and
+    # then create the quantized image based on the predictions
+    clt = MiniBatchKMeans(n_clusters = nb)
+    labels = clt.fit_predict(image)
+    quant = clt.cluster_centers_.astype("uint8")[labels]
+
+    # reshape the feature vectors to images
+    quant = quant.reshape((h, w, 3))
+    quant = cv2.cvtColor(quant, cv2.COLOR_LAB2BGR)
+
+    return quant
+
+# code adapted from https://stackoverflow.com/questions/50899692/most-dominant-color-in-rgb-image-opencv-numpy-python
+def bincount_app(a: np.array, nb: int):
+    # Not reducing image colours to three significant bits per channel since image supposedly already
+    # reduced.
+    #a = a & int("11100000", 2)
+    #cv2.imwrite("final_image.jpg",a)
+
+    a2D = a.reshape(-1,a.shape[-1])
+
+    col_range = (256, 256, 256) # generically : a2D.max(0)+1
+    a1D = np.ravel_multi_index(a2D.T, col_range)
+
+    #return np.unravel_index(np.bincount(a1D).argmax(), col_range)
+    return np.unravel_index(np.bincount(a1D).argpartition(-nb)[-nb:], col_range)
+
+def int_array_to_hex_string(a: list) -> str:
+    str_list = [ "{0:#0{1}x}".format(i,4)[2:] for i in a]
+    return '#'+''.join(str_list)
+
+
+def get_color_names(image: np.array, nb_colors: int = 5):
+    test_image = color_quantify(image, nb_colors)
+    main_colors = [int_array_to_hex_string(i) for i in zip(*bincount_app(test_image, nb_colors))]
+    naming = Ntc()
+    main_color_names = [ naming.name(i)[1] for i in main_colors]
+
+    return main_color_names
+
+cached_colors_dict = {} # to avoid recomputing
+
+def get_colors(filepath, nb_colors: int = 5):
+    colors = cached_colors_dict.get(filepath)
+    if colors is None:
+        colors = get_color_names(
+            np.array(Image.open(filepath).resize((600,600) )),
+            nb_colors
+        )
+        cached_colors_dict[filepath] = colors
+
+    return colors
+
+def get_checkpoint_path(output_path):
+    #checkpoint_path = "checkpoint" + os.path.basename(output_path)
+    #checkpoint_path = os.path.join( os.path.dirname(output_path), checkpoint_path)
+    #return checkpoint_path
+    return output_path
+
+def load_checkpoint(checkpoint_path):
+    try:
+        print("reading checkpoint at ", checkpoint_path)
+        df = pd.read_csv(checkpoint_path)
+        
+        cached_colors = {
+            row['image_file']: row['colors']
+            for _, row in df.iterrows()
+        }
+        print("Checkpoint loaded succesfully to cache")
+        return cached_colors
+    except:
+        print("Checkpoint was not loaded")
+        return cached_colors_dict
+
+def save_checkpoint(checkpoint_path,df,  color_list):
+    output_df = df.copy()
+    output_df['colors'] = color_list
+    output_df.to_csv(checkpoint_path,
+        index= False, # don't write a new 'Index' column
+    )
+    print("Saved checkpoint!")
+
+
+
+########################################
+# get_color_names(numpy.array(PIL.Image.open(painting) ) )
+
+########################################
+from PIL import Image
+from tqdm import tqdm
+
+
+#input_csv_directory = "/home/lvasquezreina/supproj/repo/M1-supervised_project/ARTEMIS/custom_scripts/emo_caption_custom_images/outputs/custom_captions.csv"
+
+import pandas as pd
+import os
+
+import argparse
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser(prog="ColorDetectionLaMuse",
+                                     description='Detects the top 5 main colors per image in an image list')
+    
+    parser.add_argument("--input_file", "-in", metavar='in', type=str, nargs=1,
+                        help='input file containing images-paths for color detection.',
+                             #default=[default_painting_folder]
+                             )
+    parser.add_argument("--output_file", "-out", metavar='out', type=str, nargs=1,
+                        help='output file containing images-paths + detected colors'
+                        #default=[default_interpretation_folder]
+                         )
+    args = parser.parse_args()
+    input_csv_file = args.input_file[0]
+    output_csv_file = args.output_file[0]
+
+    checkpoint_path = get_checkpoint_path(output_csv_file)
+    cached_colors_dict = load_checkpoint(checkpoint_path)
+
+
+    df = pd.read_csv(input_csv_file)
+    filepath_column = 'image_file'
+
+    colors_list = []
+    processed_files = set(cached_colors_dict.keys())
+    
+    iterable_list = list(enumerate( df[filepath_column]))
+    for elem in tqdm(iterable_list):
+        
+        idx = elem[0]
+        filepath = elem[1]
+
+        #save checkpoint every 50 files
+        if (not (len(processed_files) % 49) 
+            ):
+    
+            print(f"Images processed: {len(processed_files)}")
+            save_checkpoint(checkpoint_path, df.iloc[:idx], colors_list)
+
+
+
+        colors = get_colors(filepath)
+        colors_list.append(colors)
+        processed_files.add(filepath)
+
+    output_df = df.copy()
+    #output_df['filepath'] = df['image_file']
+    output_df['colors'] = colors_list
+
+    output_file = os.path.join("detected_colors.csv")
+
+    output_df.to_csv(output_csv_file,
+        index= False, # don't write a new 'Index' column
+    )
+

imageprocessing/emotion_detection.py

@@ -0,0 +1,248 @@
+
+
+# emotion detection with artemis
+# given a CSV with image filepaths in a column 'image_file',
+# append a column 'grounding_emotion' and a column 'emotions' with the detected emotion.
+# 'emotions' contains detected the emotions ordered by descending probability.
+# 'grounding_emotion' contains the main emotion (the most probable one)
+
+import pandas as pd
+import numpy as np
+from PIL import Image
+import torch
+from tqdm import tqdm
+
+
+#### checkpoints
+def save_checkpoint(checkpoint_path,df,  grounding_emo_list, emotions_list):
+    output_df = df.copy()
+    output_df['grounding_emotion'] = grounding_emo_list
+    output_df['emotions'] = emotions_list
+    output_df.to_csv(checkpoint_path,
+        index= False, # don't write a new 'Index' column
+    )
+    print("Saved checkpoint!")
+
+def load_checkpoint_grounding_emotion(checkpoint_path):
+    try:
+        print("reading checkpoint at ", checkpoint_path)
+        df = pd.read_csv(checkpoint_path)
+        
+        cached_grounding_emotion= {
+            row['image_file']: row['grounding_emotion']
+            for _, row in df.iterrows()
+        }
+        print(f"Checkpoint loaded succesfully to cache: {len(cached_grounding_emotion)} processed files")
+        return cached_grounding_emotion
+    except:
+        print("Checkpoint was not loaded")
+        return cached_grounding_emotion_dict
+
+def load_checkpoint_emotions(checkpoint_path):
+    try:
+        print("reading checkpoint at ", checkpoint_path)
+        df = pd.read_csv(checkpoint_path)
+        
+        cached_emotions= {
+            row['image_file']: row['emotions']
+            for _, row in df.iterrows()
+        }
+        print(f"Checkpoint loaded succesfully to cache: {len(cached_emotions)} processed files")
+        return cached_emotions
+    except:
+        print("Checkpoint was not loaded")
+        return cached_emotions_dict
+
+def get_checkpoint_path(output_path):
+    #checkpoint_path = "checkpoint" + os.path.basename(output_path)
+    #checkpoint_path = os.path.join( os.path.dirname(output_path), checkpoint_path)
+    #return checkpoint_path
+    return output_path
+
+
+
+cached_grounding_emotion_dict = {} # to avoid recomputing
+cached_emotions_dict = {} # to avoid recomputing
+
+def get_all_emotions(filepath, model, cached_grounding_emotion_dict, cached_emotions_dict):
+    emotions = cached_emotions_dict.get(filepath)
+    grounding_emotion = cached_grounding_emotion_dict.get(filepath)
+    if emotions is None:
+        grounding_emotion, emotions = get_all_emotions_in_image(filepath, model)
+        cached_grounding_emotion_dict[filepath] = grounding_emotion
+        cached_emotions_dict[filepath] = emotions
+    return grounding_emotion, emotions
+
+def get_all_emotions_in_image(filepath, model):
+    with Image.open(filepath).convert('RGB') as img:
+
+        img = transformation(img).unsqueeze(0)# unsqueeze to add artificial first dimension
+        
+        # emotion detection
+        emotion_vector = model(img) # apply the model
+        emotion_vector = np.exp(emotion_vector.detach().numpy()) # calculate probabilities
+        sorted_indices = (-emotion_vector).argsort()[0] # sort from most to least likely
+        emotions = [(IDX_TO_EMOTION[ind], emotion_vector[0][ind]) for ind in sorted_indices]
+        #construct the csv line
+        #emotions_df['image_file'].append(filename)
+        grounding_emotion = emotions[0][0]
+
+        return grounding_emotion, emotions
+
+
+
+
+################### utilities
+
+#### Artemis emotions:
+ARTEMIS_EMOTIONS = ['amusement', 'awe', 'contentment', 'excitement',
+                    'anger', 'disgust',  'fear', 'sadness', 'something else']
+EMOTION_TO_IDX = {e: i for i, e in enumerate(ARTEMIS_EMOTIONS)}
+IDX_TO_EMOTION = {EMOTION_TO_IDX[e]: e for e in EMOTION_TO_IDX}
+
+
+### Artemis image preprocessing
+
+#from artemis.in_out.neural_net_oriented import image_transformation
+import torchvision.transforms as transforms
+image_net_mean = [0.485, 0.456, 0.406]
+image_net_std = [0.229, 0.224, 0.225]
+
+def image_transformation(img_dim, lanczos=True):
+    """simple transformation/pre-processing of image data."""
+
+    if lanczos:
+        resample_method = Image.LANCZOS
+    else:
+        resample_method = Image.BILINEAR
+
+    normalize = transforms.Normalize(mean=image_net_mean, std=image_net_std)
+    img_transforms = dict()
+    img_transforms['train'] = transforms.Compose([transforms.Resize((img_dim, img_dim), resample_method),
+                                                  transforms.ToTensor(),
+                                                  normalize])
+
+    # Use same transformations as in train (since no data-augmentation is applied in train)
+    img_transforms['test'] = img_transforms['train']
+    img_transforms['val'] = img_transforms['train']
+    img_transforms['rest'] = img_transforms['train']
+    return img_transforms
+
+transformation = image_transformation(255)['train']
+
+### Artemis load model
+
+#from artemis.in_out.neural_net_oriented import torch_load_model
+import warnings
+def torch_load_model(checkpoint_file, map_location=None):
+    """ Wrap torch.load to catch standard warning of not finding the nested implementations.
+    :param checkpoint_file:
+    :param map_location:
+    :return:
+    """
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore")
+        model = torch.load(checkpoint_file, map_location=map_location)
+    return model
+
+
+
+########
+
+
+######### performing emotion detection
+
+def artemis_emotions_detection(input_file, output_file):
+    checkpoint_path = get_checkpoint_path(output_file)
+    cached_grounding_emotion_dict = load_checkpoint_grounding_emotion(checkpoint_path)
+    cached_emotions_dict = load_checkpoint_emotions(checkpoint_path)
+
+    #load the model
+    # device = torch.device("cuda:" + str(0) if torch.cuda.is_available() else "cpu") # it is not working with gpus, only cpu :/
+    device =torch.device("cpu")
+    model = torch_load_model(img2emo_model_path, map_location=device)   
+    
+    recognized_grounding_emotion_per_image = []
+    recognized_emotions_per_image = []
+    processed_files = set(cached_emotions_dict.keys())
+
+    df = pd.read_csv(input_file)
+
+    iterable_list = list(enumerate( df['image_file']))
+    
+    for elem in tqdm(iterable_list):
+        idx = elem[0]
+        filepath = elem[1]
+
+        #save checkpoint every 50 files
+        if (not (len(processed_files) % 49) 
+            ): 
+            print(f"Images processed: {len(processed_files)}")
+            save_checkpoint(
+                checkpoint_path,
+                df.iloc[:idx],  
+                recognized_grounding_emotion_per_image, 
+                recognized_emotions_per_image
+            )
+
+        grounding_emotion, emotions = get_all_emotions(
+            filepath, 
+            model, 
+            cached_grounding_emotion_dict, 
+            cached_emotions_dict
+        )
+        
+        recognized_grounding_emotion_per_image.append(grounding_emotion)
+        recognized_emotions_per_image.append(emotions)
+        processed_files.add(filepath)
+
+    recognized_grounding_emotion_per_image = pd.Series(recognized_grounding_emotion_per_image)
+    recognized_emotions_per_image = pd.Series(recognized_emotions_per_image)
+
+    return recognized_grounding_emotion_per_image, recognized_emotions_per_image
+
+    
+import argparse
+
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser(prog="Artemis emotion detection",
+                                     description='Recognizes the emotions per image in an image list')
+    
+    parser.add_argument("--input_file", "-in", metavar='in', type=str, nargs=1,
+                        help='input file containing images-paths for emotion detection.',
+                             #default=[default_painting_folder]
+                             )
+    parser.add_argument("--output_file", "-out", metavar='out', type=str, nargs=1,
+                        help='output file containing images-paths + grounding (main) emotion + ranked emotions'
+                        #default=[default_interpretation_folder]
+                         )
+    parser.add_argument("--model_path", "-mp", metavar='mp', type=str, nargs=1,
+                        help='artemis img2emo model path'
+                        #default=[default_interpretation_folder]
+                         )
+                         
+    args = parser.parse_args()
+    input_csv_file = args.input_file[0]
+    output_csv_file = args.output_file[0]
+
+    #where is the image to emotion classifier?
+    img2emo_model_path = args.model_path[0]
+
+    print(">>> input file: " , input_csv_file)
+    print(">>> output file: ", output_csv_file)
+    print(">>> img to emotion model path: ", img2emo_model_path)
+
+    # perform object recognition
+    recognized_grounding_emotion_per_image, recognized_emotions_per_image = artemis_emotions_detection(input_csv_file, output_csv_file)
+    
+    # add a column with the recognized objects
+    output_df = pd.read_csv(input_csv_file)
+    output_df['grounding_emotion'] = recognized_grounding_emotion_per_image
+    output_df['emotions'] = recognized_emotions_per_image
+    
+    output_df.to_csv(output_csv_file,
+        index= False, # don't write a new 'Index' column
+    )

imageprocessing/img2emo.pt

@@ -0,0 +1,3 @@
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+oid sha256:ef75eeb5150b2c68e435848a3501d74f7420afe89aed11b23b7e0fc77045a07a
+size 85505075