6 ms·

So which of these actually spell the color they represent (or something closely related)? From a quick glance, I have no found any. Do color-words like that exi

So which of these actually spell the color they represent (or something closely related)? From a quick glance, I have no found any. Do color-words like that exist in other languages maybe?

magneticnorth 4y ago
A couple more I spotted: #ACAC1A is a shade of green and Acacia is a type of tree. #57061E (stogie) is dark brown, and a stogie is a cigar.
sisk 4y ago
#B00B00 (dark red) was my favorite
- ufo 4y ago
  Great color for errors!
stingrae 4y ago
maybe #5EABED, which is a shade of blue?
btown 4y ago
#1C1E57 (ICIEST) is dark blue, which could hold true in certain contexts! #DEBA65 (DEBAGS) is brown, much like de color of de bags made of de paper. And on a related and exceptionally juvenile note, it should be very possible - and frankly obligatory, for those in fashion tech companies reading this - to create and sell a #B00B1E colored bra.
- TheSpiceIsLife 4y ago
  Tangentially related, and equally juvenile, I own the telephone number in Australia: 08 80087355 Still gives me a chuckle. Grow up.
  - idontpost 4y ago
    RIP your voicemail
    - phabricator 4y ago
      It's 2022: RIP the concept of voicemail
      - mitchdoogle 4y ago
        You think the concept of people leaving audio messages to one another is dead? That seems like something that will never die out.
        rolph 4y ago
        in my circle its common to email mp3 attachments
        scubbo 4y ago
        The concept of people leaving audio messages _with a reasonable expectation that someone will listen to them_ is (thankfully) dying out, at least among my social circles. You can leave a message if you want, I'm not going to listen to it. The only entities that make unexpected phone calls are scammers and bots.
        Smithalicious 4y ago
        I get spam calls but I never get spam voice mails. As such I never pick up unexpected calls but I do listen to messages. Might be a regional thing?
        scubbo 4y ago
        Given that I never get ham voice calls, it is reasonable for me to assume that any voice mails that I receive are therefore spam (but, no, you're right, I don't recall ever noticing a spam voice mail. But then I wouldn't notice one, whether it existed or not, because I don't check them)
failTide 4y ago
#CABB1E is kind of like a taxicab yellow
cecilpl2 4y ago
#C0A575 (coasts) is a sandy-brown beach color. #6E0DE5 (geodes) definitely has that deep purple color you think of. And my favorite, #5A6E57 (sagest) is about as close to the color sage as you can get.
kbd 4y ago
#A55E55 (asses) is brown. Oh... wait.
- withinboredom 4y ago
  There is a large population of brown asses in the world.
  - mauvehaus 4y ago
    The issues isn't the color of the asses, but rather that the word spelled is assess. As in, the tax assessor is coming to assess our property now that we put on that addition. I expect our assessment to go up.
    - 867-5309 4y ago
      just make sure you're wearing brown pants when you read the bill
mbil 4y ago
Good question. I thought of an algorithm to find the hex word colors that most closely match the color they represent... Basically: get the color of the _word_ by doing an image search and extracting the dominant color from the first image result. Then compare that color to the hex color (in CIELAB color space) to get the color difference. Track the hex words with lowest difference. Here's a rough impl in Python: import sys import os import heapq import requests from google.cloud import vision from colormath.color_objects import sRGBColor, LabColor from colormath.color_conversions import convert_color from colormath.color_diff import delta_e_cie2000 from bs4 import BeautifulSoup def download_image_for_query(query): search_key = os.getenv("GOOGLE_CUSTOM_SEARCH_ENGINE_KEY") search_engine_id = os.getenv("GOOGLE_CUSTOM_SEARCH_ENGINE_ID") resp = requests.get( f"https://www.googleapis.com/customsearch/v1?key={search_key}&cx={search_engine_id}&q={query}&searchType=image" ) img_url = resp.json()["items"][0]["link"] img_content = requests.get(img_url).content return img_content def dominant_rgb_colors(image_content, num_colors=1): vision_client = vision.ImageAnnotatorClient() image = vision.Image(content=image_content) response = vision_client.annotate_image({"image": image}) return [ (int(c.color.red), int(c.color.green), int(c.color.blue)) for c in response.image_properties_annotation.dominant_colors.colors ][:num_colors] # class to store hex word and calculate the difference from "true" image, based on image search class HeapibleHexWord: def generate_rgb_version(self): return tuple(int(self.hex_version.lstrip("#")[i:i+2], 16) for i in (0, 2, 4)) def __init__(self, hex_version, english_version): self.hex_version = hex_version self.english_version = english_version self.rgb_version = self.generate_rgb_version() self.delta_from_true = float("inf") def calculate_delta_from_true(self): true_rgb = sRGBColor(*self.rgb_version) query = self.english_version img_content = download_image_for_query(query) test_rgb = sRGBColor(*dominant_rgb_colors(img_content)[0]) # via http://hanzratech.in/2015/01/16/color-difference-between-2-colors-using-python.html delta = delta_e_cie2000( convert_color(true_rgb, LabColor), convert_color(test_rgb, LabColor) ) self.delta_from_true = delta def __lt__(self, other): return self.delta_from_true < other.delta_from_true # scrape words from hexwords site hexwords_url = 'https://hexwords.netlify.app/' hexwords_page = requests.get(hexwords_url) soup = BeautifulSoup(hexwords_page.text, 'html.parser') buttons = soup.find_all('button', class_='svelte-1m9ptdb') hex_words = [] for button in buttons: if button.text == '': continue hex_version, _, english_version = button.text.split("\n") hex_words.append((hex_version, english_version.replace("(", "").replace(")", ""))) # iterate over the hex words, calculating the color diff between the word's hex # color and the "true" color based on image search hex_words_heap = [] heapq.heapify(hex_words_heap) NUM_WORDS = 10 # looks like throttled at some point for i, hex_word in enumerate(hex_words[:NUM_WORDS]): print(f"working on {i}: {hex_word}") heapible_hex_word = HeapibleHexWord(*hex_word) heapible_hex_word.calculate_delta_from_true() heapq.heappush(hex_words_heap, heapible_hex_word) # popping from the min heap yields hexwords with smallers difference from true color heapq.heappop(hex_words_heap).english_version
swid 4y ago
How many colors do you typically identify or would be willing to accept? Somewhere between 10 and 25 would be sufficient… not every word will have a color association, but many will have more than one. I think you need to be pretty strict to not find a match after 50 words.
bee_rider 4y ago
Kind of a stretch, but #B05535 (bosses) and #BE57ED (bested) are both sort of purplish colors that looter games like Borderlands sometimes use for "pretty rare, but not unique" items (which would typically be dropped by a boss monsters when you defeat them).
davchana 4y ago
Similar things in a number's value v/s its number of characters I think is called True Number, & only 4 is a true number like 4 value & FOUR has exact 4 letters.
SamBam 4y ago
#D0661E - a nice brown doggie. #CA771E - brown cattle. #C10ACA - a purple cloaca. #C017A1 - coital, similarly purplish pink. Lots of blues and greens starting with #5EA... (Sea...). #5EABED (Seabed), #5EABEE (Seabee), #5EAD06 (Seadog) and #5EA by itself. (I used https://hex-colours.netlify.app/ https://hex-colours.netlify.app/, which looks like it was the original from another comment, and allows you to search pieces of words.)
wwilim 4y ago
#ACCE55 is green and #F1A5C0 is pinkish red, great colors for a login prompt
- layer8 4y ago
  And then #1060FF for logoff.
rhplus 4y ago
SEABED - blue CASSIS - purplish pink berry color
donpott 4y ago
A bit of a stretch, but I remarked upon #ACE71C (acetic), which is an oily, vinegary green
myrmidon 4y ago
#AC1D1C is red, just like its PH test- that was the most satisfying one to me at first glance.
madcaptenor 4y ago
My children definitely have clothes in colors close to #BAB1E5. #B00B00 kind of looks like blood.
jsf01 4y ago
5EABED (a blue) and B00B00 (blood red) were the best matches I found
CamelRocketFish 4y ago
#C0C0A5 (COCOAS) Is brown

So which of these actually spell the color they represent (or something closely related)? From a quick glance, I have no found any. Do color-words like that exist in other languages maybe?

magneticnorth 4y ago

A couple more I spotted: #ACAC1A is a shade of green and Acacia is a type of tree. #57061E (stogie) is dark brown, and a stogie is a cigar.

sisk 4y ago

#B00B00 (dark red) was my favorite

ufo 4y ago
Great color for errors!

stingrae 4y ago

maybe #5EABED, which is a shade of blue?

btown 4y ago

#1C1E57 (ICIEST) is dark blue, which could hold true in certain contexts! #DEBA65 (DEBAGS) is brown, much like de color of de bags made of de paper. And on a related and exceptionally juvenile note, it should be very possible - and frankly obligatory, for those in fashion tech companies reading this - to create and sell a #B00B1E colored bra.

TheSpiceIsLife 4y ago
Tangentially related, and equally juvenile, I own the telephone number in Australia: 08 80087355 Still gives me a chuckle. Grow up.
- idontpost 4y ago
  RIP your voicemail
  - phabricator 4y ago
    It's 2022: RIP the concept of voicemail
    - mitchdoogle 4y ago
      You think the concept of people leaving audio messages to one another is dead? That seems like something that will never die out.
      - rolph 4y ago
        in my circle its common to email mp3 attachments
      - scubbo 4y ago
        The concept of people leaving audio messages _with a reasonable expectation that someone will listen to them_ is (thankfully) dying out, at least among my social circles. You can leave a message if you want, I'm not going to listen to it. The only entities that make unexpected phone calls are scammers and bots.
        Smithalicious 4y ago
        I get spam calls but I never get spam voice mails. As such I never pick up unexpected calls but I do listen to messages. Might be a regional thing?
        scubbo 4y ago
        Given that I never get ham voice calls, it is reasonable for me to assume that any voice mails that I receive are therefore spam (but, no, you're right, I don't recall ever noticing a spam voice mail. But then I wouldn't notice one, whether it existed or not, because I don't check them)

failTide 4y ago

#CABB1E is kind of like a taxicab yellow

cecilpl2 4y ago

#C0A575 (coasts) is a sandy-brown beach color. #6E0DE5 (geodes) definitely has that deep purple color you think of. And my favorite, #5A6E57 (sagest) is about as close to the color sage as you can get.

kbd 4y ago

#A55E55 (asses) is brown. Oh... wait.

withinboredom 4y ago
There is a large population of brown asses in the world.
- mauvehaus 4y ago
  The issues isn't the color of the asses, but rather that the word spelled is assess. As in, the tax assessor is coming to assess our property now that we put on that addition. I expect our assessment to go up.
  - 867-5309 4y ago
    just make sure you're wearing brown pants when you read the bill

mbil 4y ago

Good question. I thought of an algorithm to find the hex word colors that most closely match the color they represent... Basically: get the color of the _word_ by doing an image search and extracting the dominant color from the first image result. Then compare that color to the hex color (in CIELAB color space) to get the color difference. Track the hex words with lowest difference. Here's a rough impl in Python: import sys import os import heapq import requests from google.cloud import vision from colormath.color_objects import sRGBColor, LabColor from colormath.color_conversions import convert_color from colormath.color_diff import delta_e_cie2000 from bs4 import BeautifulSoup def download_image_for_query(query): search_key = os.getenv("GOOGLE_CUSTOM_SEARCH_ENGINE_KEY") search_engine_id = os.getenv("GOOGLE_CUSTOM_SEARCH_ENGINE_ID") resp = requests.get( f"https://www.googleapis.com/customsearch/v1?key={search_key}&cx={search_engine_id}&q={query}&searchType=image" ) img_url = resp.json()["items"][0]["link"] img_content = requests.get(img_url).content return img_content def dominant_rgb_colors(image_content, num_colors=1): vision_client = vision.ImageAnnotatorClient() image = vision.Image(content=image_content) response = vision_client.annotate_image({"image": image}) return [ (int(c.color.red), int(c.color.green), int(c.color.blue)) for c in response.image_properties_annotation.dominant_colors.colors ][:num_colors] # class to store hex word and calculate the difference from "true" image, based on image search class HeapibleHexWord: def generate_rgb_version(self): return tuple(int(self.hex_version.lstrip("#")[i:i+2], 16) for i in (0, 2, 4)) def __init__(self, hex_version, english_version): self.hex_version = hex_version self.english_version = english_version self.rgb_version = self.generate_rgb_version() self.delta_from_true = float("inf") def calculate_delta_from_true(self): true_rgb = sRGBColor(*self.rgb_version) query = self.english_version img_content = download_image_for_query(query) test_rgb = sRGBColor(*dominant_rgb_colors(img_content)[0]) # via http://hanzratech.in/2015/01/16/color-difference-between-2-colors-using-python.html delta = delta_e_cie2000( convert_color(true_rgb, LabColor), convert_color(test_rgb, LabColor) ) self.delta_from_true = delta def __lt__(self, other): return self.delta_from_true < other.delta_from_true # scrape words from hexwords site hexwords_url = 'https://hexwords.netlify.app/' hexwords_page = requests.get(hexwords_url) soup = BeautifulSoup(hexwords_page.text, 'html.parser') buttons = soup.find_all('button', class_='svelte-1m9ptdb') hex_words = [] for button in buttons: if button.text == '': continue hex_version, _, english_version = button.text.split("\n") hex_words.append((hex_version, english_version.replace("(", "").replace(")", ""))) # iterate over the hex words, calculating the color diff between the word's hex # color and the "true" color based on image search hex_words_heap = [] heapq.heapify(hex_words_heap) NUM_WORDS = 10 # looks like throttled at some point for i, hex_word in enumerate(hex_words[:NUM_WORDS]): print(f"working on {i}: {hex_word}") heapible_hex_word = HeapibleHexWord(*hex_word) heapible_hex_word.calculate_delta_from_true() heapq.heappush(hex_words_heap, heapible_hex_word) # popping from the min heap yields hexwords with smallers difference from true color heapq.heappop(hex_words_heap).english_version

swid 4y ago

How many colors do you typically identify or would be willing to accept? Somewhere between 10 and 25 would be sufficient… not every word will have a color association, but many will have more than one. I think you need to be pretty strict to not find a match after 50 words.

bee_rider 4y ago

Kind of a stretch, but #B05535 (bosses) and #BE57ED (bested) are both sort of purplish colors that looter games like Borderlands sometimes use for "pretty rare, but not unique" items (which would typically be dropped by a boss monsters when you defeat them).

davchana 4y ago

Similar things in a number's value v/s its number of characters I think is called True Number, & only 4 is a true number like 4 value & FOUR has exact 4 letters.

SamBam 4y ago

#D0661E - a nice brown doggie. #CA771E - brown cattle. #C10ACA - a purple cloaca. #C017A1 - coital, similarly purplish pink. Lots of blues and greens starting with #5EA... (Sea...). #5EABED (Seabed), #5EABEE (Seabee), #5EAD06 (Seadog) and #5EA by itself. (I used https://hex-colours.netlify.app/ https://hex-colours.netlify.app/, which looks like it was the original from another comment, and allows you to search pieces of words.)

wwilim 4y ago

#ACCE55 is green and #F1A5C0 is pinkish red, great colors for a login prompt

layer8 4y ago
And then #1060FF for logoff.

rhplus 4y ago

SEABED - blue CASSIS - purplish pink berry color

donpott 4y ago

A bit of a stretch, but I remarked upon #ACE71C (acetic), which is an oily, vinegary green

myrmidon 4y ago

#AC1D1C is red, just like its PH test- that was the most satisfying one to me at first glance.

madcaptenor 4y ago

My children definitely have clothes in colors close to #BAB1E5. #B00B00 kind of looks like blood.

jsf01 4y ago

5EABED (a blue) and B00B00 (blood red) were the best matches I found

CamelRocketFish 4y ago

#C0C0A5 (COCOAS) Is brown