def haishokuColor(img):
# dominant = Haishoku.getDominant(img)
# Haishoku.showDominant(img)
# print(dominant)
palette = Haishoku.getPalette(img)
x = []
y = []
for per, color in palette:
x.append(per)
y.append(color)
print('调色盘色彩比例：\n', palette)
Haishoku.showPalette(img)
def run_bot(reddit):
print("Obtaining Submissions...")
for comment in reddit.inbox.mentions(limit=None):
footer = "\n\n ^I'm a bot. | Creator: [u/JoshuaScript](https://www.reddit.com/u/JoshuaScript). | [Source Code](https://github.com/Joshuascript/Palette_Bot)"
#checks if the mention is unread, which is only the case if it hasn't been replied to
if comment.new:
try:
#calls the showPalette (which creates and saves the image) method on the image link
Haishoku.showPalette(comment.submission.url)
CLIENT_ID = config.imgur_id
PATH = haishoku.haillow.image_name
im = pyimgur.Imgur(CLIENT_ID)
uploaded_image = im.upload_image(
PATH,
title=
f"Color Palette for Reddit Post: {comment.submission.title} ({comment.submission.url})"
)
print(uploaded_image.title)
print(uploaded_image.link)
print(uploaded_image.size)
print(uploaded_image.type)
comment.reply(
f"\n\n Here is the color palette of this image visualized: {uploaded_image.link}. The color sizes are proportionate to their dominance in the image. {footer}"
)
#Marks the comment as read so it won't be replied to again
comment.mark_read()
print(
f"Replied to {comment.submission.title} ({comment.submission.url})"
)
#deletes generated palette image from local storage
os.remove(PATH)
except OSError as e:
comment.reply(
f"This is most likely a non-image post. Try mentioning me in a new comment and I may be able to get this post's palette if it is an image.{footer}"
)
print(
f"Comment was most likely on a non-image post ({e}) \n\n Title: {comment.submission.title}, Link: {comment.submission.url}"
)
comment.mark_read()
except TypeError as e:
comment.reply(
f"I was unable to get the palette of this image, most likely because it's a gif, which is currently unsupported.{footer}"
)
print(
f"Image was likely a gif ({e}) \n\n Title: {comment.submission.title}, Link: {comment.submission.url}"
)
comment.mark_read()
except Exception as e:
print(e.__class__.__name__ + e)
else:
continue
def generate(img_path,
palette_size,
freq_min=None,
debug=False,
show_palette=False):
"""returns a list of RGB tuples representing a palette of palette_size numbers of color, by maximum use"""
try:
full_palette = Haishoku.getPalette(str(img_path))
map_palette = full_palette[:palette_size]
if show_palette:
Haishoku.showPalette(str(img_path))
except FileNotFoundError:
print(
f"File {img_path} not found, be sure this includes the full or relative path - the folders containing the file, not just the file's name."
)
exit()
if debug:
print(f' ► Full Palette (Freq,RGB) = {full_palette}')
print(f' ► Map Reduced Palette (Freq,RGB) = {map_palette}')
print(f' ► Autopalette threshold = {freq_min}')
if freq_min:
output = []
if map_palette[0][0] < freq_min:
# return dominant color if no colors exceed threshold
output = [map_palette[0][1]]
print(' =Sample Warning: ')
print(
f' No color exceeds in {round(freq_min*100,1)}% sample tile. Color {output[0]} represents highest porportion of sample ({map_palette[0][0]*100}%) and will be used as result.'
)
else:
# filter colors below freq_min
for freq, rgb in map_palette:
if freq >= freq_min:
output.append(rgb)
if debug:
print(f' ► Sample tile palette length: {len(output)}')
else:
# return only the RGB values
output = dict(map_palette).values()
return output
def main():
path = "/Users/wujianming/Desktop/WechatIMG18547.jpeg"
# path = "http://wx2.sinaimg.cn/large/89243dfbly1ffoekfainzj20dw05k0u7.jpg"
# getPalette api
palette = Haishoku.getPalette(path)
# getDominant api
dominant = Haishoku.getDominant(path)
# showPalette api
Haishoku.showPalette(path)
# showDominant api
# Haishoku.showDominant(path)
# Haishoku object
h = Haishoku.loadHaishoku(path)
print(h.palette)
print(h.dominant)
def main():
path = "demo_01.png"
# getPalette api
palette = Haishoku.getPalette(path)
print(palette)
# getDominant api
dominant = Haishoku.getDominant(path)
print(dominant)
# showPalette api
Haishoku.showPalette(path)
# showDominant api
Haishoku.showDominant(path)
# Haishoku object
h = Haishoku.loadHaishoku(path)
print(h.image)
print(h.palette)
print(h.dominant)
def main():
url = "https://img3.doubanio.com/lpic/s27028282.jpg"
r = requests.get(url)
path = BytesIO(r.content)
# getPalette api
palette = Haishoku.getPalette(path)
print(palette)
# getDominant api
dominant = Haishoku.getDominant(path)
print(dominant)
# showPalette api
Haishoku.showPalette(path)
# showDominant api
Haishoku.showDominant(path)
# Haishoku object
h = Haishoku.loadHaishoku(path)
print(h.palette)
print(h.dominant)
def myNewSize(a1):
width = a1.size[0]
height = a1.size[1]
while (width > 500 or height > 500):
width = 0.9 * width
height = 0.9 * height
return width, height
# 窗口居中
palette = Haishoku.getPalette(fp)
palette2 = Haishoku.getPalette2(fp)
#导入
palettePic1 = Haishoku.showPalette(fp)
palettePic2 = Haishoku.showPalette2(fp)
# 配色可视化
colorF = toPalette(palette)
colorF2 = toPalette(palette2)
window = tk.Tk()
window.title('调色盘')
window.configure(background='#323232')
pic = Image.open(fp)
[w, h] = myNewSize(pic)
pic = pic.resize((int(w), int(h)), Image.ANTIALIAS)
photo = ImageTk.PhotoImage(pic)
from haishoku.haishoku import Haishoku
from PIL import Image
import pprint
img_path = 'images/kershisnik.jpg'
haishoku = Haishoku.loadHaishoku(img_path)
Haishoku.showPalette(img_path)
palette = Haishoku.getPalette(img_path)
print('palette: {}'.format(palette))
