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cretdadta.py
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cretdadta.py
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import glob
import json
import os
from concurrent.futures import ProcessPoolExecutor
from fontTools.ttLib import TTFont
from PIL import ImageFont, Image, ImageDraw
from tqdm import tqdm
class data_create():
def __init__(self,map_path,w_path,ttf_path,out):
self.map_path = map_path
self.w_path = w_path
self.ttf_path = ttf_path
self.out=out
with open(w_path, 'r', encoding='utf-8') as f:
# words = f.read()
words=json.loads(f.read())
with open(map_path, 'r', encoding='utf-8') as f:
# words = f.read()
mappi=json.loads(f.read())
jsonnn = {}
for i in words:
list1 = []
cc = words[i]
# list1.append(1)
for j in cc:
asda = mappi.get(j)
if asda is None:
list1.append(47)
continue
list1.append(asda)
list1.append(44)
jsonnn[i] = list1
self.wordd = jsonnn
self.tttfp=glob.glob(ttf_path+'/**.ttf')
# self.tttfp=os.listdir(ttf_path)
pass
def get_anc_c(self,):
# font = TTFont(path_ttfs)
# # 输出的uniMap是一个字典，key代表的unicode的int值，value代表unicode的名字
# uniMap = font['cmap'].tables[0].ttFont.getBestCmap()
# # print(ord(tocken) in uniMap.keys())
# tfss = ord(tocken) in uniMap.keys()
# text_size = 255 # text_size 是字号
# font = ImageFont.truetype(self.ttf_path + i, text_size)
# if tfss:
# imggg = self.get_img(ttstk, tocken)
# return tocken, imggg
rree=[]
for i in tqdm(self.tttfp):
rree.append(( i,self.out,i.split('\\')[-1],self.wordd))
# for i in self.tttfp:
with ProcessPoolExecutor(max_workers=8) as executor:
list(tqdm(executor.map(make_and_w,rree), desc='Preprocessing', total=len(self.tttfp)))
# make_and_w(i,'./i',i.split('\\')[-1],self.wordd)
# for j in self.wordd:
# print(j)
# pass
def make_and_w(cx):
f_path, out_path, ttfname, wm=cx
# print(f_path)
font = TTFont(f_path)
uniMap = font['cmap'].tables[0].ttFont.getBestCmap()
text_size = 255 # text_size 是字号
font = ImageFont.truetype(f_path, text_size)
if not os.path.exists(out_path+'/'+ttfname+'/'):
os.makedirs(out_path+'/'+ttfname+'/')
for i in wm:
tfss = ord(i) in uniMap.keys()
if not tfss:
continue
x, y = font.getsize(i)
y = max(y, 256)
x = max(x, 256)
cavv = Image.new('RGB', (x, y), (255, 255, 255))
cavvii = Image.new('RGB', (x, y), (255, 255, 255))
ddd = ImageDraw.Draw(cavv)
ddd.text((0, 0), i, font=font, fill='#000000')
img=cavv.resize((256, 256), Image.Resampling.LANCZOS)
if img ==cavvii: #判断白字
# print(i)
continue
# raise Exception('eeeeeeeeeeeeeeeeeee')
img.save(out_path+'/'+ttfname+'/'+i+'.png',)
pass
class data_test():
def __init__(self,map_path,w_path,ttf_path):
self.map_path = map_path
self.w_path = w_path
self.ttf_path = ttf_path
with open(w_path, 'r', encoding='utf-8') as f:
# words = f.read()
words=json.loads(f.read())
with open(map_path, 'r', encoding='utf-8') as f:
# words = f.read()
mappi=json.loads(f.read())
jsonnn = {}
for i in words:
list1 = []
cc = words[i]
# list1.append(1)
for j in cc:
asda = mappi.get(j)
if asda is None:
list1.append(47)
continue
list1.append(asda)
list1.append(44)
jsonnn[i] = list1
self.wordd = jsonnn
self.tttfp=glob.glob(ttf_path+'/**.ttf')
# self.tttfp=os.listdir(ttf_path)
pass
def get_anc_c(self,):
# font = TTFont(path_ttfs)
# # 输出的uniMap是一个字典，key代表的unicode的int值，value代表unicode的名字
# uniMap = font['cmap'].tables[0].ttFont.getBestCmap()
# # print(ord(tocken) in uniMap.keys())
# tfss = ord(tocken) in uniMap.keys()
# text_size = 255 # text_size 是字号
# font = ImageFont.truetype(self.ttf_path + i, text_size)
# if tfss:
# imggg = self.get_img(ttstk, tocken)
# return tocken, imggg
rree=[]
for i in tqdm(self.tttfp):
rree.append(( i,'./i',i.split('\\')[-1],self.wordd))
# for i in self.tttfp:
rree.reverse()
for i in rree:
print(i[2])
make_and_wT(i)
# with ProcessPoolExecutor(max_workers=4) as executor:
# list(tqdm(executor.map(make_and_w,rree), desc='Preprocessing', total=len(self.tttfp)))
def make_and_wT(cx):
f_path, out_path, ttfname, wm=cx
# print(f_path)
font = TTFont(f_path)
uniMap = font['cmap'].tables[0].ttFont.getBestCmap()
text_size = 255 # text_size 是字号
font = ImageFont.truetype(f_path, text_size)
if not os.path.exists(out_path+'/'+ttfname+'/'):
os.makedirs(out_path+'/'+ttfname+'/')
for i in tqdm(wm):
tfss = ord(i) in uniMap.keys()
if not tfss:
continue
x, y = font.getsize(i)
y = max(y, 256)
x = max(x, 256)
cavv = Image.new('RGB', (x, y), (255, 255, 255))
cavvii = Image.new('RGB', (x, y), (255, 255, 255))
ddd = ImageDraw.Draw(cavv)
ddd.text((0, 0), i, font=font, fill='#000000')
img=cavv.resize((256, 256), Image.Resampling.LANCZOS)
if img ==cavvii: #判断白字
# print(i)
continue
# raise Exception('eeeeeeeeeeeeeeeeeee')
# img.save(out_path+'/'+ttfname+'/'+i+'.png',)
# pass
#
if __name__=='__main__':
# aas=data_test(w_path='fix1.json', map_path='映射.json', ttf_path='./tds/')
aas = data_create(w_path='V2_dast.json', map_path='映射.json', ttf_path='./tds/',out='./opp')
aas.get_anc_c()