-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathframe_draw.py
217 lines (167 loc) · 8.13 KB
/
frame_draw.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
from PIL import Image, ImageDraw, ImageFont
from psd_tools import PSDImage
import functools
import logging
import time
import psutil
import os
logging.basicConfig(level=logging.INFO)
logging.getLogger('psd_tools.psd.image_resources').setLevel(logging.ERROR)
logging.getLogger('psd_tools.psd.tagged_blocks').setLevel(logging.ERROR)
def profile_resources(func):
def wrapper(*args, **kwargs):
# 获取当前进程
process = psutil.Process(os.getpid())
# 记录初始内存和CPU使用情况
start_memory = process.memory_info().rss / 1024 ** 2 # 以MB为单位
start_cpu_time = process.cpu_times()
start_time = time.time() # 记录初始时间
# 执行函数
result = func(*args, **kwargs)
# 记录结束内存和CPU使用情况
end_memory = process.memory_info().rss / 1024 ** 2
end_cpu_time = process.cpu_times()
end_time = time.time()
# 输出资源消耗
print(f"函数 '{func.__name__}' 执行时间: {end_time - start_time:.4f} 秒")
print(f"内存增加: {end_memory - start_memory:.4f} MB")
print(f"用户CPU时间: {end_cpu_time.user - start_cpu_time.user:.4f} 秒")
print(f"系统CPU时间: {end_cpu_time.system - start_cpu_time.system:.4f} 秒")
return result
return wrapper
def get_time(log=True, log_level=logging.INFO):
def decorator(f):
@functools.wraps(f)
def inner(*args, **kwargs):
s_time = time.time()
res = f(*args, **kwargs)
e_time = time.time()
elapsed_time = e_time - s_time
if log:
logging.log(log_level, '函数 {}耗时:{:.4f}秒'.format(f.__name__, elapsed_time))
return res
return inner
return decorator
# @get_time()
def process_layer(psd, replacements, final_image, psd_size=None):
global temp_index
if psd_size is None:
psd_size = psd.size
for layer in psd:
# 递归处理组
if layer.is_group() and layer.is_visible():
final_image = process_layer(layer, replacements, final_image, psd_size=psd_size)
else:
layer_image = layer.composite().convert("RGBA")
if layer.name in replacements and layer.is_visible():
if type(replacements[layer.name]) is not str:
if type(replacements[layer.name]) is int:
# 获取蒙版百分比
mask_percent = replacements[layer.name]
# 获取蒙版
mask = layer.mask.topil()
mask = mask.convert("L")
# 编辑蒙版
draw_mask = ImageDraw.Draw(mask)
draw_mask.rectangle([0, 0, mask.width, mask.height * (mask_percent / 100)], fill=0)
# 创建一个与PSD大小相同的空白图像,并将替换后的图像粘贴到目标图层的位置
replacement_layer = Image.new("RGBA", psd_size)
replacement_layer.paste(layer_image, layer.offset)
# 创建一个与裁剪图像大小相同的透明图像
alpha = Image.new("L", replacement_layer.size, 0)
position = layer.mask.bbox[:2] # (x0, y0)
# 将蒙版数据粘贴到 alpha 图像上
alpha.paste(mask, position)
# 将 alpha 应用于裁剪后的图像
replacement_layer = Image.composite(replacement_layer,
Image.new("RGBA", psd_size, (0, 0, 0, 0)), alpha)
final_image = Image.alpha_composite(final_image, replacement_layer)
continue
elif type(replacements[layer.name]) is bool:
if replacements[layer.name]:
pass
else:
continue
elif type(replacements[layer.name]) is list:
# 创建一个与PSD大小相同的空白图像
replacement_layer = Image.new("RGBA", psd_size)
# 新建文字图层
text_layer = Image.new("RGBA", layer.size)
draw = ImageDraw.Draw(text_layer)
fontstyle = ImageFont.truetype(replacements[layer.name][1], replacements[layer.name][2])
draw.text((0, 0), half_width_to_full_width(replacements[layer.name][0]), fill=(0, 0, 0, 255),
font=fontstyle)
# 将文字图层粘贴到目标图层的位置
replacement_layer.paste(text_layer, layer.offset)
# 将修改后的图层叠加到最终图像上
final_image = Image.alpha_composite(final_image, replacement_layer)
continue
new_image_path = replacements[layer.name]
new_image = Image.open(new_image_path).convert("RGBA")
new_image_resized = new_image.resize(layer.size)
# 创建一个与PSD大小相同的空白图像,并将替换后的图像粘贴到目标图层的位置
replacement_layer = Image.new("RGBA", psd_size)
replacement_layer.paste(new_image_resized, layer.offset)
# 处理蒙版
if layer.mask:
# 蒙版位置
bbox = layer.mask.bbox
position = (bbox[0], bbox[1]) # (x0, y0)
# size = (bbox[2] - bbox[0], bbox[3] - bbox[1]) # (width, height)
size = (bbox[2] - bbox[0], bbox[3] - bbox[1]) # (width, height)
# 获取蒙版的 alpha 通道数据
mask_data = layer.mask.topil()
mask_data = mask_data.convert("L")
# 创建一个与裁剪图像大小相同的透明图像
alpha = Image.new("L", replacement_layer.size, 0)
# 粘贴蒙版
alpha.paste(mask_data, position)
# 将 alpha 应用于裁剪后的图像
# replacement_layer.putalpha(alpha)
replacement_layer = Image.composite(replacement_layer, Image.new("RGBA", psd_size, (0, 0, 0, 0)),
alpha)
final_image = Image.alpha_composite(final_image, replacement_layer)
else:
# 保留其他图层
layer_temp = Image.new("RGBA", psd_size)
layer_temp.paste(layer_image, layer.offset)
final_image = Image.alpha_composite(final_image, layer_temp)
return final_image
def half_width_to_full_width(text):
# 半角转全角
rstring = ""
for t_char in text:
inside_code = ord(t_char)
if inside_code == 32: # 半角空格
inside_code = 12288
elif 32 <= inside_code <= 126:
inside_code += 65248
rstring += chr(inside_code)
return rstring
# @get_time()
@profile_resources
def draw_frame():
import warnings
warnings.filterwarnings("ignore", module="psd_tools")
psd_path = 'final_lite.psd'
# psd_path = 'text_test.psd'
psd = PSDImage.open(psd_path)
layer_name = ["UI_Chara_1", "UI_Chara_2", "UI_Chara_3"]
new_image_path = "UI_Chara_3.png"
layer_path = "top/All_chara/chara/1/chara/UI_Chara_405404"
final_image = Image.new("RGBA", psd.size)
# 图层替换定义
replacements = {
"User_Name": ["我去是舞萌痴AA","SEGA_MARUGOTHICDB.ttf",21.33],
"UI_Chara_1": "UI_Chara_1.png",
"UI_Chara_2": "UI_Chara_2.png",
"UI_Chara_3": "UI_Chara_3.png",
"background": "bg.png",
"UI_Icon_image": "UI_Icon.png",
"UI_Plate_409501": "UI_Plate.png",
"Leader_Star_Color": 50,
"Leader_Star_MAX": False
}
final_image = process_layer(psd, replacements, final_image)
final_image.save("output.png")
draw_frame()