优化 giftool 的截取逻辑
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This commit is contained in:
2025-10-21 18:31:14 +08:00
parent c94db33b11
commit f9a0249772
2 changed files with 201 additions and 127 deletions

View File

@ -1,10 +1,10 @@
import re
from io import BytesIO
import PIL.Image
from nonebot import on_message
from nonebot.adapters import Bot
from nonebot_plugin_alconna import (Alconna, Args, Image, Option, UniMessage,
on_alconna)
from nonebot_plugin_alconna import Alconna, Args, Image, Option, UniMessage, on_alconna
from konabot.common.nb.exc import BotExceptionMessage
from konabot.common.nb.extract_image import PIL_Image
@ -29,15 +29,17 @@ def parse_timestamp(tx: str) -> float | None:
return res
cmd_giftool = on_alconna(Alconna(
"giftool",
Args["img", Image | None],
Option("--ss", Args["start_point", str]),
Option("--frames:v", Args["frame_count", int]),
Option("-t", Args["length", str]),
Option("-to", Args["end_point", str]),
Option("--speed", Args["speed_factor", float], default=1.0, alias=["-s"]),
))
cmd_giftool = on_alconna(
Alconna(
"giftool",
Args["img", Image | None],
Option("--ss", Args["start_point", str]),
Option("--frames:v", Args["frame_count", int]),
Option("-t", Args["length", str]),
Option("-to", Args["end_point", str]),
Option("--speed", Args["speed_factor", float], default=1.0, alias=["-s"]),
)
)
@cmd_giftool.handle()
@ -80,81 +82,66 @@ async def _(
if not getattr(image, "is_animated", False):
raise BotExceptionMessage("错误输入的不是动图GIF")
frames = []
durations = []
total_duration = 0.0
##
# 从这里开始,采样整个 GIF 图
frames: list[PIL.Image.Image] = []
durations: list[float] = []
try:
for i in range(getattr(image, "n_frames")):
image.seek(i)
frames.append(image.copy())
duration = image.info.get("duration", 100) # 单位:毫秒
duration = image.info.get("duration", 100) / 1000
durations.append(duration)
total_duration += duration / 1000.0 # 转为秒
except EOFError:
pass
if not frames:
raise BotExceptionMessage("错误:读取 GIF 帧失败")
# 采样结束
def time_to_frame_index(target_time: float) -> int:
if target_time <= 0:
return 0
cum = 0.0
for idx, dur in enumerate(durations):
cum += dur / 1000.0
if cum >= target_time:
return min(idx, len(frames) - 1)
return len(frames) - 1
start_frame = 0
end_frame = len(frames) - 1
if ss is not None:
start_frame = time_to_frame_index(ss)
if to is not None:
end_frame = time_to_frame_index(to)
if end_frame < start_frame:
end_frame = start_frame
elif t is not None:
end_time = (ss or 0.0) + t
end_frame = time_to_frame_index(end_time)
if end_frame < start_frame:
end_frame = start_frame
##
# 根据开始、结束时间或者帧数量来裁取 GIF 图
start_frame = max(0, start_frame)
end_frame = min(len(frames) - 1, end_frame)
selected_frames = frames[start_frame : end_frame + 1]
selected_durations = durations[start_frame : end_frame + 1]
begin_time = ss or 0
end_time = sum(durations)
end_time = min(begin_time + (t or end_time), to or end_time, end_time)
if frame_count is not None and frame_count > 0:
if frame_count >= len(selected_frames):
pass
else:
step = len(selected_frames) / frame_count
sampled_frames = []
sampled_durations = []
for i in range(frame_count):
idx = int(i * step)
sampled_frames.append(selected_frames[idx])
sampled_durations.append(
sum(selected_durations) // len(selected_durations)
)
selected_frames = sampled_frames
selected_durations = sampled_durations
accumulated = 0.0
status = 0
output_img = BytesIO()
sel_frames: list[PIL.Image.Image] = []
sel_durations: list[float] = []
adjusted_durations = [
dur / speed_factor for dur in selected_durations
]
for i in range(len(frames)):
frame = frames[i]
duration = durations[i]
if status == 0:
if accumulated + duration > begin_time:
status = 1
sel_frames.append(frame)
sel_durations.append(accumulated + duration - begin_time)
elif status == 1:
if accumulated + duration > end_time:
sel_frames.append(frame)
sel_durations.append(end_time - accumulated)
break
sel_frames.append(frame)
sel_durations.append(duration)
accumulated += duration
##
# 加速!
sel_durations = [dur / speed_factor * 1000 for dur in durations]
rframes = []
rdur = []
acc_mod_20 = 0
for i in range(len(selected_frames)):
fr = selected_frames[i]
du: float = adjusted_durations[i]
for i in range(len(sel_frames)):
fr = sel_frames[i]
du = round(sel_durations[i])
if du >= 20:
rframes.append(fr)
@ -170,10 +157,12 @@ async def _(
if acc_mod_20 >= 20:
acc_mod_20 = 0
if len(rframes) == 1 and len(selected_frames) > 1:
rframes.append(selected_frames[max(2, len(selected_frames) // 2)])
if len(rframes) == 1 and len(sel_frames) > 1:
rframes.append(sel_frames[max(2, len(sel_frames) // 2)])
rdur.append(20)
##
# 收尾:看看透明度这块
transparency_flag = False
for f in rframes:
if f.mode == "RGBA":
@ -186,12 +175,13 @@ async def _(
tf = {}
if transparency_flag:
tf['transparency'] = 0
tf["transparency"] = 0
if is_rev:
rframes = rframes[::-1]
rdur = rdur[::-1]
output_img = BytesIO()
if rframes:
rframes[0].save(
output_img,