mpv-conf/svpflow-8b.vpy
2021-12-03 20:50:08 +08:00

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##此版通过统一转8bit大幅降低补帧消耗
import vapoursynth as vs
from vapoursynth import core
core = vs.core
#core.num_threads = 16 # 启用此项来自定义线程数
core.max_cache_size = 8192
super_params = "{pel:2,gpu:1,scale:{up:2,down:4}}"
##gpu数值1为开启显卡加速0为关闭。如异常使用核显加速参见下方gpuid的说明
analyse_params = "{block:{w:32,h:32,overlap:2},main:{levels:4,search:{type:4,distance:-8,coarse:{type:4,distance:-5,bad:{range:0}}},penalty:{plevel:1.3,pzero:110,pnbour:75}},refine:[{thsad:200,search:{type:4,distance:2}}]}"
smoothfps_params = "{rate:{num:60,den:1,abs:true},algo:21,gpuid:0,mask:{area:100},scene:{limits:{m1:1800,m2:3600,scene:5200,zero:100,blocks:45}}}"
##rate后设定目标帧率num/den的结果(分子分母最好使用整数,计算结果最好也是整数)当abs:true时指定为具体帧数值当abs:false时为补帧倍率vfr视频请使用倍帧来避免报错弹出
##gpuid用于指定哪张显卡辅助CPU加速可用数值为 (默认)0/11/12/21。双显卡笔记本在使用外屏时若掉帧则尝试改为21
def interpolate(clip):
clip_f = clip.resize.Point(format=vs.YUV420P8, dither_type="random")
super = core.svp1.Super(clip_f, super_params)
vectors = core.svp1.Analyse(
super["clip"], super["data"], clip_f, analyse_params)
smooth = core.svp2.SmoothFps(
clip_f, super["clip"], super["data"], vectors["clip"], vectors["data"], smoothfps_params, src=clip_f, fps=container_fps)
assume = core.std.AssumeFPS(
smooth, fpsnum=smooth.fps_num, fpsden=smooth.fps_den)
return assume
interpolate(video_in).set_output()