wzc19690120 发表于 2023-8-9 23:39:28

好的好的,对不起{:4_665:},麻烦您费心了,说实话今天第一次Ctrl+7之后真的打开了新世界的大门{:4_673:}

wzc19690120 发表于 2023-8-9 23:45:13

不好意思,尴尬了{:4_675:},是A4K{:4_670:},我没有问题了,我会多了解这方面的知识的,谢谢大佬

孤雨独火 发表于 2023-8-10 02:53:56

雨晴 发表于 2023-8-6 00:12
请问,HDR转SDR怎么改呢?显示器亮度只有250

我写个长文回复吧。

默认情况和默认参数下,mpv播放hdr片源就是正确的转换到sdr输出。
通常情况下,你不需要做修正。(懒人包的一些涉及参数只是改善了特定情况下的色偏)

你说片源暗,
这可能是由于 hdr-compute-peak 的不准确测光导致的,禁用它来用hdr10的静态元数据反而可能得到更明亮的输出结果。
这也可能是由于 tone-mapping 的默认算法 (一般使用的是 bt.2390)不匹配,切换不同的算法尝试。
这也可能是由于片源的制作参考白点非 203 导致的(这个案例参见紫罗兰剧场版和高达哈撒韦 https://github.com/hooke007/MPV_lazy/discussions/345 ),这种情况需要例外处理 target-peak=100 (调低 target-peak 的况下不建议使用其它 tone-mapping ,可能存在纹理错误的bug,由于已知的原因,大概也没人愿意去修了)

target-peak 不能作为常驻参数,它假定了sdr的白点基线,常驻它会影响所有sdr输出的画面亮度。把它放进profile或者用“单文件设置”处理,具体操作参见FAQ https://github.com/hooke007/MPV_lazy/wiki/0_FAQ#%E7%89%B9%E5%AE%9A%E5%8D%95%E4%B8%AA%E6%96%87%E4%BB%B6%E7%9A%84%E8%AE%BE%E7%BD%AE

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vo_gpu-next 在默认值的自动处理上相对 vo_gpu 是有明显改进与差异的。
理论上简单的切换到 gpu-next 而不动任何参数,就可以避免很多你觉得 “暗” 的情况。

坛友在 gpu-next 下也研究了一套不使用mpv内部映射的方案,也可以很好(也许更好)解决很多你觉得 “暗” 的情况。参见 https://github.com/hooke007/MPV_lazy/discussions/272 (前文的紫罗兰案例中的楼层里也有适配的操作示例)

w13543990944 发表于 2023-8-11 06:53:33

w13543990944 发表于 2023-8-9 17:14
额大佬 在求问一下
怎么按pgup或者pgdn都不能切换上下视频呢。。在input_uosc.conf里面设置 ...

我晕了 不给上传图片。。   

之前第一个问题的话我是在input_uosc.conf文件里面最后加了

PGUP         playlist-prev                #播放列表上一个
PGDWN   playlist-next                #播放列表下一个

这2行   但是没有反应。
第二个问题的话就是我设置了无边框但是退出没有保存   重新打开视频播放器还是有边框的样子
在mpv.conf这个文件里面我查了。

keep-open = yes
#ontop = yes
#border = no
autofit-smaller = 40%x40%

已经是没边框的了。 但是还是有。。不知道啥情况求问大佬。

w13543990944 发表于 2023-8-11 16:54:25

w13543990944 发表于 2023-8-11 06:53
我晕了 不给上传图片。。   

之前第一个问题的话我是在input_uosc.conf文件里面最后加了


{:4_685:}额。。。 看着有点晕   真小白。   #号 好像是屏蔽的意思。 边框的话 是搞定了。但是用

pgup喝pgdn还是不会弄前面也好像没有#号。。。

晨曦 发表于 2023-8-14 18:20:31

孤雨独火 发表于 2023-8-10 02:53
我写个长文回复吧。

默认情况和默认参数下,mpv播放hdr片源就是正确的转换到sdr输出。


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
你好,移除选项保存项目中的着色器条目,编辑 script-opts.confscript-opts-append = save_global_props-props=volume
是这样
#script-opts-append = save_global_props-save_mode=0
#script-opts-append = save_global_props-props=volume,glsl-shaders
#script-opts-append = save_global_props-cache_dir=~~/_cache/
还是这种方式呀

#script-opts-append = save_global_props-save_mode=0
script-opts-append = save_global_props-props=glsl-shaders
#script-opts-append = save_global_props-cache_dir=~~/_cache/


晨曦 发表于 2023-8-14 23:37:11

晨曦 发表于 2023-8-14 18:20
你好,移除选项保存项目中的着色器条目,编辑 script-opts.confscript-opts-append = save_global_props ...

#script-opts-append = save_global_props-save_mode=0
script-opts-append = save_global_props-props=volume
#script-opts-append = save_global_props-cache_dir=~~/_cache/
懂了,谢谢大佬。

w13543990944 发表于 2023-8-17 04:47:52

w13543990944 发表于 2023-8-11 16:54
额。。。 看着有点晕   真小白。   #号 好像是屏蔽的意思。 边框的话 是搞定了。但是用

pgup ...

{:4_684:} 我选择先签到等可以发图片或者附件再来问了

sunleifentian 发表于 2023-8-17 14:40:16

之前4070ti的时候,waifu2x是可以正常运行的,只是
1080p需要运行静态模型
1080p以下需要运行动态模型(也有可能相反,总之选对了就能用)
同时Noise要求为1
现在换了4090,发现waifu2x不论怎么改都跑不了了,
Could not read timing cache from:
C:/Users/85128/Desktop/mpv-lazy/mpv-lazy/vapoursynth64/plugins\models\waifu2x\upconv_7_anime_style_art_rgb\noise1_scale2.0x_model.onnx.1920x1080_fp16_no-tf32_trt-8501_I-fp16_O-fp16_NVIDIA-GeForce-RTX-4090_3bc8e344.engine.cache.
A new timing cache will be generated and written.
Global timing cache in use. Profiling results in this builder pass will be stored.
查了一下这个文件里没有4090的engine文件,4070ti的倒是有
不知道是什么原理{:5_265:}

fog 发表于 2023-8-18 08:10:55

本帖最后由 fog 于 2023-8-18 08:39 编辑

已解决。
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