AI prompts
base on Visualize pitch for a video # Pitch Visualizer
这是一个小小的Python脚本,可以把一段纯人声音频进行音高的可视化,然后和音频的原视频进行合并,
最终生成一段带有动态音高标注的视频。
## 开始之前
### FFmpeg
你需要[ffmpeg](https://ffmpeg.org/)。请确保在命令行输入`ffmpeg`可以正常调用ffmpeg,
或者你知道明确的ffmpeg的位置。
### Python requirements
建议大家在[虚拟环境](https://docs.python.org/zh-cn/3/library/venv.html)中工作
```
python -m venv venv
source venv/bin/activate
```
最简单的方式:
```
pip install -r requirements.txt
```
### 人声分离
这个脚本并不能帮你做人声分离,你需要用其他的软件或者库来完成这件事。
* [Ultimate Vocal Remover](https://ultimatevocalremover.com/) 是目前我用过效果最好的软件,免费
* [spleeter](https://github.com/deezer/spleeter) 是一个开源的人声分离库
## 使用
你需要准备两个文件
* 原始视频文件(.mp4)
* 从原始视频中分离的干声文件(.mp3)
为了画出准确的对比音高,你需要知道这首歌曲的调性(C或者F#之类)。在这个软件中,我们没有特意区别小调,
调性只是为了标注音阶。如果歌曲是小调,请使用其音阶对应的大调的调性。比如A小调对应的是C。
```
python gen_pitch.py --audio <voice.mp3> -t <tone> <video.mp3> -o <output.mp4>
# 举个例子
python gen_pitch.py --audio wjk_raw.mp3 -t E wjk.mp4 -o wjk_with_pitch.mp4
```
其中`-o`可以省略,默认是在输入视频的文件夹下建立另一个视频。
### 其他的选项
* `--ffmpeg` 可以指定你想用的ffmpeg,在你PATH中不存在ffmpeg的时候需要使用
* `--pitch_width` 设置音高图的宽度,默认是原始视频的一半
* `--pitch_position` 设置音高图的位置,默认是`top_right`
* `--min_pitch` 设置识别的最低的音,默认是`D2`
* `--max_pitch` 设置识别的最高的音,默认是`G5`
如果你对歌曲的音域比较了解,通过设置`--min_pitch`和`--max_pitch`可以有效增加音高识别的准确率,
同时还可以加快渲染速度。
## LICENSE
Copyright 2023 Tian Gao.
Distrubuted under the terms of the [Apache 2.0 license](https://github.com/gaogaotiantian/pitch-visualizer/blob/master/LICENSE)
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