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# Preprocess Scripts | |
--- | |
- Note : the order of these scripts is IMPORTANT. | |
- the preprocessing step is easy. but environment setting is not. please understand. | |
- If you encounter any problems, please do not hesitate to email me or open an issue to the github. | |
1. Transcribe piano wavs to midi | |
- You should transcribe {piano_cover_file.wav} -> {piano_cover_file.mid} | |
- I recommend you to use original codes from this repo : [High-resolution Piano Transcription with Pedals by Regressing Onsets and Offsets Times](https://github.com/qiuqiangkong/piano_transcription_inference) | |
- Instead, you can also you my docker script. | |
```bash | |
docker run -it --gpus all --rm -v /DIRECTORY_THAT_CONTAINS_PIANO_WAV/:/input -v /DIRECTORY_THAT_MIDI_OUTPUT/:/output jonghochoi/piano_transcribe:bytedance1 | |
``` | |
- If you are using GPU RTX 30XX or higher, this script may not work properly. It's because the version of pytorch is too low(1.4). | |
- then upgrade the version of pytorch in the docker.. | |
2. Estimate Pop's beats | |
```bash | |
python bpm_quantize.py DATA_DIR | |
``` | |
3. synchronize midi | |
```bash | |
python pop_align.py DATA_DIR | |
``` | |
4. get separated vocal track | |
```bash | |
python split_spleeter.py DATA_DIR | |
``` | |
5. caculate melody chroma accuracy | |
```bash | |
python melody_accuracy.py DATA_DIR | |
``` |