Update README.md

This commit is contained in:
Anjok07 2021-05-31 02:52:43 -05:00 committed by GitHub
parent e6207a203c
commit 63a105fad4
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -107,7 +107,7 @@ python 12_model_ens_inference.py -g 0 -s -i "INPUT"
### Ensembler
The ensembler has the ability to take 2 instrumental or vocal outputs generated by different models and combine the best results from both! Here is how to use it manually -
The ensembler has the ability to take 2 or more instrumental or vocal outputs generated by different models and combine the best results from all of them! Here is how to use it manually -
- For instrumental outputs, run the following command:
@ -121,7 +121,7 @@ python lib/spec_utils.py -a min_mag -m modelparams/1band_sr44100_hl512.json "INP
python lib/spec_utils.py -a max_mag -m modelparams/1band_sr44100_hl512.json "INPUT1" "INPUT2" -o "CHOOSEFILENAME"
```
To automate the ensembling process, please use the 'Ensembler-2to9-Outputs.bat' script reference below.
To automate the ensembling process, please use the 'Ensemble-Outputs.bat' script reference below.
### Windows Batch Files
@ -131,13 +131,11 @@ We included the following Windows batch files to help automate commands:
- From there you will be asked if you want TTA enabled, then prompted to type the letter associated with the model you wish to run and hit "enter".
- Once you hit enter, you will be asked fs you want an additional "deep extraction" instrumental output in addition to the 2 to be provided.
- Ensembler-2to9-Outputs.bat
- Simply drag up to 9 instrumental or vocal outputs into the batch script.
- Ensemble-Outputs.bat
- Simply drag the instrumental or vocal outputs you wish to ensemble into the batch script.
- From there you will be asked if the outputs are instrumental or not.
- Once you hit enter, you will be asked to enter the number of files dropped into the batch script.
- Once you hit enter, the script will take a moment to ensemble the outputs.
- The ensembled outputs can be found in the "ensembled" folder.
- **This script is going to be updated soon so that you won't have to manually enter the number of files dropped**
- **The ensembler will also be updated as a python script for cross platform compatibility as well.**
## Troubleshooting