Comments (5)
Hi currently there is no way to avoid rust and its also no plan to support it. I might consider a patch to support python only if I think it is maintainable.
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why is there no option of doing the data loading in python with pytorch?
from deepfilternet.
Hi,thank you for your open works
Is the current updated code pyDF and pyDF-data can avoid the execution of RUST code? meaning that pyDF-data can replace the function of RUST and run directly on python?
from deepfilternet.
Not sure what you want to say, but nothing has changed, pyDF* are both based on the Rust module. This will most likely not change anytime.
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This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 7 days.
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Related Issues (20)
- How to use the pretrain-model? HOT 1
- audio super resolution HOT 1
- Clarification on Training Configuration for DeepFilterNet3 (dataset.cfg) HOT 1
- Cannot use DeepFilterNet2 model (CLI) HOT 1
- Pre-built binaries of `libdeepfilter` (C API) HOT 2
- Can't reproduce DeepFilterNet2 and DeepFilterNet3 results on Voicebank Demand test set HOT 6
- Unable to use libDF due to debug checks failing: duplicate name /convt3/Conv.bias HOT 1
- Error(s) in loading state_dict for DfNet: Unexpected key(s) in state_dict: "erb_comp.c", "erb_comp.mn". HOT 1
- Out-of-memory when running deepFilter on long audio files HOT 2
- Using ladspa with mono input produces an error HOT 1
- Pipewire filter-chain source support in Windows HOT 1
- Fine Tuning DeepFilterNet HOT 1
- Installation problem HOT 1
- requirement files installation problem HOT 1
- GPU Memory torch.cuda.OutOfMemoryError HOT 1
- [BUG] Only works with sample rate == 48000 HOT 3
- Multiple GPU training via DistributedDataParallel
- How to quantify the model
- 16k model training configuration and 16k pre-trained model
- RuntimeError: Couldn't find appropriate backend to handle uri <noisy_audio_file> and format None. HOT 1
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