Pointnet2_PyTorch
mdx-net
| Pointnet2_PyTorch | mdx-net | |
|---|---|---|
| 1 | 3 | |
| 1,399 | 156 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| 2 months ago | about 1 year ago | |
| Python | Python | |
| The Unlicense | MIT License |
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Pointnet2_PyTorch
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[D] Implementing custom functions in pytorch e.g. feature propagation (PointNet++)
Apologies if this isn't the right place to ask. But I'm currently studying point cloud-based networks like pointcloud++, and all the related 3d object detection networks like pointpillars, voxelnet, etc. While I (think) understand the algorithms like feature propagation in pointnet++. I'm having trouble understanding how would one implement them. Or Where could I learn about writing operations in cuda and making sure they are compatible with backprop?
mdx-net
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Ultimate Vocal Remover is "holy sh*t" level good
UVR does include support for demucs (including the latest version, v4); however, the model that OP is recommending is mdx-net, which is a completely different AI model. mdx-net can produce superior vocal stems, but it can separate into only two stems (vocals, other).
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(NameError: name 'trainer' is not defined) when i try to run auto_lr_find
The only thing i changed was auto_lr_find: False i set it to : True , here https://github.com/kuielab/mdx-net/blob/main/configs/trainer/minimal.yaml
What are some alternatives?
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
stemroller - Isolate vocals, drums, bass, and other instrumental stems from any song
spleeter - Deezer source separation library including pretrained models.
nn-template - Generic template to bootstrap your PyTorch project.
lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
unmixer - Create and explore isolated tracks from music files