unet3d
pip install unet3d to get single-file implementations of 3D UNet architectures for 3D image segmentation!
Usage 💡
Run a UNet3d...
import torch
from unet3d import UNet3d, LinkNet3d
unet = UNet3d(c_in=1, c_out=2, c_start=8, layers=4)
x = torch.rand(1, 1, 64, 64, 64)
output = unet(x)
print(output.shape) # (1, 2, 64, 64, 64)
...or a LinkNet3d—a more compute efficient UNet variant—on torch.random data 🤓
linknet = LinkNet3d(c_in=1, c_out=2, c_start=8, layers=4)
x = torch.rand(1, 1, 64, 64, 64)
output = linknet(x)
print(output.shape) # (1, 2, 64, 64, 64)
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Release files for unet3d 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| unet3d-0.1.0.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| unet3d-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.0 kB
Release files / unet3d-0.1.0.tar.gz
| Download URL | unet3d-0.1.0.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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poetry/2.0.1 CPython/3.12.7 Linux/5.15.0-56-generic
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Release files / unet3d-0.1.0-py3-none-any.whl
| Download URL | unet3d-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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poetry/2.0.1 CPython/3.12.7 Linux/5.15.0-56-generic
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