Common medical 3D image registration methods such as rigid, affine, and flow field for PyTorch.
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1 maintainer
Release files for TorchRegister 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| TorchRegister-0.2.2.tar.gz | 7.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| TorchRegister-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.0 kB
Release files / TorchRegister-0.2.2.tar.gz
| Download URL | TorchRegister-0.2.2.tar.gz |
|---|---|
| Size | 7.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
Release files / TorchRegister-0.2.2-py3-none-any.whl
| Download URL | TorchRegister-0.2.2-py3-none-any.whl |
|---|---|
| Size | 8.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
8483481beeba8488a87da96b562ba6a2745ccffd9a530571410a9c43806f3bb7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
