Bio Image U-Net
Implementations of U-Net, Siam U-Net and 3D U-Net for biological image segmentation
Installation
PyPI
pip install bio-image-unet
GitHub
pip install git+https://github.com/danihae/bio-image-unet
Usage example
Import package with import bio_image_unet
iPython Notebook for getting started with U-Net
iPython Notebook for getting started with Siam U-Net
2 maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file bio_image_unet-1.2.0.tar.gz.
File metadata
- Download URL: bio_image_unet-1.2.0.tar.gz
- Upload date:
- Size: 79.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29184863f8c5b2af8a983084528cc60dc11ad029e26799f60e4fd7a44ddd0bca
|
|
| MD5 |
1913f7ece995c5e4a1c9dde64f942ca4
|
|
| BLAKE2b-256 |
fc14bd0455092f2aad69aa7af93d39031a156f393f55dbf68771e7c25549a41a
|
Provenance
The following attestation bundles were made for bio_image_unet-1.2.0.tar.gz:
Publisher:
publish.yml on danihae/bio-image-unet
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
bio_image_unet-1.2.0.tar.gz -
Subject digest:
29184863f8c5b2af8a983084528cc60dc11ad029e26799f60e4fd7a44ddd0bca - Sigstore transparency entry: 2300253571
- Sigstore integration time:
-
Permalink:
danihae/bio-image-unet@3fffe35dcdbbd144735807372d68d6aa46fea832 -
Branch / Tag:
refs/tags/v1.2.0 - Owner: https://github.com/danihae
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@3fffe35dcdbbd144735807372d68d6aa46fea832 -
Trigger Event:
push
-
Statement type:
File details
Details for the file bio_image_unet-1.2.0-py3-none-any.whl.
File metadata
- Download URL: bio_image_unet-1.2.0-py3-none-any.whl
- Upload date:
- Size: 105.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe843a5942eb54f544a0a2a9462b785ae19b3bb60db7a040ead87e0269aae840
|
|
| MD5 |
2e6d79293e4240a350cf3421a7aaf82b
|
|
| BLAKE2b-256 |
3b2e6b0c25c859c33b01f90798853245fd1c31c7578cf63413c593385a8072ac
|
Provenance
The following attestation bundles were made for bio_image_unet-1.2.0-py3-none-any.whl:
Publisher:
publish.yml on danihae/bio-image-unet
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
bio_image_unet-1.2.0-py3-none-any.whl -
Subject digest:
fe843a5942eb54f544a0a2a9462b785ae19b3bb60db7a040ead87e0269aae840 - Sigstore transparency entry: 2300253583
- Sigstore integration time:
-
Permalink:
danihae/bio-image-unet@3fffe35dcdbbd144735807372d68d6aa46fea832 -
Branch / Tag:
refs/tags/v1.2.0 - Owner: https://github.com/danihae
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@3fffe35dcdbbd144735807372d68d6aa46fea832 -
Trigger Event:
push
-
Statement type:
