Binary Segmentation Benchmark Package for Bob
Package to benchmark and evaluate a range of neural network architectures for binary segmentation tasks. It is build using PyTorch.
Installation
Complete bob’s installation instructions. Then, to install this package, run:
$ conda install bob.ip.binseg
Citation
If you use this software package in a publication, we would appreciate if you could cite one or both of these references:
@inproceedings{renzo_2021,
title = {Development of a lung segmentation algorithm for analog imaged chest X-Ray: preliminary results},
author = {Matheus A. Renzo and Nat\'{a}lia Fernandez and Andr\'e Baceti and Natanael Nunes de Moura Junior and Andr\'e Anjos},
month = {10},
booktitle = {XV Brazilian Congress on Computational Intelligence},
year = {2021},
url = {https://publications.idiap.ch/index.php/publications/show/4649},
}
@misc{laibacher_anjos_2019,
title = {On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Retinography},
author = {Tim Laibacher and Andr\'e Anjos},
year = {2019},
eprint = {1909.03856},
archivePrefix = {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/1909.03856},
}
Contact
For questions or reporting issues to this software package, contact our development mailing list.
Metadata
Release files for bob.ip.binseg 1.4.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bob.ip.binseg-1.4.0.zip | 10.5 MB | Without provenance | Details for bob.ip.binseg-1.4.0.zip |
Release files / bob.ip.binseg-1.4.0.zip
| Download URL | bob.ip.binseg-1.4.0.zip |
|---|---|
| Size | 10.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3c87b6a175f51a7c1a792b05562da15c2ab2ea6fcab00c73587db1c2594cc275
|
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cc494a28ae4cc25c3e5633d1ce2a81b38f58e1b703ac50939caf050ee9b042fb
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| Uploaded via |
twine/2.0.0 pkginfo/1.7.1 requests/2.26.0 setuptools/58.0.4 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
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