Wheelodex » Projects » n2v

n2v

View on PyPI — Reverse Dependencies (4)

0.3.3 n2v-0.3.3-py2.py3-none-any.whl

Wheel Details

Project: n2v
Version: 0.3.3
Filename: n2v-0.3.3-py2.py3-none-any.whl
Download: [link]
Size: 48810
MD5: b3d297c4f5bbd5de4ae7d19d4585e2eb
SHA256: be5b24fe0bf3cdc15cd4771c50e577a81b7d83b27300a0b90035cc87bb95c33c
Uploaded: 2023-11-15 09:04:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: n2v
Version: 0.3.3
Summary: Noise2Void allows the training of a denoising CNN from individual noisy images. This implementationextends CSBDeep.
Author: Tim-Oliver Buchholz, Alexander Krull
Author-Email: tim-oliver.buchholz[at]fmi.ch, a.f.f.krull[at]bham.ac.uk
Home-Page: https://github.com/juglab/n2v/
Project-Url: Repository, https://github.com/juglab/n2v/
License: BSD 3-Clause License
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Dist: numpy
Requires-Dist: tifffile
Requires-Dist: imagecodecs (>=2020.2.18)
Requires-Dist: csbdeep (<0.8.0,>=0.7.2)
Requires-Dist: Pillow
Requires-Dist: ruamel.yaml (>=0.16.10)
Requires-Dist: bioimageio.core
Requires-Dist: backports.tempfile; python_version < "3.4"
Requires-Dist: pytest; extra == "testing"
Provides-Extra: testing
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 7409 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.3)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
n2v/__init__.py sha256=Ee-q-WYxbf2l7t5TtnvUewGkuT1rb4aDj6yuFCKVfNo 89
n2v/version.py sha256=on4Bj4mGEjEjyUkQExxprhOoEopcv_sPapsEnNxyelE 22
n2v/internals/N2V_DataGenerator.py sha256=1yqPfblzMQaX5KBKWHNa1dSNOcnvKUEbbc_X_yeDil8 11567
n2v/internals/N2V_DataWrapper.py sha256=_VfGhPJLtcg5E4GnPcUUf1wJTf-2zRHX9JPZDP_dstI 7842
n2v/internals/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
n2v/internals/n2v_losses.py sha256=1ahktZ8RbNmG3TSOvmR9UGpSWVlfWdC0PvH2ND9c8ss 542
n2v/models/__init__.py sha256=83Gs3m5ouazE_IkvmxmG5T7YffK8xOfONQOkJqdILrM 129
n2v/models/n2v_config.py sha256=N-5661tF92rUvcCyUJ6y6I6-2fpDj3fbXC6JNPk4teo 11681
n2v/models/n2v_standard.py sha256=YsDALG7pGdS5-IOF5kCV04opurqQZujUQ8MS0Qqg_HY 24644
n2v/nets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
n2v/nets/blurpool.py sha256=4XIevnKCR7-lafGqtY43sh7bKCf3KI-J-aQhz3JOjIA 1953
n2v/nets/unet.py sha256=C12QTMdYoNEHpxO3PM8jKeMGTyaDGWbbQVBTDIS3Yag 4866
n2v/nets/unet_blocks.py sha256=aVn-jiHQt906ggHQvAHhdGWFCQe423DlBDsT9R4IDjo 4572
n2v/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
n2v/utils/evaluation_utils.py sha256=WktsrJksGSE78sQbNXXIK26Qxz9Bc4sluaIepHU2xJU 992
n2v/utils/export_utils.py sha256=RSNOywp84Ijwk1-odFJ7judsB9q5mViEXwSmQd5-DYM 5399
n2v/utils/n2v_utils.py sha256=87YyE1Pl6966RVHq-xX5bIl89ArFdLZwj3JLQ2ch8SI 7995
n2v/utils/tf.py sha256=MvCPbTqys826s_Lz-ecQPFJOpo6eK9pXbWK19o3jOAI 46
n2v-0.3.3.data/scripts/predictN2V.py sha256=qL4b3-zhpVbJeXZMoZTXkJ9GEETD8hFc6DwUTa_MNHo 2933
n2v-0.3.3.data/scripts/trainN2V.py sha256=Cc9nLjYps9Fb0wHlOspIl9ABN_zY4RLmTZZzhQO2RhQ 4417
tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/test_Noise2VoidDataGenerator.py sha256=aNjrCj5ZX9R8q2utUNDixquFDyL2hlMc2LO4yxuEFyk 1741
tests/test_Noise2VoidDataWrapper.py sha256=rYcp4MtmUK3ndT-v15vtJyFYXZHBOB7rzl7n8EXQOK4 5752
tests/test_export_models.py sha256=79JYJjidnWuI-wvnXScoywT1QtGROqQ1_D1O_DMJ2ug 4066
tests/test_n2v_utils.py sha256=ei2GHj90urePjmw8lmSR3ED7kUK2KT1uJGj1Ut5Z_hU 5448
tests/test_read_lzw_tiff.py sha256=F2PCelhPyIS7z_Te4cCZ6YLlvM920gzcQWT9Lb9LJrg 434
tests/functional/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/functional/test_prediction2D_RGB.py sha256=TUM_Ie3cxNJwSASeWcoKCt2w16r6HdHdifryelwlHxw 1340
tests/functional/test_prediction2D_SEM.py sha256=cktsr4NEyHKm-2AdLnJzMLANPiCatzcfn8FEJGD6Its 1285
tests/functional/test_prediction3D.py sha256=DVXyObyy7K4RSpFPU-YfXZWVdQq8HF7h16ENdTqPmY0 873
tests/functional/test_training2D_RGB.py sha256=uvGTGPRz6yWkyMn1puGPMJjvt3xjTQ8dfMSKAs3He8o 3102
tests/functional/test_training2D_RGB_singleNetPerChannel.py sha256=80QO0irehxBSiGzQppLSIxhkip-fylh3pclyVD4BBPY 3101
tests/functional/test_training2D_SEM.py sha256=FC8pS4EQ1TbXKn8NkZNNteCFayz0YwjG_JfAW1d2ZpA 2990
tests/functional/test_training3D.py sha256=1JfnEEEcIITxoHe3Dt4SHznEL6TkqBeFR79T-zWHLmQ 3558
n2v-0.3.3.dist-info/LICENSE.txt sha256=lxzl5-WjS1zL1C4k2QhNZEcsvuaLf1GiJU-p43hsBGs 3197
n2v-0.3.3.dist-info/METADATA sha256=_WYL5eMv3V8FAS4MsQ7AZWMKYZT1GUjkQ0MFqLsSxT8 8628
n2v-0.3.3.dist-info/WHEEL sha256=P2T-6epvtXQ2cBOE_U1K4_noqlJFN3tj15djMgEu4NM 110
n2v-0.3.3.dist-info/top_level.txt sha256=VirF9fhQwqIdTLg9oxLfK8mWmUJwHi90TQJLq-ZIDv4 10
n2v-0.3.3.dist-info/RECORD — —

top_level.txt

n2v
tests