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cryoet-deepfinder

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0.2.1 cryoet_deepfinder-0.2.1-py3-none-any.whl

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Project: cryoet-deepfinder
Version: 0.2.1
Filename: cryoet_deepfinder-0.2.1-py3-none-any.whl
Download: [link]
Size: 45647
MD5: d7dbeb8d004379f40bf97a3e67f36f66
SHA256: df425a68e835e232ec539bde675b4a2b68c4ee5c5492fc61c119d0c4919bcf47
Uploaded: 2024-06-11 13:46:54 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: cryoet-deepfinder
Version: 0.2.1
Summary: DeepFinder is an original deep learning approach to localize macromolecules in cryo electron tomography images. The method is based on image segmentation using a 3D convolutional neural network.
Author: E. Moebel
Author-Email: emmanuel.moebel[at]gmail.com
License: GPL-3.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires-Python: >=3.9
Requires-Dist: tensorflow (==2.13.0rc0)
Requires-Dist: lxml (>=4.9.3)
Requires-Dist: mrcfile (>=1.4.3)
Requires-Dist: scikit-learn (==1.3.2)
Requires-Dist: scikit-image (==0.22.0)
Requires-Dist: matplotlib (>=3.8.1)
Requires-Dist: PyQt5 (==5.15.10)
Requires-Dist: pyqtgraph (==0.13.3)
Requires-Dist: openpyxl (>=3.1.2)
Requires-Dist: pycm (>=4.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3918 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
deepfinder/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
deepfinder/inference.py sha256=qrp0KzDhj42SMNia89EwK5JiT4NlgwnDflTM4Vcz4M0 11269
deepfinder/losses.py sha256=OKoQLoRoeUZTV-zE-VcNJyd7zbuH2Y2s5_Nx9wxCTo4 2020
deepfinder/models.py sha256=f6OZNtEoE4eWsJJPQAsZBwH1fqlctWwV296B0Qtk9gU 2198
deepfinder/training.py sha256=SQfjBP1qkSQTaTyckTy-cYekL0waiX_nwlX6dcONgPs 24665
deepfinder/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
deepfinder/utils/common.py sha256=izv3lUww2rrF2LT05PvdTbM_8Ex2P9D8uGTyGM4qpKQ 11004
deepfinder/utils/core.py sha256=hoDWoBGvqFhYC3-2fGcw-vnHF6kUO5WgfM367zNAg4M 12925
deepfinder/utils/dataloader.py sha256=TSAf5s_WiDXwgdWETu2eVmKLkrOrEQG8ivmgfsQERV0 2111
deepfinder/utils/eval.py sha256=0a-aF0nmLCGXvcvnCBqfiRowtRx-1hJVKzdNHcYSG1E 10751
deepfinder/utils/objl.py sha256=sMJV_9_9-_MC2lzR50Pbj2ediI6sNOA0PmnBcAW-HvA 15399
deepfinder/utils/params.py sha256=rd_Mpa7QuLrL4tdhc9K-WcExo94tTSE6Uw2hf4u2Qck 11188
deepfinder/utils/smap.py sha256=uZ-h9tkhdOHPTMIYhAvNzCR9H8Fy8AWIh16J-yVBwBc 2710
cryoet_deepfinder-0.2.1.dist-info/LICENSE sha256=ixuiBLtpoK3iv89l7ylKkg9rs2GzF9ukPH7ynZYzK5s 35148
cryoet_deepfinder-0.2.1.dist-info/METADATA sha256=HVRSWAzMZf_vaGPrdjla1789Jhmc7i2po6AnbMWvyeg 5494
cryoet_deepfinder-0.2.1.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
cryoet_deepfinder-0.2.1.dist-info/entry_points.txt sha256=yC9E9OxF3xAegyDqbAtMnO56vFt9sK960hLsi4ULAzA 260
cryoet_deepfinder-0.2.1.dist-info/top_level.txt sha256=SuRoqBblMoMZye4rfmOhMLtRi0bJn5PFc0qc-ElSpb4 11
cryoet_deepfinder-0.2.1.dist-info/RECORD — —

top_level.txt

deepfinder

entry_points.txt

[console_scripts]
annotate = deepfinder.bin.annotate:main
cluster = deepfinder.bin.cluster:main
display = deepfinder.bin.display:main
generate_target = deepfinder.bin.generate_target:main
segment = deepfinder.bin.segment:main
train = deepfinder.bin.train:main