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metroem

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0.1.3 metroem-0.1.3-py3-none-any.whl

Wheel Details

Project: metroem
Version: 0.1.3
Filename: metroem-0.1.3-py3-none-any.whl
Download: [link]
Size: 41691
MD5: 7341d0bfb7baaf756b154c4b38a86587
SHA256: b683b5efcc561b6a467ffaf9a658af7124daab39a8e8bd139fdeefba8666e1df
Uploaded: 2022-09-08 18:42:59 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: metroem
Version: 0.1.3
Summary: Metric learning optimization pyramid for EM alignment
Author: Seung Lab
Requires-Python: >=3.7
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: pathlib
Requires-Dist: artificery
Requires-Dist: torchfields
Requires-Dist: h5py
Requires-Dist: argparse
Requires-Dist: cloud-volume
Requires-Dist: tqdm
Requires-Dist: scikit-image
Requires-Dist: six
Requires-Dist: numpy
Description-Content-Type: text/markdown
[Description omitted; length: 3211 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
metroem/__init__.py sha256=4jUOgoqMQiznT_8g7KuwBXnY636AllJC_KDYyM19Zp0 183
metroem/aligner.py sha256=ktXLj_Ya9yHrU_Qeb6J1IMPVt9qYW_ohRMJzU23xWvk 13584
metroem/alignment.py sha256=Kcr5jQA5vgnpeyyHcBWTEn_oa5VLibdcUPw0z51GaWg 5797
metroem/augmentations.py sha256=lUGKUPRIJHc5IRTXZYsmi2LvPQkYbrS0v_FMlH4v1RA 6727
metroem/benchmark.py sha256=TcAJeaFzHfwX9UiDpzSxApeRY6a7ZOPH4AOjglbxGTU 2604
metroem/blockmatch.py sha256=pD6C6zqL6tDdua4jdNfDhOHxwDnFTW_Yp9FT0VFt2RQ 14385
metroem/dataset.py sha256=WW7bDEDd4Y69WWHcrhnKRYYGkCEJ2lRCOKsOa29IFa8 16532
metroem/download_field.py sha256=KbnOH-mLFaN8DPzGGzPoDFqkSVzg5EzwpOkbDmOUSas 9607
metroem/download_image.py sha256=w8l_X7b-cd91XotAVm_coNFqLa92k7fcwBXx3PHBGi4 8790
metroem/finetuner.py sha256=fx4-35Fb4_UX_WfNEVdKCdHhJ5RuW6GPwXQHhqFn78Q 5118
metroem/helpers.py sha256=hcFt5fN0cq_2_uZ3wd6yFYommTJTfpQ6mD4B9k3MhAc 14454
metroem/loss.py sha256=c3WG7PE5JmXllikc9eMT7My7qscnVzTQI5luRwJx6PE 16319
metroem/masks.py sha256=vxTPZdKFdFtAYEqV3e3exR-eKQQQIhC0rCPLVLYtJGk 9193
metroem/train.py sha256=6LGHU9vJJH7qmyKZtOBPiMCM0HiKZhxS2PTXOTq3JV0 10321
metroem-0.1.3.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
metroem-0.1.3.dist-info/METADATA sha256=7wVK8Sbu49dQz_K8ljT6bhJCPgeizpegBTgcvNTY_Lc 3760
metroem-0.1.3.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
metroem-0.1.3.dist-info/entry_points.txt sha256=eTR42I3SFAEMzWlK4lLvFSEG7Euj2MyCdtxSU4_eHGc 54
metroem-0.1.3.dist-info/top_level.txt sha256=fr8jJfiK2Lu90SR3AFbKDW72HtLR119j4vHNOV37L4A 8
metroem-0.1.3.dist-info/RECORD — —

top_level.txt

metroem

entry_points.txt

[console_scripts]
metroem-train = metroem.train:main