empanada-napari
View on PyPI — Reverse Dependencies (1)
1.1.1 | empanada_napari-1.1.1-py3-none-any.whl |
Wheel Details
Project: | empanada-napari |
Version: | 1.1.1 |
Filename: | empanada_napari-1.1.1-py3-none-any.whl |
Download: | [link] |
Size: | 83686 |
MD5: | 0d054f01812f47cafe81bdbeb4b70883 |
SHA256: | 889e35e4648cab187b25a40f154424ff8f219f358e0d853dea81b43d535986a3 |
Uploaded: | 2024-07-29 19:19:06 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | setuptools (72.1.0) |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
---|---|---|
empanada_napari/__init__.py | sha256=VFsRijpq_xDEfT7taDczOp1OPeawYDS4iZ0bqXgoyos | 1212 |
empanada_napari/_export_batch_segs.py | sha256=nDgk3T7xseUmLnGqVwLHRGqujBLs4bqf6udr5WF9S1o | 4849 |
empanada_napari/_export_import_models.py | sha256=8ZlUYGDInwaoT3ajHN_DrTPXHMhA2I2nwCtGuPVxeNg | 5493 |
empanada_napari/_filter_small_labels.py | sha256=AIEdvCeCACq4Wz1TCCApAsP8KMbPewUQlP8K42Tfzzw | 5017 |
empanada_napari/_finetune.py | sha256=C2dL7QnSkERdc9igC8UIoC2pmCICzPX_BUNbxitiyEY | 8473 |
empanada_napari/_label_counter_widget.py | sha256=QXcVKqP0VfT42jvpK6Jhtc8B6eHB8H2bEDFR1uCpnMs | 13829 |
empanada_napari/_merge_split_widget.py | sha256=k9GE2ILqdPLz4mbi_aEzpXEpWDnwOtq6SWBaFZG7CWE | 30989 |
empanada_napari/_pick_patches.py | sha256=8HIP4oUI5hNR7W1hUZvxzHtQ7GedFFG-77GIFVEf0Wk | 23977 |
empanada_napari/_register_model.py | sha256=bbNC_4ET_N8jUM9rtCoW5IZKVKxNl84R7DniZyxfNTU | 1691 |
empanada_napari/_slice_inference.py | sha256=Bl-v2sr2iYATizc4JY048parpsMuLXpOfWFfbpBo6hQ | 15323 |
empanada_napari/_train.py | sha256=stduzI-t7d9ktLEXhT99jVMadFIe5h8WYw1jJxCuNbU | 11591 |
empanada_napari/_version.py | sha256=XhUx_3O1Nd6N23IU-iu8hfYdfngDTK9EnW6PtH-x2zY | 462 |
empanada_napari/_volume_inference.py | sha256=RUz9MflwoDOSmfVKVjf6MSIirzgi3Y68lF6EF1qSDpM | 14805 |
empanada_napari/finetune.py | sha256=3iysASiL_9D4HKXvZ3CpJNNqHuZUXucY7sIc6rPtTwQ | 16659 |
empanada_napari/inference.py | sha256=Oq07H7Ukby79YeP5JLz15uFZJBGSfm5KCOmFIv2IH6Q | 19326 |
empanada_napari/multigpu.py | sha256=_InHVfPVt6_EjO5wUyGoheKHb_8XilSnfHb76al-Vvg | 9239 |
empanada_napari/napari.yaml | sha256=ZL85a4E5zv69ZsmlJsqod_1-2Y9ECG7KN6sqQTGf4jQ | 4310 |
empanada_napari/train.py | sha256=2r5mB5Ar8dL0-G02faxxxdjSJrCXMfd-GFJELufKjZQ | 17999 |
empanada_napari/utils.py | sha256=pWtG0hgiOd39dLcRVauKZoKsZaZZXX12J6gzGl_y2lI | 4927 |
empanada_napari/configs/MitoNet_v1.yaml | sha256=rBQhpwc4CbCeVI2jXnWqjaTowRADveha3YlVQYWa0_Q | 1079 |
empanada_napari/configs/MitoNet_v1_mini.yaml | sha256=JNLtDM_MySPImxKKqqEmlwskiiBz8coad8IcFI5yZys | 1174 |
empanada_napari/resources/empanada_logo.png | sha256=m2Jce35Ja1fE6GP5b0Curo2bK5XeJ_UTUcd4dwTNDkQ | 20894 |
empanada_napari/training/bifpn_model.yaml | sha256=aA-M3U5u_eTZocMAgD7hv3MgSzybJsUvQhXXxY7iYJM | 280 |
empanada_napari/training/finetune_config.yaml | sha256=Jwnfwy_SOqM1mWzm5eHBi07Dm8ur6wgvWnoNRcaJqRY | 1492 |
empanada_napari/training/pdl_model.yaml | sha256=f_9KdLkuNF5CEaYnkPVZyiGRqqUwslmxy_evNhgmXPg | 417 |
empanada_napari/training/train_config.yaml | sha256=hvw0IUYL3_-GtE75XzUiu-bVMADo1OpJW5qo2V1eyos | 2095 |
empanada_napari-1.1.1.dist-info/LICENSE | sha256=JSyWPaBg5e-Pmc8VWsYUPI7SXiNb7hrNI2lak3fKjhg | 1517 |
empanada_napari-1.1.1.dist-info/METADATA | sha256=Jf2MkY8s8QyV1E6yP3OZ6CUKfGrg7ZpCG6yONt9oks4 | 6295 |
empanada_napari-1.1.1.dist-info/WHEEL | sha256=R0nc6qTxuoLk7ShA2_Y-UWkN8ZdfDBG2B6Eqpz2WXbs | 91 |
empanada_napari-1.1.1.dist-info/entry_points.txt | sha256=5KYKE5-eQQwRTEqZEm_yp-HUpSvRxcXBvL_zHPHbihU | 64 |
empanada_napari-1.1.1.dist-info/top_level.txt | sha256=WBIIofEpQJHbyQ5V5RW8oFj8JFQNF_a3MeFxC1A4I3c | 16 |
empanada_napari-1.1.1.dist-info/RECORD | — | — |
top_level.txt
empanada_napari
entry_points.txt
empanada-napari = empanada_napari:napari.yaml