empanada-napari
View on PyPI — Reverse Dependencies (1)
1.2 | empanada_napari-1.2-py3-none-any.whl |
Wheel Details
Project: | empanada-napari |
Version: | 1.2 |
Filename: | empanada_napari-1.2-py3-none-any.whl |
Download: | [link] |
Size: | 178941 |
MD5: | 005d11cc0c60acadda1008daaa1e617c |
SHA256: | 40609ebdddc6365a602d4886f6fa2902632e7dd030c67d5f4e294a36354a2e85 |
Uploaded: | 2025-04-28 19:45:50 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | setuptools (75.3.2) |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
---|---|---|
empanada/__init__.py | sha256=mdp2CftfqYbdKtP-eWv1z7rAUycYv6X1ntXSMUf8Kss | 22 |
empanada/_version.py | sha256=qfxCZvta1SPrESUYdViWPWJCC6SQGc18F_dxuh5A3F8 | 481 |
empanada/array_utils.py | sha256=t7ilm4J8daKGUDg5Ckf103W24XG-J6W5JxmCzj4qrzc | 23003 |
empanada/config_loaders.py | sha256=H1mDAsGlGkiE33XR6_oU8tmfY7VBlK9KxKJV4-qzqRs | 1867 |
empanada/consensus.py | sha256=-IME9a0bZm2GfmtOLH5gGsAt2kuhZI46ZTNQzEw91NI | 21552 |
empanada/losses.py | sha256=ppe1xNR0sTdqFN_GZr5IZ_gubn69rSzLlSCBfoICM_E | 6577 |
empanada/metrics.py | sha256=U3yr9k9U6IwZn7vNG3TzEZrOh56p3u_6WPW7QfodETk | 10697 |
empanada/zarr_utils.py | sha256=B3K-DnWqZjPniTSjmksRUMbv3Mr_Vkjcywn0ZVT2jhA | 5985 |
empanada/data/__init__.py | sha256=A_BYYm6qvATu2V-9zWpDFw8DJH7ls5w7Be5_C_Q088c | 244 |
empanada/data/_base.py | sha256=rRkEdef8EbOEp7wTqWRHUFCaq505kSjj36429Geagsg | 3876 |
empanada/data/bc_dataset.py | sha256=rgrbgmHSt2xaiAjoGHKxm6ZO5iCAvxbMq-XnIrKdnis | 2194 |
empanada/data/panoptic_dataset.py | sha256=bEW7diWTa6A6caGRyAhHuIOO5MBPQA_siqjaeNFjZmI | 3169 |
empanada/data/single_class_instance_dataset.py | sha256=uyFDFtURajbuFmaMWvR7ElEuuaYdPdUcrbj6bi-MV-o | 2281 |
empanada/data/volume_dataset.py | sha256=KNcqmdZyvXUjmYQMoX156fyE-ijS0fK-DxWhtHzj3r4 | 1666 |
empanada/data/utils/__init__.py | sha256=ygDV-zGGJoyyT-lFy6qTUp8NfS42VpFJAXy5-UQHRFE | 382 |
empanada/data/utils/sampler.py | sha256=FYWqeGFN7Mwvhi6CcROMPydEXOukScKABIlnhQL59Pk | 2765 |
empanada/data/utils/target_creation.py | sha256=mg6T8qITrw9MZ4Kn6fdBB6gYnDwT7tsw55o_q-gQ2NY | 4298 |
empanada/data/utils/transforms.py | sha256=tOPg2jhpL2YwVvM66R4loFZIOoBM5xUy7OvPGvYKnCE | 1361 |
empanada/evaluation/__init__.py | sha256=ANbADn5SvDIaZE2waf17BiJkCR_Kme10DJbxhejZq-A | 283 |
empanada/evaluation/evaluator.py | sha256=XA5dtdZJT5084GNpYr5aTSpS1kkbIsgHSfXqLhFJTiM | 4639 |
empanada/evaluation/instance_metrics.py | sha256=q_SLK5cI8t6iUW2S6uZUtJSLx1CqVHoo_tEfb8OjT14 | 5677 |
empanada/evaluation/panoptic_metrics.py | sha256=HbH4TIZuNacIrub5bMPWFhCHKj5BXYTUEHtxqTElCa4 | 1368 |
empanada/evaluation/semantic_metrics.py | sha256=6U0NpKEpxJPjKP-3PvPiit66N3xCe9sY2Fu5x4i4Brc | 656 |
empanada/inference/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
empanada/inference/engines.py | sha256=zB0ThIGxDPY8OlF6Xb38Ve3EYz2hLHcmGM7YRhYsDr0 | 15554 |
empanada/inference/filters.py | sha256=YG1U2iDVAC9mHlkBTSQOtbdfI4qUvOVR95ls_NEOE0Q | 7237 |
empanada/inference/matcher.py | sha256=Hi26oYEoEGmSZuzvOYC-SNhGokzE7pqnRuezJHmNFxE | 11531 |
empanada/inference/patterns.py | sha256=mMFh5ZPoGo-RnaTArIantRcB6RyxatOAjiHvZbox8ws | 10666 |
empanada/inference/postprocess.py | sha256=CMWx-wp9xUxzKGasD-yTznKSpR6wNLabmORpW0-0-DM | 11752 |
empanada/inference/rle.py | sha256=hpBuz0LPTcE6vFriusZk4UhmhT5ZtBgrHXUBdidroa8 | 4631 |
empanada/inference/tile.py | sha256=uMtQia9GsdUNDWXYDaM7AmlqxGJYFKLJlkCoiFDmSMs | 6379 |
empanada/inference/tracker.py | sha256=kiXPC3l2em_dEhrJqG2zvkNzymMRN5PwL7X_2TFDTno | 5516 |
empanada/inference/watershed.py | sha256=bRwIrZ7vaQlz6KM0quxccIVdFQJ32IgKj0CNCZBgqgw | 5225 |
empanada/models/__init__.py | sha256=RG36owIeYccesymocufZCte7TYuvd3ZLvZcG4rqIBOY | 172 |
empanada/models/blocks.py | sha256=IwSPzb2920WO1mOpzbVZqBHS5CZJvN3ELzUZwYj3yDQ | 4562 |
empanada/models/heads.py | sha256=VrlOEbgaQ5N7ThYwkLDGfzkbGUqnQDjSWKgjfX7aKTw | 705 |
empanada/models/panoptic_bifpn.py | sha256=NC4BNM1P3OPPzPJzWPBREauBV7ZyieKaq_ikX6d6kpw | 5825 |
empanada/models/panoptic_deeplab.py | sha256=A59gJrLsBmJ5ZIqFzno5T74zmGxBLiqWYqovUVFCyZU | 7826 |
empanada/models/point_rend.py | sha256=1llpvcAFLAaAlhztpfeoB2Rgq5AG4TihccCXpJOXaK4 | 11094 |
empanada/models/decoders/__init__.py | sha256=zfQ70IabKK6utHDBAQgPX2dqVKuE4U3KTVnbyh6zH-g | 140 |
empanada/models/decoders/aspp.py | sha256=9uHtVtOruD_NAjiSj7YgJCqwAwyrQtF2E0ET-NTiL-w | 3452 |
empanada/models/decoders/bifpn.py | sha256=HJjEDCkrtrrtnIWpQjJlzuH93S_5L5dG0FaQINsu9rM | 10027 |
empanada/models/decoders/panoptic_deeplab.py | sha256=Bq8uwnrRd23dM3BTP_kjr9xMrxGat3dm1XOpgOstBhk | 2944 |
empanada/models/encoders/__init__.py | sha256=oWaXE_8ddxzHoTuWhwgV-fAG2byuwJX-cnOytWEINqw | 92 |
empanada/models/encoders/regnet.py | sha256=VxPqU7rwxJ_-clzsiXYhRhzstpsnsd-i3Tif-9mCbFc | 8780 |
empanada/models/encoders/resnet.py | sha256=KfsXVDkILfAEtY6hgw2A0ikU4FzmhjYMd194YPwPPek | 13943 |
empanada/models/quantization/__init__.py | sha256=al63yZu7_fc31JP5tRSJ_xMGwuOmtTtMcN6iFCYreEY | 223 |
empanada/models/quantization/panoptic_bifpn.py | sha256=hQIGpLHodCHddV2PMCOvi3z-P1N8Ua0sPJatRzVuo9g | 5884 |
empanada/models/quantization/panoptic_deeplab.py | sha256=OS8FUkOxmcRde7LqI5XyCnvq1cX4yWeeLvFYUXnIYKg | 9615 |
empanada/models/quantization/point_rend.py | sha256=-hbOwZyQfRZDpXnb0mzdrT0K6wspxkZKk26f3MCYrrY | 761 |
empanada/models/quantization/decoders/__init__.py | sha256=LPqd4E_QvJQsJE9gy3wOZL5mXQs-Jt7pZsgA2F2SIf0 | 101 |
empanada/models/quantization/decoders/panoptic_deeplab.py | sha256=F9Wt8ir6yyFgf6HORX5_g0qt9BNaZiO8XoucLEXWYP0 | 1026 |
empanada/models/quantization/encoders/__init__.py | sha256=bNf3aFfQ5d3KfXVLGaXXnIhPx1MFfL43qoVcQFxZ_CU | 190 |
empanada/models/quantization/encoders/regnet.py | sha256=2dZ1gdqUFPHwbShEPkAtga2DNM2jD7rOlWsuck8B9v8 | 2667 |
empanada/models/quantization/encoders/resnet.py | sha256=gYGLLwGziNccAYaCSEZCGz6Axha9vzw7lgbydG_rRHQ | 4250 |
empanada_napari/__init__.py | sha256=t47L7qClNHu_QcByir4AB1YUfAaSgkIMVleuFvfWYzc | 1249 |
empanada_napari/_accuracy_metrics.py | sha256=T8W9ajtqoht5tb4ldT8K0SIQRptKS9OOzBJ6WDeMkHU | 8806 |
empanada_napari/_create_tiles.py | sha256=AwrWA1LEv9LaUBaaL4rGVyueQ2Dh2BjXxWdCy10n-aw | 11080 |
empanada_napari/_export_batch_segs.py | sha256=gZ-iJnHLA2aJsJXm5_PfvRQDn9PTG8EeELrC43rGkLg | 4965 |
empanada_napari/_export_import_models.py | sha256=gMFPV4oWNwhzL1TGfb57QhnpcWQB4GoJ8E0nlNJ7gJw | 7351 |
empanada_napari/_filter_small_labels.py | sha256=wUUDXSu7A7OkG6UmQ5oWfHwpHKIYks4OKnUbASQcDsY | 5157 |
empanada_napari/_finetune.py | sha256=RIJx0ENlS427wRHIdqFhLmp4KqccWa26JlAOlWtQJMM | 8685 |
empanada_napari/_label_counter_widget.py | sha256=RiFCqvA28O6HevlOMqP1TXnArdwzmK3iZdKGxR2stvw | 14153 |
empanada_napari/_merge_split_widget.py | sha256=OHIeUZ2JsqyuUyrUB_1k9-kGFFzGF7xXkpNZ2szjTGw | 31776 |
empanada_napari/_pick_patches.py | sha256=xTMB6DXJbJQjrW8fcf1GgZN24BNxJrX2j7UkBEqi4DE | 24571 |
empanada_napari/_register_model.py | sha256=Kg584_LfZbOF6NySNGkKnTwHCLb91ffMa3f-VT8jwTc | 1733 |
empanada_napari/_slice_inference.py | sha256=ipkCoM5ei63bxSYzndPP97Y_kZFUGiUhF37KVaHYqjE | 20519 |
empanada_napari/_train.py | sha256=CXWgFfoZK3hiDuWJNjbZpP3W3avZ-BWNiIV5VjWpe3I | 11861 |
empanada_napari/_version.py | sha256=3ZNybCzM64ro8P-htmTlsg3dufwOpLilOIZtyoLGyTI | 478 |
empanada_napari/_visualize_patches_from_points.py | sha256=1_XH3U0gAnEzDSIwliDEK-DZKxUjUmJW_7yqKLGVyzM | 2832 |
empanada_napari/_volume_inference.py | sha256=r-_ErG3qWsvQiQfvuol3Z6B8u6-chmMuM32mdngBPm0 | 16930 |
empanada_napari/finetune.py | sha256=tfNSAtr6u19Fd09CSWOqf-JQ7qhHGC6YB__h15euBq0 | 17145 |
empanada_napari/inference.py | sha256=xHsXxYhrGluda5BuC6qu95wt6jK_XpHU3f-oWhpTEgI | 21018 |
empanada_napari/multigpu.py | sha256=CSAeDIuDFFpzEoQX5OSDjDQqublTK9awxv5u4BEj4To | 9499 |
empanada_napari/napari.yaml | sha256=bX1fdEdR0y1fZo7z8wAGc-n73WplaUurgaWAl3RdOLo | 5573 |
empanada_napari/train.py | sha256=6z1Vh10cgTUo28L33i6orDloa4tdypPBsuLBj-r9bOA | 18522 |
empanada_napari/utils.py | sha256=nwhk-TgkzNohwnTqKB33p1IgCdu5uXdS5KLBLlFrTPc | 6399 |
empanada_napari/configs/DropNet_base_v1.yaml | sha256=_auD48pmarTwV9umSisZ2pgJtp1trnM3G64vDKSpkkY | 858 |
empanada_napari/configs/MitoNet_v1.yaml | sha256=dgCSlIrW7QSYczsuM2CtlTI6TO5JXTzWGxh3A3DSAww | 1123 |
empanada_napari/configs/MitoNet_v1_mini.yaml | sha256=MrtVyo4UYpD77KLcPrmljVQosBLXiGKnTxfZEak1jSE | 1220 |
empanada_napari/configs/NucleoNet_base_v1.yaml | sha256=KdaSOtIZDTBJxOcPJjwWjH3MtlkzVcfW5X9LjrH0x2g | 859 |
empanada_napari/resources/empanada_logo.png | sha256=m2Jce35Ja1fE6GP5b0Curo2bK5XeJ_UTUcd4dwTNDkQ | 20894 |
empanada_napari/training/bifpn_model.yaml | sha256=ThWNPxoyq3WrNWDTX51y6FT_U6jS_0GgRRdAy-5dCv4 | 295 |
empanada_napari/training/finetune_config.yaml | sha256=x_DPdTb7-ahwe-C_3X64Rg5Ypd9zp5ZruuUC70R3DiE | 1544 |
empanada_napari/training/pdl_model.yaml | sha256=l7fjOZpd1Fadwdc9bleJs1bJwBXDaSNMJXdzk0Qy0ds | 437 |
empanada_napari/training/train_config.yaml | sha256=0sA7PBZNMz7eFFVpkReAeBMxwugzAMG5fRTV8Ad5yBA | 2178 |
empanada_napari-1.2.dist-info/LICENSE | sha256=3OEE2sRLg7hJv0eMlhCTftbX3psC_pTT8UgHvukxlAY | 1546 |
empanada_napari-1.2.dist-info/METADATA | sha256=9AbF9dYlxo0LuQzrmE-AQc2Ods2Bh5jpThS8aW0ZkxM | 7205 |
empanada_napari-1.2.dist-info/WHEEL | sha256=iAkIy5fosb7FzIOwONchHf19Qu7_1wCWyFNR5gu9nU0 | 91 |
empanada_napari-1.2.dist-info/entry_points.txt | sha256=5KYKE5-eQQwRTEqZEm_yp-HUpSvRxcXBvL_zHPHbihU | 64 |
empanada_napari-1.2.dist-info/top_level.txt | sha256=Ix6PB34tH6-TgkYVm_0wgZrmXDzRcxg74ccSw5qh908 | 25 |
empanada_napari-1.2.dist-info/RECORD | — | — |
top_level.txt
empanada
empanada_napari
entry_points.txt
empanada-napari = empanada_napari:napari.yaml