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top-pr

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0.2.1 top_pr-0.2.1-py3-none-any.whl

Wheel Details

Project: top-pr
Version: 0.2.1
Filename: top_pr-0.2.1-py3-none-any.whl
Download: [link]
Size: 9781
MD5: 009176479a474ec60a92ed1d57df8e36
SHA256: af25cd582991e8bd198728e3549f2c95230ddf7cc2300b9e780cae629cf29485
Uploaded: 2023-09-22 13:39:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: top-pr
Version: 0.2.1
Summary: TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models.
Author: Pumjun Kim
Home-Page: https://github.com/LAIT-CVLab/TopPR
Keywords: toppr,evaluation metric,topological metric,precision and recall
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: matplotlib
Requires-Dist: gudhi
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 10253 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
top_pr/__init__.py sha256=Vzy-G7tVKKLhWTYhBwkGA-DdpzL2Rm-T62Txa34VPyE 34
top_pr/mode_drop.py sha256=jnjmj1byV5mFm6NG-5U36tGtnDgNe81B8eCddqXqgJc 7234
top_pr/top_pr.py sha256=hYuLwGO86qAKpRkn6HH8_xmF1OYoUmt4mMYKTiOrZnE 12664
top_pr-0.2.1.dist-info/LICENSE sha256=kzUHGdZr-6KMaIdyaia3LKW2padoU7vHmNDh9pJzqvc 1061
top_pr-0.2.1.dist-info/METADATA sha256=28cEVTDUUJFGUanYGuqKArPqz4iirTKKA29F2kTQzzI 10957
top_pr-0.2.1.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
top_pr-0.2.1.dist-info/top_level.txt sha256=ZjMbAgJKAAlo_Har21EIYz9BMxLxgOQyQWPkBCd2C8U 7
top_pr-0.2.1.dist-info/RECORD — —

top_level.txt

top_pr