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py-ssvad-metrics

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1.0.0 py_ssvad_metrics-1.0.0-py3-none-any.whl

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Project: py-ssvad-metrics
Version: 1.0.0
Filename: py_ssvad_metrics-1.0.0-py3-none-any.whl
Download: [link]
Size: 31269
MD5: 747396eed7a0cfc5fad5a87dfd29499c
SHA256: 9a6ec569956e11feb65d0532b914d345a2abd6109283af43ce28e597adb0db0e
Uploaded: 2022-07-05 04:08:18 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: py-ssvad-metrics
Version: 1.0.0
Summary: Single Scene Video Anomaly Detection Metrics
Author: PT Qlue Performa Indonesia
Author-Email: developer[at]qlue.id
Home-Page: https://github.com/qlue-dev/py-ssvad-metrics
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.6,<4
Requires-Dist: numpy (>=1.18)
Requires-Dist: typing-extensions (>=3.7.4)
Requires-Dist: pytest (>=6.2.3)
Requires-Dist: scikit-learn (>=0.24.1)
Requires-Dist: scipy (>=1.5.4)
Requires-Dist: pydantic (>=1.8.1)
Requires-Dist: pandas (>=1.1.5)
Requires-Dist: tqdm (>=4.58.0)
Requires-Dist: numba (>=0.53.1)
Requires-Dist: ffmpeg-python (>=0.2.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4568 characters]

WHEEL

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

RECORD

Path Digest Size
ssvad_metrics/VERSION sha256=klIfw8vZZL3J9YSpkbif3apXVO0cyW1tQkRTOGacEwU 5
ssvad_metrics/__init__.py sha256=rfGJvj2KtVCI5NoSxjddcgVN0wGThfefU5cw_qXIr30 348
ssvad_metrics/_utils.py sha256=mLP0ZyzC1ZldbIljdEkixDeEpZXNBMfuFekhpDp6NIo 2138
ssvad_metrics/criteria.py sha256=7bONXnUWqw9rOlwCQClgLUbt_OZLb502zDbgBNlly-A 21315
ssvad_metrics/data_schema.py sha256=Dy9wqZXNYtzti1JygMt-j-2lRW1sl2p0WQfrLU7lCUY 5769
ssvad_metrics/metrics.py sha256=hrzbDSNeLbKOwb_Xv5uBIvOxN6v_txUacLB9bB2XdaU 6884
ssvad_metrics/utils.py sha256=BNcC61PDOePK4zmp24asTs-qQeqvN89-vc6699u0dPw 3790
ssvad_metrics/visualizer.py sha256=vGoif7qeGj9XjoIyYqfHXNQpnjLYKuwkNvUOwj-styw 27066
py_ssvad_metrics-1.0.0.dist-info/LICENSE sha256=ixuiBLtpoK3iv89l7ylKkg9rs2GzF9ukPH7ynZYzK5s 35148
py_ssvad_metrics-1.0.0.dist-info/METADATA sha256=4riAOdnk88FeI1rHs6VroQbsmORSYqSAcIMdENhD5So 5557
py_ssvad_metrics-1.0.0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
py_ssvad_metrics-1.0.0.dist-info/entry_points.txt sha256=nIb6ux7nR8-3gBxzUgygIiV-7LOUUrhWAEKxci22NKw 145
py_ssvad_metrics-1.0.0.dist-info/top_level.txt sha256=eK6ZKlWEi-8cn72hsjGrUwYImXol5cRK5AnjjHCPlNQ 14
py_ssvad_metrics-1.0.0.dist-info/RECORD — —

top_level.txt

ssvad_metrics

entry_points.txt

[console_scripts]
ssvad-visualize = ssvad_metrics:visualizer._visualize_main
ssvad-visualize-dir = ssvad_metrics:visualizer._visualize_dir_main