evalSemanticSeg

View on PyPIReverse Dependencies (0)

0.0.2 evalSemanticSeg-0.0.2-py3-none-any.whl

Wheel Details

Project: evalSemanticSeg
Version: 0.0.2
Filename: evalSemanticSeg-0.0.2-py3-none-any.whl
Download: [link]
Size: 6546
MD5: 24ef8a71d4a14f430fd52b5b9b692d95
SHA256: 65d706085603e973d504fe75284cb980f3fe163efab215e2d0a4814281e1715c
Uploaded: 2021-03-27 20:43:23 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: evalSemanticSeg
Version: 0.0.2
Summary: Evaluate semantic segmentation for cutomized data, for models trained on cityscapes
Author: Debanjan Datta
Author-Email: ddatta[at]cs.vt.com
Home-Page: https://github.com/ddatta-DAC/evalSemanticSeg
License: MIT
Requires-Python: >=3.5
Requires-Dist: numpy
Requires-Dist: pyyaml
Requires-Dist: tensorflow (>=2.4)
Requires-Dist: pandas
Requires-Dist: opencv-python (>=3.4)
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
evalSemanticSeg/__init__.py sha256=R7Vlhc-mvpF_a950Pf68mqHHBGuvnAQ2gZ2Oc8egcIg 33
evalSemanticSeg/cityscapes_label_data.py sha256=g6E5OfW1VpUW5O8v6xrJblhiXxvYn6esAjv9wH85eG4 1033
evalSemanticSeg/cityscapes_labels.py sha256=-FOEo6Ly0rJ2OPISo_V515Q5SxC42LoE-w0bwZvUe9k 830
evalSemanticSeg/cvat_to_cityscape_labels.py sha256=ewVnJ8GpGdCJaZySPivYdlGADpbnqBwbx0j-ClqFIfM 567
evalSemanticSeg/eval.py sha256=TM40YFy21F-rTLcW_OqA0vw8jvA1Azz4CEIDYhSX6Jg 668
evalSemanticSeg/evaluator.py sha256=Op3JaqeGM0cOqWDVHH87onFOCzjHtvjSb7_iuz9Xby8 743
evalSemanticSeg/extract_labels.py sha256=a4En76rDOP5s4U1GR7bEYwxCpeqD9wzbJlbT7D7NSrI 4876
evalSemanticSeg-0.0.2.dist-info/LICENSE sha256=0sNf9ETeVqlJC1qb8NaGXJrAsma1QQrJGmXl1EhXyxc 1063
evalSemanticSeg-0.0.2.dist-info/METADATA sha256=MmW5Q-nuzRD8dKGkU3MvNRezvrGXOTuDdwl4nDAfgOY 520
evalSemanticSeg-0.0.2.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
evalSemanticSeg-0.0.2.dist-info/top_level.txt sha256=H390cim-gQ049lIgncJM4jfaaWifNr1UNMq0xv_hk8U 16
evalSemanticSeg-0.0.2.dist-info/RECORD

top_level.txt

evalSemanticSeg