segMetrics

Metrics about segmentation based on Ptyhon.

from ssegmetrics import SampleMetrics

pred = "datas/pred.png"
label = "datas/label.png"
num_classes = 2

SampleMetrics(pred, label, num_classes)

Metadata

Release files for ssegmetrics 0.1.0

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Source distribution for ssegmetrics 0.1.0
File	Size	Uploaded	Provenance	Actions
ssegmetrics-0.1.0.tar.gz	3.4 kB	Apr 17, 2022	Without provenance	Details for ssegmetrics-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ssegmetrics 0.1.0
File	Interpreter	ABI	Platform	Actions Reset
ssegmetrics-0.1.0-py3-none-any.whl 8.0 kB Apr 17, 2022 Without provenance	Python 3	none	any	Details for ssegmetrics-0.1.0-py3-none-any.whl

Total release size: 11.4 kB

Release files / ssegmetrics-0.1.0.tar.gz

Download URL	ssegmetrics-0.1.0.tar.gz
Size	3.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`ba0ebe27c3609aacf1cc473a43ebaf1b020162934b932245f483ecbfb0f76e7e`
BLAKE2b-256 checksum How to use checksums	`fe2087a129bbafe5a912d188c917da2d9ea633c298b3e82ef5896a144b218376`
Upload date	Apr 17, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10`

Release files / ssegmetrics-0.1.0-py3-none-any.whl

Download URL	ssegmetrics-0.1.0-py3-none-any.whl
Size	8.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`949b3230170396ea49da6e172971baa623839f4399e5fe0bc8b911caef8d92d2`
BLAKE2b-256 checksum How to use checksums	`c90ad76c688066d538537253297f2a31fa4cf377596b6ca4106de87052c179c8`
Upload date	Apr 17, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10`

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0.1.0 This release

Apr 17, 2022 2 release files No provenance

ssegmetrics 0.1.0