Skip to main content

Experiment support tools

Project description

Build Status Coverage Status PyPI version

exsu

Experiment support tools prepared for computer vision experiments. Output directory and spreadsheet file is managed by package.

  • Spreadsheet data and report images are stored into output directory
  • Images are reported according a selected severity
  • Common spreadseet containing complete history from all output directories can be produced
  • Version of particular python package can be reported in the spreadsheet
  • Repository status, git hash and dirty files can be reported in the spreadsheet

Write spreadsheet data

from pathlib import Path
import exsu

outputdir = Path("./test_report/")
commonsheet = Path("./test_report_common_spreadsheet.xlsx")

report = exsu.report.Report(outputdir=outputdir, additional_spreadsheet_fn=commonsheet)
report.add_cols_to_actual_row({"Col1": 25, "Col2": "test string", "Col5": 5})
report.add_cols_to_actual_row({"Col2": "prepsanu", "Col1": 26, "Col4": "ctyrka"})
report.finish_actual_row()

report.add_cols_to_actual_row({"Col1": 27, "Col2": "test string", "Col3": "trojka"})
report.finish_actual_row()

# Save all into `outputdir` and also into `commonsheet`
report.dump()

# new write to common excel
report.init()
report.add_cols_to_actual_row({"Col1": 28, "Col2": "new line to common", "Col7": 77})
report.finish_actual_row()
report.dump()

Write image data

Write image data into output directory

from pathlib import Path
import numpy as np
import exsu

outputdir = Path("./test_report/")
commonsheet = Path("./test_report_common_spreadsheet.xlsx")

fn = "test_image.png"
img = 50 + np.random.rand(100, 100) * 30
img[20:60, 20:60] += 100
img = img.astype(np.uint8)
report = exsu.report.Report(outputdir=outputdir, additional_spreadsheet_fn=commonsheet)
report.imsave(fn, img)

Git repository info

from pathlib import Path
import numpy as np
import exsu
report = exsu.report.Report(repodir=Path(__file__).parent.resolve())
report.finish_actual_row()
report.df

Output DataFrame

                               repo exsu id  ...  repo exsu dirty files
0  1da301da36cec0fb931f60dd9acca790ec715892  ...      exsu/git_tools.py

More than one repositories can be added with report.add_repo(repodir, reponame=None).

Automatically report versions of selected packages

The version of crucial packages can be reported with the data.

import exsu
report = exsu.report.Report(check_version_of=["numpy", "scipy"])
report.finish_actual_row()
report.df

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

exsu-0.4.5.tar.gz (18.0 kB view details)

Uploaded Source

File details

Details for the file exsu-0.4.5.tar.gz.

File metadata

  • Download URL: exsu-0.4.5.tar.gz
  • Upload date:
  • Size: 18.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for exsu-0.4.5.tar.gz
Algorithm Hash digest
SHA256 61a4e8eff8b771ddbd26361a68f6375259b86f918761ed33c0a16b56959684c0
MD5 3539cc081aba63e9fdc8c3c07b07945e
BLAKE2b-256 113e24664fec6e13356f49056829b6fe3432dcd22c0ae01d4447f9f52e0874e3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page