autocut | Cut video with a text editor

by mli Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | autocut Summary

autocut is a Python library. autocut has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install autocut' or download it from GitHub, PyPI.

Cut video with a text editor

Support

Quality

Security

License

Reuse

Support

autocut has a medium active ecosystem.

It has 4876 star(s) with 426 fork(s). There are 36 watchers for this library.

It had no major release in the last 6 months.

There are 31 open issues and 30 have been closed. On average issues are closed in 2 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of autocut is current.

Quality

autocut has no bugs reported.

Security

autocut has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

autocut is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

autocut releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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autocut Key Features

No Key Features are available at this moment for autocut.

autocut Examples and Code Snippets

ScienceBeam Gym,Autocut Model,Train autocut model

Python

Lines of Code : 18

License : Permissive (MIT)

Copy

python -m sciencebeam_gym.models.text.crf.autocut_training_pipeline \
  --input-file-list="path/to/input/file-list.lst" \
  --input-xpath="input xpath" \
  --target-file-list="path/to/target/file-list.tsv" \
  --target-file-column=xml_url \
  --targe

ScienceBeam Gym,Run autocut model API

Python

Lines of Code : 6

License : Permissive (MIT)

Copy

AUTOCUT_MODEL_PATH=$(realpath output.pkl) \
  make autocut-start

$curl -X POST -d 'Title: Cat and mouse' http://localhost:8080/api/autocut
Cat and mouse

$curl http://localhost:8080/api/autocut?value=Title:+Cat+and+mouse
Cat and mouse

Label Printer,Usage,AutoCut Feature

PHP

Lines of Code : 5

License : Permissive (MIT)

Copy

// Disable the AutoCut on the printer
$printer->addCommand(new Command\AutoCut(Command\AutoCut::DISABLED));

// Enable the AutoCut on the printer
$printer->addCommand(new Command\AutoCut(Command\AutoCut::ENABLED));

Community Discussions

No Community Discussions are available at this moment for autocut.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install autocut

You can install using 'pip install autocut' or download it from GitHub, PyPI.
You can use autocut like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: