BeaverDam | Video annotation tool for deep learning training labels | Computer Vision library

by antingshen JavaScript Version: Current License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | BeaverDam Summary

BeaverDam is a JavaScript library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. BeaverDam has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This tool is for drawing object bounding boxes in videos. It also includes support for Amazon Mechanical Turk. See the [paper] With small amount of changes, you can also: - Draw bounding boxes in images - Add additional attributes in bounding boxes - Use a custom keyframe scheduler instead of user-scheduled keyframes. This tool currently does not support semantic segmentation.

Support

Quality

Security

License

Reuse

Support

BeaverDam has a low active ecosystem.

It has 189 star(s) with 92 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 28 open issues and 61 have been closed. On average issues are closed in 100 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of BeaverDam is current.

Quality

BeaverDam has 0 bugs and 0 code smells.

Security

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

BeaverDam code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

BeaverDam is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

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

Installation instructions, examples and code snippets are available.

BeaverDam saves you 7211 person hours of effort in developing the same functionality from scratch.

It has 14914 lines of code, 102 functions and 77 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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BeaverDam Key Features

No Key Features are available at this moment for BeaverDam.

BeaverDam Examples and Code Snippets

No Code Snippets are available at this moment for BeaverDam.

Community Discussions

Trending Discussions on BeaverDam

Issues opening static files using djnago in BeaverDam

QUESTION

Issues opening static files using djnago in BeaverDam

Asked 2020-May-15 at 14:51

I am trying to use the video annotation tool BeaverDam to annotate a static video offline. https://github.com/antingshen/BeaverDam

I have a video file 0.mp4 in the directory '/home/arl/BeaverDam/annotator/static/videos'

I then included the STATICFILES_DIRS in the setup file: https://github.com/antingshen/BeaverDam/blob/master/beaverdam/settings.py

...

ANSWER

Answered 2018-Dec-28 at 21:28

STATICFILES_DIRS is paths where django looking for static files. STATIC_ROOT is place from which it serve them. You actually need to collect static for serve it using simple command:

Source https://stackoverflow.com/questions/53963958

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

Vulnerabilities

No vulnerabilities reported

Install BeaverDam

Make sure Python 3 is installed. If not: brew install python3 (Mac) or sudo apt-get install python3 (Ubuntu). Make sure virtualenv is installed. If not: pip3 install virtualenv or maybe sudo pip3 install virtualenv. Make the Python virtualenv for this project: scripts/setup. Download sample data: scripts/seed -f. When running any ./manage.py commands, use source venv/bin/activate to enter venv first. See /deployment for tips on using BeaverDam for production.
Clone this repository.
cd BeaverDam
Make sure Python 3 is installed. If not: brew install python3 (Mac) or sudo apt-get install python3 (Ubuntu)
Make sure virtualenv is installed. If not: pip3 install virtualenv or maybe sudo pip3 install virtualenv
Make the Python virtualenv for this project: scripts/setup
Download sample data: scripts/seed -f