aws-samples / automating-livestream-video-monitoring

This repo presents a demo application for realtime livestream video quality monitoring using AWS serverless and AI/ML services.

Date Created 2020-10-05 (4 years ago)

Commits 28 (last one about a year ago)

Stargazers 41 (0 this week)

Watchers 13 (0 this week)

Forks 53

License mit-0

Ranking

RepositoryStats indexes 589,134 repositories, of these aws-samples/automating-livestream-video-monitoring is ranked #510,721 (13th percentile) for total stargazers, and #166,076 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,924/17,281.

aws-samples/automating-livestream-video-monitoring is also tagged with popular topics, for these it's ranked: machine-learning (#7,221/7978), lambda (#353/392), hls (#230/248)

Other Information

aws-samples/automating-livestream-video-monitoring has 2 open pull requests on Github, 25 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 0 closed issues.

Homepage URL: https://aws.amazon.com/blogs/media/automate-broadcast-video-monitoring-using-machine-learning-on-aws/

All Topics

s3 hls lambda appsync dynamodb elemental cloudfront rekognition livestreaming step-functions machine-learning video-processing-pipeline

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19 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-10-25 @ 01:34pm, id: 301462259 / R_kgDOEffy8w