Skip to content

Update README.md #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
tobiasmo1 wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Update README.md #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 1 addition & 2 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,7 @@

Video Analytics Serving provides the structure and key components needed to bootstrap development of visual processing solutions. Video Analytics Serving has been designed to simplify the deployment and use of hardware optimized video analytics pipelines. A reference service implementation exposes RESTful interfaces that make use of example pipelines to get you started.

These endpoints and pipelines may be customized to negotiate the inputs and outputs appropriate to many use cases. Developers may choose to customize and then execute pre-defined video analytics (VA) pipelines in either [GStreamer](https://github.com/opencv/gst-video-analytics/wiki)
or [FFmpeg](https://github.com/OpenVisualCloud/Dockerfiles/blob/master/doc/ffmpeg.md).
These endpoints and pipelines may be customized to negotiate the inputs and outputs appropriate to many use cases. Developers may choose to customize and then execute pre-defined video analytics (VA) pipelines in either [GStreamer](https://github.com/opencv/gst-video-analytics/wiki) or [FFmpeg](https://github.com/OpenVisualCloud/Dockerfiles/blob/master/doc/ffmpeg.md).

Each VA pipeline type defines the semantics of its customizable parameters. These parameters are included in requests to start a pipeline and will influence the runtime behavior of a VA pipeline. In this way VA pipeline developers may define named and versioned VA pipelines and expose them to users via simple RESTful interfaces.

Expand Down