View source for AI Based Object Redaction/Examples/GStreamer Pipelines

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== GStreamer Pipelines ==

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This section provide basic usage examples of pipelines to use the Object Redaction elements. The pipelines must be compound of one detection element followed by a redaction element.

Currently the plug-in only contains one detection element to detect faces and one redaction element to redact using a blurring algorithm.

=== Redact Video files ===

The following pipeline receives a input video file and outputs a MP4 video file with the redact faces.

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gst-launch-1.0 filesrc location=input_video.mp4 ! qtdemux ! h264parse ! nvv4l2decoder ! nvvidconv ! queue ! rrfacedetector ! queue ! rrobjectredactor  ! queue ! nvvidconv !  nvv4l2h264enc ! h264parse ! qtmux ! filesink location=output.mp4
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The following pipeline receives a input video file and outputs a AVI video file with the redact faces.This video can be open with the Avidemux video player and editor.

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gst-launch-1.0 filesrc location=input_video.mp4 ! qtdemux ! h264parse ! nvv4l2decoder ! nvvidconv ! queue ! rrfacedetector ! queue ! rrobjectredactor  ! queue ! nvvidconv !  nvv4l2h264enc ! h264parse ! avimux ! filesink location=output.avi
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=== Redact from camera input ===

The following pipeline receives an input video from a live camera and displays the redact video.

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gst-launch-1.0 v4l2src ! nvvidconv ! queue ! rrfacedetector ! queue ! rrobjectredactor  ! queue ! nvvidconv !  xvimagesink
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