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{{Coral from Google/Head|next=GstInference/Why_use_GstInference%3F|previous=GstInference|keywords=}} | {{Coral from Google/Head|next=GstInference/Why_use_GstInference%3F|previous=GstInference|keywords=}} | ||
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{{DISPLAYTITLE:Introduction to GstInference on Coral from Google |noerror}} | {{DISPLAYTITLE:Introduction to GstInference on Coral from Google |noerror}} | ||
== GstInference Description == | == GstInference Description == | ||
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Deep Learning (DL) has revolutionized classic computer vision techniques to enable even more intelligent and autonomous systems. To ease the software development burden for complex embedded visual Deep Learning applications, a multimedia framework, such as GStreamer, is utilized to simplify the task. The Open Source GStreamer audio video streaming framework is a good choice as it separates the complexities of handling streaming video from the inference models processing the individual frames. GstInference is an open-source GStreamer project sponsored by RidgeRun that allows easy integration of deep learning networks into your video streaming application. | Deep Learning (DL) has revolutionized classic computer vision techniques to enable even more intelligent and autonomous systems. To ease the software development burden for complex embedded visual Deep Learning applications, a multimedia framework, such as GStreamer, is utilized to simplify the task. The Open Source GStreamer audio video streaming framework is a good choice as it separates the complexities of handling streaming video from the inference models processing the individual frames. GstInference is an open-source GStreamer project sponsored by RidgeRun that allows easy integration of deep learning networks into your video streaming application. |