Coral from Google - GstInference - Introduction
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Introduction | |
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GStreamer | |
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GstInference | |
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Reference Documentation | |
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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.
![](/wiki/images/thumb/d/df/Coral_example.png/600px-Coral_example.png)
GstInference and R2Inference are supported by Coral. To install it, follow these guides:
- Getting R2Inference code
- Building R2Inference: Coral is optimized for Tensorflow Lite. For installation, please follow the Guide to install TFLite for ARM64.
- Getting GstInference code
- Building GstInference
After the installation is completed, you can generate GStreamer pipelines for Coral using different GstInference elements in this Pipeline Generator Tool.