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GstInference/Example Applications/Classification: Difference between revisions
GstInference/Example Applications/Classification (view source)
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This example receives an input video file and classifies each frame into one of 1000 possible classes. For each classified frame the application captures the signal emitted by GstInference, forwarding the prediction to a placeholder for external logic. Simultaneously, the pipeline displays the captured frames with the associated label in a window. Note that the image currently being displayed '''not necessarily''' matches the one being handled by the signal. The display is meant for visualization and debugging purposes. | This example receives an input video file and classifies each frame into one of 1000 possible classes. For each classified frame the application captures the signal emitted by GstInference, forwarding the prediction to a placeholder for external logic. Simultaneously, the pipeline displays the captured frames with the associated label in a window. Note that the image currently being displayed '''not necessarily''' matches the one being handled by the signal. The display is meant for visualization and debugging purposes. | ||