I’m looking to capture video output for a proof of concept in hour increments with the intent of:
a) Utilizing the raw video as a source for further augmentation of training data.
b) Randomly sample video with detections for accuracy of the deployed solution.
This video will be uploaded to a cloud provider on a periodic basis or on demand. Can a deepstream pipeline be configured to “tee” the video in this manner? Any other thoughts about how to best approach this?