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GitHub / intel-iot-devkit / concurrent-video-analytic-pipeline-optimization-sample-l

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/intel-iot-devkit%2Fconcurrent-video-analytic-pipeline-optimization-sample-l

Stars: 50
Forks: 14
Open issues: 4

License: other
Language: C++
Size: 8.66 MB
Dependencies parsed at: Pending

Created at: over 5 years ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 11 months ago

Topics: computer-vision, deep-learning, edge, edge-ai, edge-computing, image-recognition, inference, intel, live-demo, machine-learning, object-detection, openvino, pretrained-models, real-time, reference-implementation, video

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