Python logic diagram
2024-10-12 14:20:18 0 Report
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The Python logic diagram provides a comprehensive overview of a human detection system leveraging PersonDetWorkerYOLO for efficient pedestrian detection. It outlines the process of managing RTMP streams, including adding new streams and removing disconnected ones, while monitoring active streams. The system incorporates frame aggregation and a queue monitoring mechanism to optimize data flow. Load balancing is utilized to allocate streams to the appropriate work processes based on available video memory and CPU resources. Additionally, the diagram highlights the action recognition process, where behavior recognition results are uploaded, ensuring a streamlined and efficient workflow for real-time video analysis.
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Outline/Content
PersonDetWorkerYOLO human detection
Result Notification
Process
1. Add new RTMP streams2. Remove disconnected streams3. Get the current number of active RTMP streams
VideoCaptureRTMP Listening
QueueMonitorIn-process data stream queue monitoring
Frame Aggregation
Main process
Pedestrian Detection Process
1. Start working process2. Monitor RTMP stream count3. Load balancing allocates RTMP streams to WorkProcess
Cross-process queue
Data flow
ActionProcessBehavior Recognition Process
ActionNotifyWorkerBehavior recognition result upload
Set the number of worker processes according to the available video memory resources and CPU process resources.
Action Recognition
ActionWorkerBehavior Recognition
Frame Queue
Person Detection
Thread count set according to CPU and graphics card resources
DetAggWorkerVideo frame block aggregation
VideoCaptureManagerRTMP Listening Administrator
1. Open RTMP stream2. Put each frame into the queue waiting for processing
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