Engineered solutions that balance performance and efficiency
The following optimizations are recommended for the real-time challenges of video processing:
- tiered processing architecture: 1) Real-time layer to process keyframes (5fps) 2) Offline layer to complete depth analysis 3) Incremental update of memory mapping
- Hardware Selection Recommendations: 1) Use RTX3090*2 in inference phase 2) Use NVMe SSD to accelerate data read/write 3) Enable TensorRT optimization
- algorithm optimization: 1) Dynamically adjusting the video slice length 2) Implementing a memory compression algorithm 3) Setting up a whitelist of entities to focus on
Implementation points: 1) Configure CUDA environment in setup.sh 2) Adjust memorization parameter to achieve hierarchical processing 3) Accelerate inference using vLLM. This scheme can reduce the processing latency by 70%.
This answer comes from the articleM3-Agent: a multimodal intelligence with long-term memory and capable of processing audio and videoThe
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