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OpenCV 4.5.5 introduces audio support in VideoCapture, updates SOVERSION handling, adds OpenVINO 2021.4.2 LTS compatibility, expands ONNX test coverage, upgrades protobuf, optimizes for RISC‑V, and enhances the G‑API module with numerous vectorized kernels, SIMD scheduling, and various bug fixes.
This article details how 58.com’s end‑to‑end deep‑learning platform was optimized for higher CPU and GPU inference performance using Intel MKL, OpenVINO, mixed TensorFlow deployment, GPU virtualization, and a Prometheus‑Grafana monitoring system, achieving a 37% reduction in GPU usage and a 146% increase in average GPU utilization.
To alleviate GPU scarcity, iQIYI’s cloud platform migrated deep‑learning inference to CPUs and applied system‑level (MKL‑DNN, OpenVINO), application‑level, and algorithm‑level optimizations—tuning threads, batch size, NUMA, pruning and quantization—delivering 1‑9× speedups across thousands of cores while preserving latency and accuracy.