A MPI programming model for fast bird nest detection on the railway catenary
2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)(2022)
摘要
We propose a MIP programming model for the bird’s nest detection on the railway catenary, which performs coarse-to-fine strategy based on a cascaded YOLO network, and calculates the coarse-level and fine-level detection in parallel for different detected images. Due to the optimization of the parallel pipeline acceleration model, the deep learning network has a running speed equivalent to that of the single-stage network, which can perform real-time detection of bird’s nest.
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关键词
MPI model,YOLO,deep learning,catenary detection,railway
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