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Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
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Generally many deep learning architectures are not Real-Time, inference time is 2-3 seconds for standard sized frames on GPU. Here we propose a robust pipeline for Real-Time analysis of road scenes using ENet architecture followed with a temporal tracking part.
Implementation of the paper 'Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks' from scratch.
:racehorse:基于SpringBoot + MySQL + Redis + RabbitMQ + Guava开发的高并发商品限时秒杀系统
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