Target detection algorithm based on deep learning needs high computer GPU configuration, even need to use high performance deep learning workstation, this not only makes the cost increase, also greatly limits the realizability of the ground, this paper introduces a kind of lightweight algorithm for target detection under the condition of the balance accuracy and computational efficiency, MobileNet as Backbone performs parameter The processing speed is 30fps on the RTX2060 card for images with the CNN separator layer. The processing speed is 30fps on the RTX2060 card for images with a resolution of 320*320.

翻译：基于深度学习的目标检测算法对计算机GPU配置要求较高，甚至需要使用高性能深度学习工作站，这不仅导致成本增加，也极大限制了算法在实际场景中的可部署性。本文提出一种轻量化目标检测算法，在平衡精度与计算效率的条件下，以MobileNet作为主干网络进行参数处理。对于分辨率为320*320的图像，采用CNN分离层，在RTX2060显卡上处理速度达到30fps。