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SSD_NET

训练能识别车灯与祈年殿的SSD模型,模型训练过程参考源码:https://github.com/balancap/SSD-Tensorflow ,在此基础上用自己制作的数据集训练,以达到能识别 车灯与祈年殿的目的。此两类目标的选择主要是为了比对不同尺寸大小的物体的识别率。

运行环境

python3.6 ,tensorfolw1.4, flask

运行界面

执行 python web_ssd.py 在本地运行,路径需要根据本地配置 image image

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