SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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SegNet是英国剑桥大学Computer Vision and Robotics Group的作品；是一个深度卷积编码-解码结构，用于对图像进行像素级的语义分割；可以将像素分为12类，包括道路、建筑物、电线杆、路牌、行人和骑行者等12类标注，具有实时性；
segnet主页：http://mi.eng.cam.ac.uk/projects/segnet/
Getting Started with SegNet:
http://mi.eng.cam.ac.uk/projects/segnet/tutorial.html
cityscapes-dataset:
https://www.cityscapes-dataset.com/registration-successful/
SegNet source code源码下载，因为是基于caffe的，所以按照caffe编译步骤先编译。
下载caffe:
https://github.com/alexgkendall/caffe-segnet
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