We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional neural networks and deeply-supervised nets. HED automat

NYU Depth Dataset V2数据集的开发工具箱，包含计算图片各种特征的matlab文件.如： camera_params.m - Contains the camera parameters for the Kinect used to capture the data. crop_image.m – Crops an image to use only the area when the depth signal is projected. fill_depth_colori

基于AlexNet网络模型的单幅彩色图的深度估计，在NYU Depth 数据集，Make3D 数据集，KITTI 数据集经过测试效果很好，只是本次上传由于大小限制，压缩包不包括数据集，读者可自行下载数据集进行训练！(Based on the AlexNet network model, the depth estimation of a single color map, in the NYU Depth dataset, Make3D dataset, KITTI dataset ha