modelmhl.py 文件源码

def read_depth_small(self, filename):
    depth_mat = sio.loadmat(filename)
    depthtmp=depth_mat["depth"]
    ds = depthtmp.shape

    if self.is_crop:
      depth = scipy.misc.imresize(depthtmp,(self.output_height,self.output_width),mode='F')
    depth = np.array(depth).astype(np.float32)
    depth = np.multiply(self.max_depth,np.divide(depth,depth.max()))

    return depth