importers.py 文件源码

def depthToPCL(dpt, T, background_val=0.):

        # get valid points and transform
        pts = np.asarray(np.where(~np.isclose(dpt, background_val))).transpose()
        pts = np.concatenate([pts[:, [1, 0]], np.ones((pts.shape[0], 1), dtype='float32')], axis=1)
        pts = np.dot(np.linalg.inv(np.asarray(T)), pts.T).T
        pts = (pts[:, 0:2] / pts[:, 2][:, None]).reshape((pts.shape[0], 2))

        # replace the invalid data
        depth = dpt[np.where(~np.isclose(dpt, background_val))]

        # get x and y data in a vectorized way
        row = (pts[:, 0] - 320.) / 460. * depth
        col = (pts[:, 1] - 240.) / 460. * depth

        # combine x,y,depth
        return np.column_stack((row, col, depth))