def METHOD_NAME(self, N_cameras=120):
    render_poses = torch.stack([
        pose_spherical(angle, -30.0, 4.0)
        for angle in np.linspace(-180, 180, N_cameras + 1)[:-1]
    ], 0)
    blender2opencv = np.array([[1, 0, 0, 0], [0, -1, 0, 0], [0, 0, -1, 0],
                               [0, 0, 0, 1]])
    return render_poses @ torch.Tensor(blender2opencv).float()