[RDK X5][OccNet]用MIPI进行OCC在线推理,在rviz2无法查看占用网格

用SC230AI想进行OCC在线推理,注意到有mipi-occ,故在mipi_occ_node.launch.py中修改输入图像参数,具体为

# mipi stereo camera node
    mipi_cam_node = IncludeLaunchDescription(
        PythonLaunchDescriptionSource(
            os.path.join(
                get_package_share_directory("mipi_cam"),
                "launch/mipi_cam_dual_channel.launch.py",
            )
        ),
        launch_arguments={
          #"frame_id": "camera_link",
            "log_level": "warn",
            "mipi_image_width": "640",
 	    "mipi_image_height": "352",
        }.items(),
    )

按照教程在rviz2设置参数后:


设置后可以得到实时的推理结果,但无法在rviz2查看占用的网格,如何解决呢?

log为

[dstereo_occnet_node-2] [A][DNN][packed_model.cpp:247][Model](2025-12-15,17:54:31.533.549) [HorizonRT] The model builder version = 1.24.4
[mipi_cam-1] [WARN] [1765792472.386339682] [mipi_cap]: X5 start gdc cal.
[mipi_cam-1]
[mipi_cam-1] [WARN] [1765792473.128637855] [mipi_cam]: [init]->cap sc230ai-30fps init success.
[mipi_cam-1]
[hobot_codec_republish-3] [WARN] [1765792473.234263070] [HobotVenc]: init_pic_w_: 640, init_pic_h_: 704, alined_pic_w_: 640, alined_pic_h_: 704, aline_w_: 16, aline_h_: 16
[hobot_codec_republish-3] [WARN] [1765792475.528828615] [hobot_codec_encoder]: Sub imgRaw fps [4.76]
[hobot_codec_republish-3] [WARN] [1765792475.532350038] [hobot_codec_encoder]: Pub img fps [4.75]

rdkos_info_X5.txt (20.6 KB)

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你好,ZED-2i双目occ的截断范围是多少呀?双目occ离线推理后的结果offline_result的格式是什么?可以提取到语义信息吗?

occgrid.txt:
54 62 9
54 63 9
55 46 9
55 47 9
55 48 9
55 49 9
55 50 9
55 51 9
55 52 9

您好,X5 目前支持的是基础版 OCC(仅含障碍物几何信息)。针对需要语义理解的高性能 OCC 场景,S100 和 S600 系列会有更完善的硬件支持和算法适配。

截断范围手册没有明确说明,需要观察模型的输入输出和源码来确定了