# 图像分割

Source: [https://docs.qualcomm.com/doc/80-70014-50Y/topic/gst-ai-segmentation.html](https://docs.qualcomm.com/doc/80-70014-50Y/topic/gst-ai-segmentation.html)

此 **gst-ai-segmentation** 程序使您能够将图像划分为不同且有意义的部分或段，并根据属性的相似性为每个同质段分配标签。该程序展示了如何使用 Qualcomm Neural Processing SDK runtime 和 TFLite runtime 进行图像分割。

该图显示了 pipeline，该 pipeline 采集实时摄像头馈送，预处理视频数据，使用 AI 硬件运行推理，并在屏幕上显示分段数据。有关 pipeline 流中使用的插件的信息，请参阅 [Pipeline 流程](https://docs.qualcomm.com/doc/80-70014-50Y/topic/gst-ai-segmentation.html#gst-ai-segmentation__section_xb4_p1s_lbc)。

Figure : gst-ai-segmentation pipeline
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## 前提条件

- 将模型和标签文件推送到设备以运行应用程序。关于更多详细信息，请参阅[下载模型和标签文件](https://docs.qualcomm.com/doc/80-70014-50Y/topic/ai-ml-sample-applications.html#ai-ml-sample-applications__prereq_v23_cxc_gbc)。
- 在 Permissive 模式下启用 SSH 以安全访问主机设备。相关说明，可参见 [SSH 使用指南](https://docs.qualcomm.com/bundle/publicresource/topics/80-70014-254/how_to.html#how-to-ssh-)
- 使用以下命令进入 SSH shell 并执行用例：

        ssh root@<ip-addr of the target device>Copy to clipboard
- 运行以下命令以启用 Permissive 模式：

        setenforce 0Copy to clipboard
- 运行以下命令，开启显示屏：

        export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard
- 运行以下命令，从主机推送文件：

        scp <filename> root@<IP address of target device>:/opt/Copy to clipboard

## 用例

Note: 以下命令提供默认模型和标签路径。如果文件夹结构不同，请替换命令行参数中的默认路径。

要使用 uint8 功能，请在以下命令中复制 uint8 DeepLabv3 模型：

    cp /opt/deeplabv3_resnet50.tflite /opt/deeplabv3_resnet50_uint8.tfliteCopy to clipboard

- 运行以下命令，使用 Qualcomm Neural Processing SDK runtime 执行 deeplabv3\_resnet50 模型。

        gst-ai-segmentation --ml-framework=1 --model=/opt/deeplabv3_resnet50.dlc --labels=/opt/deeplabv3_resnet50.labelsCopy to clipboard
- 执行以下命令，使用 TFLite runtime 执行 deeplabv3\_resnet50 模型。

        gst-ai-segmentation --ml-framework=2 --model-format=1 --model=/opt/deeplabv3_resnet50.tflite --labels=/opt/deeplabv3_resnet50.labelsCopy to clipboard

如需显示可用的帮助选项，可运行以下命令：

    gst-ai-segmentation -hCopy to clipboard

如需停止用例，请按下 CTRL + C。

## 预期输出

分段数据显示在本地显示器上。

Figure : gst-ai-segmentation 程序的预期输出
                ![](data:image/png;base64,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)

## Pipeline 流程

下表列出了用于执行图像分割 pipeline 的插件：| 插件 | 说明 |
| --- | --- |
| [qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtiqmmfsrc.html) | 采集摄像头实时流，并使用 tee 拆分流以进行推理。 |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtimlvconverter.html) | <ol class="ol" id="gst-ai-segmentation__ol_j34_ddg_q1c"><br>                                    <li class="li">在其接收设备接插口上接收视频流。</li><br><br>                                    <li class="li">对流数据执行以下预处理。当模型需要浮点值作为输入时，会执行此操作。<ol class="ol" type="a" id="gst-ai-segmentation__ol_m5z_cpr_lbc"><br>                                            <li class="li">色彩转换</li><br><br>                                            <li class="li">缩放（向上或向下）</li><br><br>                                            <li class="li">归一化</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li">将预处理的视频流转换为其源接插口上的张量数据。</li><br><br>                                </ol><br><br>                                <br>张量数据用于 pipeline 后期的推理。 |
| [qtimlsnpe](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtimlsnpe.html) 和 [qtimltflite](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtimltflite.html) | **qtimlsnpe**：提供 ML 推理功能<ul class="ul" id="gst-ai-segmentation__ul_d4s_jhs_lbc"><br>                                    <li class="li">在 Qualcomm Neural Processing SDK runtime 内运行。</li><br><br>                                    <li class="li">用于 <span class="ph filepath">deeplabv3_resnet50.dlc</span> 图像分割。</li><br><br>                                </ul><br>**qtimltflite**：作为 qtimlsnpe 的替代选项。<ul class="ul" id="gst-ai-segmentation__ul_qls_lzr_lbc"><br>                                    <li class="li">在 TFLite runtime 上运行。</li><br><br>                                    <li class="li">使用 <span class="ph filepath">deeplabv3_resnet50.tflite</span> 模型进行图像分割。</li><br><br>                                </ul><br><br>程序在外部 delegate 上运行，以使用 Qualcomm Hexagon Tensor 处理器执行模型。<br><br><br>推理 runtime 在其设备接插口上接收到张量数据后，qtimlsnpe 或 qtimltflite 执行以下操作：<br><ul class="ul" id="gst-ai-segmentation__ul_xvz_d3s_lbc"><br>                                    <li class="li">执行推理。</li><br><br>                                    <li class="li">生成包含推理结果的张量数据，然后在其源接插口上提供该张量数据。</li><br><br>                                </ul> |
| [qtimlvsegmentation](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtimlvsegmentation.html) | 将在其设备接插口上接收的推理张量转换为视频格式，供多媒体插件用于进一步处理。 |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtivcomposer.html) | <ol class="ol" id="gst-ai-segmentation__ul_mr1_d1s_lbc"><br>                                    <li class="li">通过组合其设备接插口中的内容来合成帧。</li><br><br>                                    <li class="li">将包含这些组合帧的 GStreamer 缓冲区推送到其源接插口。</li><br><br>                                </ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70014-50Y/topic/waylandsink.html) | 将设备接插口上接收的视频流转发到 Wayland 合成器，后者在本地显示器上呈现视频流。 |

**Parent Topic:** [AI/ML 示例应用](https://docs.qualcomm.com/doc/80-70014-50Y/topic/ai-ml-sample-applications.html)

Last Published: Nov 11, 2025

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