# 图像分割 Source: [https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-segmentation.html](https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-segmentation.html) **gst-ai-segmentation** 应用程序能够将图像划分为不同且有意义的部分或片段，并根据属性的相似性为每个同质片段分配标签。该应用程序展示了如何使用 Qualcomm Neural Processing SDK runtime、Qualcomm AI Engine Direct runtime 和 LiteRT 进行图像分割。 该图显示了一个 pipeline，该 pipeline 从实时摄像头流、文件、或 RTSP 流获取输入，对视频数据执行预处理，使用 AI 硬件运行推理，并在屏幕上显示分段的数据。 有关 pipeline 流中使用的插件的信息，请参阅 [Pipeline 流](https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-segmentation.html#gst-ai-segmentation__section_xb4_p1s_lbc)。 Figure : gst-ai-segmentation pipeline ![](data:image/jpeg;base64,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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。相关说明，参见以下内容： - [下载 Qualcomm Neural Processing SDK 的模型、标签和 config JSON 文件](https://docs.qualcomm.com/doc/80-70017-50SC/topic/ai-ml-sample-applications.html#ai-ml-sample-applications__section_chl_dgz_scc) - [下载 LiteRT 和 Qualcomm AI Engine Direct 的模型、标签和 config JSON 文件](https://docs.qualcomm.com/doc/80-70017-50SC/topic/ai-ml-sample-applications.html#ai-ml-sample-applications__section_fsl_lgz_scc) 该应用程序支持 Qualcomm Neural Processing SDK、Qualcomm AI Engine Direct 和 LiteRT 模型。 - 要访问您的主机设备，请启用 SSH。相关说明，可参见[使用 SSH 登录](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-254/how_to.html#use-ssh)。 注释： 如果 SSH 已启用，则可以跳过此步骤。 - 从 Linux 主机推送文件： scp root@:/opt/Copy to clipboard - 将 video.mp4 文件推送到 opt 文件夹中。 - 进入 SSH shell 并运行用例： ssh root@Copy to clipboard - 启用显示屏： export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard 注释： 对于 QCS8275，不支持摄像头用例。请使用文件或 RTSP 作为输入源。 ## 运行应用程序 示例应用程序使用 /opt/config\_segmentation.json 文件读取输入参数。 要创建自己的 config JSON 文件，请使用 [config_segmentation.json](https://git.codelinaro.org/clo/le/platform/vendor/qcom-opensource/gst-plugins-qti-oss/-/blob/imsdk.lnx.2.0.0.r2-rel/gst-sample-apps/gst-ai-segmentation/config_segmentation.json?ref_type=heads) 作为参考。 要运行该应用程序，请使用以下格式的 config\_segmentation.json 文件： { "file-path": "", "ml-framework": "", "model": "", "labels": "", "constants": "", "runtime": "" }Copy to clipboard gst-ai-segmentation --config-file=/opt/config_segmentation.jsonCopy to clipboard | 字段 | 值/描述 | | --- | --- | | **ml-framework** | **ml-framework** | | `snpe` | 使用 Qualcomm Neural Processing SDK 模型。 | | `tflite` | 使用 LiteRT 模型。 | | `qnn` | 使用 Qualcomm AI Engine Direct 模型。 | | **runtime** | **runtime** | | `cpu` | 在 CPU 上运行。 | | `gpu` | 在 GPU 上运行。 | | `dsp` | 在数字信号处理器 (DSP) 上运行。 | | **输入源** | **输入源** | | `camera` |

  • 0 – 主摄像头


  • 1 – 辅助摄像头


| | `file-path` | 视频文件的路径。 | | `rtsp-ip-port` | RTSP 流的地址，格式为 rtsp://<ip>:<port>/<stream>。 | 关于模型和标签文件，请参阅[示例模型和标签文件](https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-segmentation.html#gst-ai-segmentation__section_bwy_4jb_4dc)。 使用 DeepLabV3-Plus-MobileNet LiteRT 模型、DSP runtime、自定义模型和标签路径，以及视频文件中的常量运行应用程序： { "file-path": "/opt/video.mp4", "ml-framework": "tflite", "model": "/opt/deeplabv3_plus_mobilenet_quantized.tflite", "labels": "/opt/deeplabv3_resnet50.labels", "constants": "deeplab,q-offsets=<0.0>,q-scales=<1.0>;", "runtime": "dsp" }Copy to clipboard gst-ai-segmentation --config-file=/opt/config_segmentation.jsonCopy to clipboard 注释： `q-scales` 和 `q-offsets` 常量的值分别为 `<1.0>` 和 `<0.0>`。 要显示可用的帮助选项，请在 SSH shell 中运行以下命令： gst-ai-segmentation -hCopy to clipboard 如需停止用例，可按下 CTRL + C。 ## 预期输出 分段数据显示在本地显示器上。 Figure : gst-ai-segmentation 应用程序的预期输出 ![](data:image/png;base64,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) ## Pipeline 流 该表列出了图像分割 pipeline 中使用的插件： | 插件 | 说明 | | --- | --- | | 摄像头源：[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtiqmmfsrc.html) |

  • 从摄像头采集实时流。


  • 使用 tee 拆分流进行推理。


| | 文件源：filesrc |

  • 使用 filesrc 采集视频流，然后使用 qtdemux 对视频流进行解复用。


  • 使用 tee 拆分流进行推理。


| | RTSP 源：rtspsrc |

  • 使用 rtspsrc 采集 RTSP 流，然后使用 rtph264depay 进行视频提取。


  • 使用 tee 拆分流进行推理。


| | h264parse | 渲染 H.264 视频。 | | [v4l2h264dec](https://docs.qualcomm.com/doc/80-70017-50SC/topic/v4l2h264dec.html) | 解码视频 | | [qtimlvconverter](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvconverter.html) |

  1. 在其接收端上接收视频流。


  2. 对流数据执行以下预处理。当模型需要浮点值作为输入时，会执行此预处理。

    1. 颜色转换


    2. 缩放（向上或向下）


    3. 归一化





  3. 将预处理的视频流转换为其发送端上的张量数据流。





张量数据流用于 pipeline 后期的推理。 | | 推理插件： |

  1. 推理 runtime 在其接收端上接收到张量数据后，会运行推理。


  2. 生成一个张量数据流，并在其发送端上显示推理结果。


| | [qtimlvsegmentation](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvsegmentation.html) | 将接收端上接收到的推理张量转换为视频格式，多媒体插件将对其进行后续处理。 | | [qtivcomposer](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtivcomposer.html) |

  1. 通过组合其接收端上的内容来合成帧。


  2. 将包含这些组合帧的 GStreamer 缓存推送到其发送端。


| | [Waylandsink](https://docs.qualcomm.com/doc/80-70017-50SC/topic/waylandsink.html) |

  1. 将其接收端上接收的视频流转发到 Weston。


  2. Weston 在本地显示器上渲染视频流。


| ## 示例模型和标签文件 | Runtime | 模型文件 | 标签文件 | | --- | --- | --- | | Qualcomm Neural Processing SDK | deeplabv3_resnet50.dlc | deeplabv3_resnet50.labels | | LiteRT | deeplabv3_plus_mobilenet_quantized.tflite | deeplabv3_resnet50.labels | | Qualcomm AI Engine Direct | deeplabv3_plus_mobilenet_quantized.bin | deeplabv3_resnet50.labels | | | | | | | | | ## 已知问题 - 使用 Qualcomm Neural Processing SDK 模型时观察到 FPS 下降。 - 使用 Qualcomm AI Engine Direct 模型时在 QCS9075 上观察到 FPS 下降。 - HTP 上的模型推理比 GPU 更快。 **上一级主题：** [AI/ML 示例应用程序](https://docs.qualcomm.com/doc/80-70017-50SC/topic/ai-ml-sample-applications.html) Last Published: Nov 11, 2025 [Previous Topic 姿态检测](https://docs.qualcomm.com/bundle/publicresource/80-70017-50SC/topics/gst-ai-pose-detection.md) [Next Topic 并行 AI 融合](https://docs.qualcomm.com/bundle/publicresource/80-70017-50SC/topics/gst-ai-parallel-inference.md)