# qtimlvsegmentation

Source: [https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvsegmentation.html](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvsegmentation.html)

qtimlvsegmentation 插件处理将图像分割/深度估计模型的张量从 ML 推理插件（例如 qtimltflite、qtimlsnpe 和 qtimlqnn）输出到预测结果中。

处理后的输出是图像掩码（GstCaps：video/x-raw）。[GstCaps](https://gstreamer.freedesktop.org/documentation/gstreamer/gstcaps.html) 确定尺寸和格式，可以使用 qtivcomposer 将其应用于原始图像。

对于此掩码，该组件使用基于 CPU 的 [Cairo](https://www.cairographics.org) 2D 图形库在 ION/DMA 缓存中绘制预测结果。GstImageBufferPool 自定义缓存池类通过 IOCTL 命令将 ION/DMA 缓存分配给内核。

插件的模块和标签属性决定了后处理操作的方法。

- 模块属性指定后处理模块，并在 runtime 使用包含前缀“`ml-vsegmentation-`-”的可用 `/usr/lib/gstreamer-1.0/ml/modules/` 库动态填充。
- labels 属性是一个自定义文本文件，对于必须为预测标签提供的每个机器学习检测模型都不同。

Figure : 使用 qtimlvsegmentation 的 GstBuffer 工作流程
            
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)

## 继承链

[GObject](https://docs.gtk.org/gobject/) → [GstObject](https://gstreamer.freedesktop.org/documentation/gstreamer/gstobject.html?gi-language=c) → [GstElement](https://gstreamer.freedesktop.org/documentation/gstreamer/gstelement.html?gi-language=c) → [GstBaseTransform](https://gstreamer.freedesktop.org/documentation/base/gstbasetransform.html?gi-language=c) → GstMLVideoSegmentation

下表提供了有关 qtimlvsegmentation 的端口模板和组件属性的信息。有关用例信息，请参见在 [Qualcomm Neural Processing SDK 用例](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qualcomm-neural-processing-sdk-use-cases.html) 和 [LiteRT 用例](https://docs.qualcomm.com/doc/80-70017-50SC/topic/tensorflow-lite-use-cases.html) 中的分割使用案例。

## 端口配置

| 端口名称 | 功能 | 功能 | 功能 |
| --- | --- | --- | --- |
| SINK 模板：'sink'<br><ul class="ul" id="qtimlvsegmentation__ul_khm_shg_t1c"><br>                                    <li class="li"><em class="ph i">可用性：</em> 按需</li><br><br>                                    <li class="li"><em class="ph i">方向：</em> 接收端</li><br><br>                                </ul> | neural-network/tensors | – | – |
| SRC 模板：'src'<br><ul class="ul" id="qtimlvsegmentation__ul_wns_shg_t1c"><br>                                    <li class="li"><em class="ph i">可用性：</em> 始终可用</li><br><br>                                    <li class="li"><em class="ph i">方向：</em> 发送</li><br><br>                                </ul> | video/x-raw | format： | { (string)BGRA, (string)BGRx, (string)BGR16 } |
| SRC 模板：'src'<br><ul class="ul" id="qtimlvsegmentation__ul_wns_shg_t1c"><br>                                    <li class="li"><em class="ph i">可用性：</em> 始终可用</li><br><br>                                    <li class="li"><em class="ph i">方向：</em> 发送</li><br><br>                                </ul> | text/x-raw | format： | { (string)utf8 } |
|  |  |  |  |

## 组件配置

Table : qtimlvsegmentation 的组件属性

| 属性 | 说明 |
| --- | --- |
| name | 对象名称<ul class="ul" id="qtimlvsegmentation__ul_w1w_4l3_nyb"><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li">字符串。默认：“mlvideosegmentation0”</li><br><br>                                </ul> |
| parent | 对象的父级<ul class="ul" id="qtimlvsegmentation__ul_x1w_4l3_nyb"><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li">"GstObject" 类型的对象</li><br><br>                                </ul> |
| qos | 处理服务质量事件<ul class="ul" id="qtimlvsegmentation__ul_y1w_4l3_nyb"><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li">Boolean。默认值：false</li><br><br>                                </ul> |
| module | 将用于处理张量的模块名称<ul class="ul" id="qtimlvsegmentation__ul_z1w_4l3_nyb"><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li"><br>                                        <p class="p">枚举 “GstMLVideoSegmentationModules” 默认：0，“none”</p><ul class="ul" id="qtimlvsegmentation__ul_ur2_pl3_nyb"><br>                                            <li class="li"> (0): none - 无模块，默认无效模式</li><br><br>                                            <li class="li"> (1): deeplab-argmax - ml-vsegmentation-deeplab-argmax</li><br><br>                                            <li class="li"> (2): midas-v2 - ml-vsegmentation-midas-v2</li><br><br>                                        </ul><br><br>                                    </li><br><br>                                </ul> |
| labels | 标签的文件名。<ul class="ul" id="qtimlvsegmentation__ul_abw_4l3_nyb"><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li">字符串。默认值：null</li><br><br>                                </ul> |

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Last Published: Nov 11, 2025

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