# qtimlvclassification

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

qtimlvclassification 插件处理将图像分类模型的张量从 ML 推理插件（如 qtimltflite、qtimlsnpe 和 qtimlqnn）输出到预测结果中。

协商的 [GstCaps](https://gstreamer.freedesktop.org/documentation/gstreamer/gstcaps.html) 确定插件输出上的已处理输出。它可以是以下任一项：

- 图像掩码（GstCaps：video/x-raw），可以使用 qtivcomposer 将其应用于原始图像。
- 包含预测结果的 GStreamer 格式文本（GstCaps：text/x-raw）。

qtimlvclassification 插件使用基于 CPU 的 [Cairo](https://www.cairographics.org) 2D 图形库作为图像叠加蒙版。图像叠加掩码使其能够在 ION/DMA 缓冲区中绘制预测结果。GstImageBufferPool 自定义缓冲池类通过 IOCTL 命令将 ION/DMA 缓冲区分配给内核。

在通用文本格式中，预测结果在使用常规系统内存分配的缓冲区内解析为 GStreamer 格式的字符串。

插件的模块和标签属性决定了用于后处理操作的方法。

- module 属性指定后处理模块，该模块在 runtime 使用包含前缀的可用库 `in /usr/lib/gstreamer-1.0/ml/modules/` 进行填充和动态运行 `ml-vclassification-`
- labels 属性是一个自定义文本文件，对于需要为预测标签提供的每个机器学习检测模型都不同。

可选属性可用于调整预测结果。使用结果控制显示的结果数，使用阈值设置预测的置信度阈值，不显示置信度低于阈值的结果。

Figure : 目标检测架构的后处理
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)

Figure : pipeline 中的 QTimlv 分类
            ![](data:image/png;base64,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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) → GstMLVideoClassification

下表提供了有关 qtimlsnpe 的设备接插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/80-70014-50Y/topic/qualcomm-neural-processing-sdk-use-cases.html) 和 [TensorFlow Lite 用例](https://docs.qualcomm.com/doc/80-70014-50Y/topic/tensorflow-lite-use-cases.html) 中的分类使用案例。

## 接插口配置

| 接插口名称 | 处理能力 | 处理能力 | 处理能力 |
| --- | --- | --- | --- |
| SINK 模板： 'sink'<br><br><br>                                <br>*可用性：*根据要求<br><br><br>                                <br>*方向：接收设备* | 神经网络/张量 | – | – |
| SRC 模板："src"<br><br><br>                                <br>*可用性：*总是<br><br><br>                                <br>*方向：源* | video/x-RAW | 格式： | { (string)BGRA, (string)BGRx, (string)BGR16 } |
| SRC 模板："src"<br><br><br>                                <br>*可用性：*总是<br><br><br>                                <br>*方向：源* | video/x-raw(memory:GBM) | 格式： | { (string)BGRA, (string)BGRx, (string)BGR16 } |
| SRC 模板："src"<br><br><br>                                <br>*可用性：*总是<br><br><br>                                <br>*方向：源* | text/x-raw | 格式： | { (string)utf8 } |
|  |  |  |  |
|  |  |  |  |

## 组件配置

Table : qtimlvclassification 的组件属性

| 属性 | 说明 |
| --- | --- |
| name | <ul class="ul" id="qtimlvclassification__ul_prs_5d3_nyb"><br>                                    <li class="li">对象名称</li><br><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li">字符串。默认值："mlvideoclassification0"</li><br><br>                                </ul> |
| parent | <ul class="ul" id="qtimlvclassification__ul_qrs_5d3_nyb"><br>                                    <li class="li">对象的父级</li><br><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 | <ul class="ul" id="qtimlvclassification__ul_rrs_5d3_nyb"><br>                                    <li class="li">处理服务质量事件</li><br><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<br><br><br>                                <br>标志：可读、可写<br><br><br>                                <br>枚举 "GstMLVideoClassificationModules" 默认值：0, "none"<br><ul class="ul" id="qtimlvclassification__ul_ry3_wd3_nyb"><br>                                    <li class="li">（0）：none - 无模块，默认无效模式</li><br><br>                                    <li class="li">(1): MobileNet - ml-vclassification-MobileNet</li><br><br>                                </ul> |
| labels | <ul class="ul" id="qtimlvclassification__ul_srs_5d3_nyb"><br>                                    <li class="li">标签文件名</li><br><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> |
| results | <ul class="ul" id="qtimlvclassification__ul_trs_5d3_nyb"><br>                                    <li class="li">要显示的结果数</li><br><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li">无符号整型。范围：0 - 10 默认值：5</li><br><br>                                </ul> |
| threshold | <ul class="ul" id="qtimlvclassification__ul_urs_5d3_nyb"><br>                                    <li class="li">置信度阈值（%）</li><br><br>                                    <li class="li">标志：可读、可写</li><br><br>                                    <li class="li">双精度浮点型。范围：10.0 - 100.0 默认值：10.0</li><br><br>                                </ul> |

**Parent Topic:** [Qualcomm GST 插件](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qim-sdk-plugins.html)

Last Published: Nov 11, 2025

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