# 目标检测

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

此 **gst-ai-object-detection** 程序使您能够检测图像和视频中的对象。这些用例演示了如何使用 Qualcomm Neural Processing SDK runtime 执行 [YOLOv5](https://github.com/ultralytics/yolov5)、[YOLOv8](https://github.com/ultralytics/ultralytics) 和 [YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md)。

该图显示了 pipeline，该 pipeline 接收实时摄像头反馈，执行预处理，在 AI 硬件上运行推理，并在屏幕上显示结果。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-object-detection.html#gst-ai-object-detection__section_p2w_33y_kbc)。

Figure : gst-ai-object-detection pipeline
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本视频将引导您设置实时摄像头流，实施预处理步骤，在专用硬件上执行 AI 推理，并将实时显示结果。

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    <body xmlns="http://www.w3.org/1999/xhtml">
        <iframe width="640" height="400" src="https://players.brightcove.net/1414329538001/4JiZQnWhg_default/index.html?videoId=6380739279112" allowfullscreen="" allow="encrypted-media"></iframe>
    <div class='topic-detail'><div class='topic-updated-date'><span> Last Published: </span>Nov 11, 2025</div><div class='prev-and-next-links'><span class='previous-topic-link'><span aria-hidden='true' class='disabled' data-tip='' data-effect='solid'></span></span></div></div></body>
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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

使用 Qualcomm Neural Processing SDK runtime 运行目标检测模型。默认情况下，系统执行 YOLO-NAS。

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。

    gst-ai-object-detection --model-type=3 --model=/opt/yolonas.dlc --labels=/opt/yolonas.labelsCopy to clipboard

如需显示可用的帮助选项，可运行以下命令：

    gst-ai-object-detection -hCopy to clipboard

如需停止用例，请按下 CTRL + C。

## 预期输出

将显示检测到的对象。

Figure : gst-ai-object-detection 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目标检测 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-object-detection__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-object-detection__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) | qtimlsnpe ML 推理插件与 Qualcomm Neural Processing SDK runtime 一起使用。其具备以下特性：<ol class="ol"><br>                                    <li class="li">利用 YOLOv5、YOLOv8 和 YOLO-NAS 进行目标检测。任何 YOLO 模型都可以从命令行参数执行。</li><br><br>                                    <li class="li">推理 runtime 在其设备接插口上接收到张量数据后，执行推理。</li><br><br>                                    <li class="li">生成一个张量数据，并在其源接插口上显示推理结果。</li><br><br>                                </ol> |
| [qtimlvdetection](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtimlvdetection.html) | 处理来自任何目标检测模型的推理结果。<ol class="ol" id="gst-ai-object-detection__ol_ol3_dky_kbc"><br>                                    <li class="li">将阈值应用于所选结果数。</li><br><br>                                    <li class="li">加载 YOLO-NAS 模块。</li><br><br>                                    <li class="li">生成仅包含可叠加在目标对象上的边框的视频帧。</li><br><br>                                    <li class="li">将这些处理过的帧发送到 qtivcomposer 的设备接插口。</li><br><br>                                </ol> |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70014-50Y/topic/qtivcomposer.html) | <ol class="ol" id="gst-ai-object-detection__ol_dmb_2vr_lbc"><br>                                    <li class="li">从其接收端口获取内容然后组成帧。</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) | <ol class="ol" id="gst-ai-object-detection__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink 将在其设备接插口上接收的视频流提交给 Weston。</li><br><br>                                    <li class="li">Weston 在本地显示器上呈现视频流。</li><br><br>                                </ol> |

**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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