# 多输入 AI 推理

Source: [https://docs.qualcomm.com/doc/80-70015-50SC/topic/gst-ai-multi-input-output-object-detection.html](https://docs.qualcomm.com/doc/80-70015-50SC/topic/gst-ai-multi-input-output-object-detection.html)

**gst-ai-multi-input-output-object-detection** 程序可以对来自不同来源（如摄像头、文件）或网络（如 RTSP）的多个视频流执行目标检测。

下图显示了 pipeline 工作流，该工作流采集视频流以从不同来源（如摄像头、文件或 RTSP）进行推理。有关 pipeline 中使用的插件的信息，可参见[Pipeline 流程](https://docs.qualcomm.com/doc/80-70015-50SC/topic/gst-ai-multi-input-output-object-detection.html#gst-ai-multi-input-output-object-detection__section_qbz_bsq_nbc)。

Figure : 多输入 AI 推理 pipeline
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)

## 前提条件

1. 下载 [YOLOv5](https://github.com/ultralytics/yolov5) 模型。
    运行 yolov5.tflite 模型需要 Python 环境。

Note: 根据主机环境中的 Python 版本修改以下命令。
2. 创建 Python 3.8 虚拟环境：

        sudo apt-get install python3.8Copy to clipboard

        python3.8 -m venv py3.8Copy to clipboard

        source py3.8/bin/activateCopy to clipboard
3. 生成 yolov5.tflite 模型：

        git clone https://github.com/ultralytics/yolov5.gitCopy to clipboard

        cd yolov5Copy to clipboard

        python -m pip install -r requirements.txt tensorflow-cpuCopy to clipboard

        python export.py --weights yolov5m.pt --img 320 --include tflite --int8 --data data/coco128.yamlCopy to clipboard
4. 在主机上，将模型推送到设备：

        scp yolov5m-int8.tflite root@<IP address of the device>:/opt/yolov5.tfliteCopy to clipboard
5. 将标签文件推送到设备。相关说明，可参见[下载 Qualcomm Neural Processing SDK 的模型和标签文件](https://docs.qualcomm.com/doc/80-70015-50SC/topic/ai-ml-sample-applications.html#ai-ml-sample-applications__section_chl_dgz_scc)。
6. 启用 SSH 以访问您的主机设备。相关说明，可参见 [SSH 使用指南](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-254/how_to.html#how-to-ssh-)
7. 进入 SSH shell 并运行用例：

        ssh root@<ip-addr of the target device>Copy to clipboard
8. 启用显示器：

        export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard
9. 从主机推送文件：

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

## 用例

Note: 对于 QCS9075，不支持摄像头用例。使用文件或 RTSP 作为输入源。

[YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) 和 YOLOv5 模型在相同的 Common Objects in Context（COCO）数据集上进行训练。

进入 SSH shell，将 YOLO-NAS 标签文件复制到 YOLOv5 中：

cp /opt/yolonas.labels /opt/yolov5.labelsCopy to clipboard

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，应替换命令行参数中的默认路径。

- 对来自两个摄像头的流运行 AI 目标检测：

        gst-ai-multi-input-output-object-detection --num-camera=2 --display --model=/opt/yolov5.tflite --labels=/opt/yolov5.labelsCopy to clipboard
- 对来自文件源的流运行 AI
                        目标检测：

        gst-ai-multi-input-output-object-detection --num-file=2 --display --model=/opt/yolov5.tflite --labels=/opt/yolov5.labelsCopy to clipboard

    视频文件的默认源路径是
                            /opt/video1.mp4 和
                            /opt/video2.mp4。
- 对来自 RTSP 源的流运行 AI 目标检测：

        gst-ai-multi-input-output-object-detection --num-rtsp=2 --display --model=/opt/yolov5.tflite --labels=/opt/yolov5.labelsCopy to clipboard

    RTSP 源的默认 ip：端口号为 127.0.0.1:8554。
- 从文件中获取输入源视频流，并显示输出，如下所示：
    - 在屏幕上显示输出。
    - 将输出保存在文件上。
    - 通过网络使用 RTSP 流发送输出。

在执行此用例之前，在目标上的一个单独的控制台中运行 RTSP 服务：

        gst-rtsp-server -p 8900 -a "<IP address of device>"  -m /live "( udpsrc name=pay0 port=<port_num> caps=\
        \"application/x-rtp,media=video,clock-rate=90000,\
        encoding-name=H264,payload=96\" )"Copy to clipboard

    在另一个 shell 中运行用例：

        gst-ai-multi-input-output-object-detection --num-file=2 -d -f /opt/app.mp4 --out-rtsp --model=/opt/yolov5.tflite --labels=/opt/yolov5.labels -i <ip_address> -p <port_num>Copy to clipboard

    如需在主机 PC 上查看 RTSP 流，可执行以下操作：

    - 在主机上安装 VLC Media Player 并设置环境变量。
    - 在 Linux 主机上，执行下列操作之一以查看 RTSP 流：

            vlc -vvv rtsp://<ip_address>:8900/liveCopy to clipboard

            ffplay -rtsp_transport tcp rtsp://<ip_address>:8900/liveCopy to clipboard
    - 在 Windows 主机上，执行以下操作：
        1. 打开 VLC 媒体播放器。
        2. 选择 Media<abbr title="and then"> &gt; </abbr>Open Network Stream 或按下 CTRL + N。
        3. 输入 `rtsp://<ip_address>:8900/live`。
        4. 点击 Play。

Note: 确保来自摄像头、RTSP 和文件源的输入流总数不超过 6 个。

- 如需停止用例，可按下 CTRL + C。
- 要显示可用的帮助选项，应在 SSH shell 中运行以下命令：

        gst-ai-multi-input-output-object-detection -hCopy to clipboard

## 预期输出

处理后的结果显示在 HDMI 屏幕上，保存为 H.264 编码的 MP4 文件，或通过 RTSP 服务器进行流传输。

Figure : gst-ai-multi-input-output-object-detection 程序的预期输出
                ![](data:image/png;base64,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)

## Pipeline 流程

下表列出了多输入/输出推理用例中使用的插件：| 插件 | 说明 |
| --- | --- |
| 摄像头源：[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70015-50SC/topic/qtiqmmfsrc.html) | <ul class="ul" id="gst-ai-multi-input-output-object-detection__ul_zyl_gj1_mcc"><br>                                    <li class="li">从摄像头采集实时流：</li><br><br>                                    <li class="li">使用 tee 拆分流进行推理。</li><br><br>                                </ul> |
| 文件源：filesrc | <ul class="ul" id="gst-ai-multi-input-output-object-detection__ul_z1z_x4f_w1c"><br>                                    <li class="li">使用 filesrc 采集视频流，然后使用 qtdemux 对视频流进行解复用。</li><br><br>                                    <li class="li">使用 tee 拆分流进行推理。</li><br><br>                                </ul> |
| RTSP 源：rtspsrc | <ul class="ul" id="gst-ai-multi-input-output-object-detection__ul_vsj_2r4_tbc"><br>                                    <li class="li">使用 rtspsrc 采集 RTSP 流，然后使用 rtph264depay 提取视频。</li><br><br>                                    <li class="li">使用 tee 拆分流进行推理。</li><br><br>                                </ul> |
| h264parse | 解析 H.264 视频。 |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70015-50SC/topic/v4l2h264dec.html) | 对视频进行解码。 |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70015-50SC/topic/qtimlvconverter.html) | <ol class="ol" id="gst-ai-multi-input-output-object-detection__ol_kgt_hnq_nbc"><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。当模型使用浮点值输入时，会执行此操作。<ol class="ol" type="a" id="gst-ai-multi-input-output-object-detection__ol_drd_jnq_nbc"><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>                                </ol><br><br>                                <br>张量数据用于 pipeline 后期的推理。 |
| [qtimltflite](https://docs.qualcomm.com/doc/80-70015-50SC/topic/qtimltflite.html) | 在 TFLite runtime 上运行，并使用 yolov5.tflite 模型进行目标检测。<br><ol class="ol" id="gst-ai-multi-input-output-object-detection__ol_l2x_zjq_nbc"><br>                                    <li class="li">推理 runtime 在其接收设备接插口上接收到张量数据后，运行推理。</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/80-70015-50SC/topic/qtimlvdetection.html) | 将在接收设备接插口上接收到的推理张量转换为多媒体插件稍后可以处理的视频格式。 |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70015-50SC/topic/qtivcomposer.html) | <ol class="ol" id="gst-ai-multi-input-output-object-detection__ol_dmb_2vr_lbc"><br>                                    <li class="li">从其接收设备接插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/80-70015-50SC/topic/waylandsink.html) | <ol class="ol" id="gst-ai-multi-input-output-object-detection__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink 将在其接收设备接插口上接收的视频流提交给 Wayland 合成器。</li><br><br>                                    <li class="li">在本地显示器上呈现视频流。</li><br><br>                                </ol> |
| Filesink | 获取在其接收设备接插口上接收的视频流并将其另存为 H.264 编码的 MP4 文件。 |
| udpsink | <ol class="ol" id="gst-ai-multi-input-output-object-detection__ul_skp_cds_nbc"><br>                                    <li class="li">用作网络接收器。</li><br><br>                                    <li class="li">将 UDP 数据包传输到网络。</li><br><br>                                </ol> |

从主机拉取文件：

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

## 已知问题

当应用程序使用来自两个以上文件源的输入并通过 RTSP 接收设备发送输出时，将会遇到问题。

解决方法是，如果输出是通过 RTSP 接收设备进行处理，建议将输入限制为仅使用两个文件源。

**Parent Topic:** [AI/ML 示例程序](https://docs.qualcomm.com/doc/80-70015-50SC/topic/ai-ml-sample-applications.html)

Last Published: Nov 11, 2025

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