# 示例应用程序

Qualcomm Linux 包括各种示例应用程序。目前提供其中四个示例应用程序的运行说明，供快速参考。相关详细信息，可参见[示例应用程序](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-50/example-applications.html)。现有两组主要的示例程序，每组适用于不同的用例，例如零售、边缘 AI 盒子和 IP 摄像头。

[多媒体应用程序](https://docs.qualcomm.com/doc/80-70017-253Y/topic/demo_app.html#link-mm-apps)

这些应用程序与摄像头、视频和音频功能有关。

[AI 应用程序](https://docs.qualcomm.com/doc/80-70017-253Y/topic/demo_app.html#link-ai-apps)

这些应用程序侧重于 AI 和机器学习 (ML) 功能。

Note

- 要运行多媒体和 AI 应用程序，请确保设置 [Wi-Fi](https://docs.qualcomm.com/doc/80-70017-253Y/topic/set_up_the_device.html#using-wifi) 并建立 [SSH](https://docs.qualcomm.com/doc/80-70017-253Y/topic/ubuntu_host.html#ssh-connection) 连接。
- 如需查看显示输出，可将 HDMI 显示屏连接到 RB3 Gen 2 设备的 HDMI 端口（参见[连接 HDMI 显示屏](https://docs.qualcomm.com/doc/80-70017-253Y/topic/set_up_the_device.html#concept-wc5-hcp-4bc)）。
- 如果要从 UART shell 运行示例应用程序，可使用以下命令重新挂载具有读/写权限的文件系统：

mount -o remount, rw /usr
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## 多媒体应用程序

多媒体示例应用程序演示了 RB3 Gen 2 设备上的摄像头、显示屏和视频流的用例。

### 多摄像头流媒体或编码（行车记录仪）

**gst-multi-camera-example** 命令行应用演示了 RB3 Gen 2 设备上两个摄像头同步流传输。该应用将摄像头发送的图像数据并排进行合成并显示在屏幕上，或将视频流编码并存储到文件中。

![../../../_images/with_bck_dash_cam.png](data:image/png;base64,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)

**图：行车记录仪应用工作流程**

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    <defs>
      <style>@import url("https://fonts.googleapis.com/css2?family=Roboto+Flex:opsz,wght@8..144,100..1000&display=swap");
.svg-1 .bg-fill { fill: var(--color-background) }
.svg-1 .fill-text { color: var(--color-content); fill: var(--color-content) }
.svg-1 .video-hoverbox { transition: opacity 0.15s ease-in-out }
.svg-1 .video-hoverbox:hover { opacity: 0.9 }
 { fill: #000000; stroke: none; stroke-linecap: round; stroke-linejoin: round; stroke-width: 0.75 }
.svg-1 .st2 { fill: #ffffff; font-family: Arial; font-size: 1.00001em }
.svg-1 .st3 { fill: #ffffff; stroke: none; stroke-linecap: butt; stroke-width: 6.375 }
.svg-1 .st4 { fill: none; stroke: none; stroke-linecap: round; stroke-linejoin: round; stroke-width: 0.75 }
.svg-1 .st5 { fill: none; fill-rule: evenodd; font-size: 12px; overflow: visible; stroke-linecap: square; stroke-miterlimit: 3 }</style>
  </defs>

  <foreignobject x="0" y="0" width="640" height="400">
    
        <iframe width="640" height="400" src="https://players.brightcove.net/1414329538001/4JiZQnWhg_default/index.html?videoId=6380737715112" allowfullscreen="" allow="encrypted-media"></iframe>
    <div class="topic-detail"><div class="topic-updated-date"><span> Last Published: </span>Oct 21, 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>
    </foreignobject>

</svg>

**使用示例**

如需执行应用，可在 SSH shell 中分别运行以下用例：

1. 如需在 HDMI 显示屏上查看示例程序，可运行以下 export 命令：

export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1
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2. 如需查看 waylandsink 输出，可运行以下命令：

gst-multi-camera-example -o 0
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3. 如需存储编码器输出，可执行以下操作：

    1. 运行以下命令：

gst-multi-camera-example -o 1
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        摄像头 1 和摄像头 2 的编码文件分别存储在 `/opt/cam1_vid.mp4` 和 `/opt/cam2_vid.mp4` 中。
    2. 要从主机拉取文件，运行以下命令：

scp root@<IP address of target device>:/opt/cam1_vid.mp4 <destination directory>
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Note

当系统提示输入密码时，输入 `oelinux123`。
    3. 可以使用任何支持 MP4 文件的媒体播放器来播放编码器输出。

- 如需停止用例，可按下 **CTRL + C**。
- 如需显示可用的帮助选项，可运行以下命令：

gst-multi-camera-example --help
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- GStreamer 调试输出由 `GST_DEBUG` 环境变量控制。设置所需级别以启用日志。例如，要记录所有警告，可运行以下命令：

export GST_DEBUG=2
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### 多通道视频解码与合成（视频墙）

**gst-concurrent-videoplay-composition** 命令行应用可以简化高级视频编码 (AVC) 编码视频的并行视频解码和播放，以及在显示屏上执行视频墙应用的合成。该应用需要至少一个输入视频文件，预期是支持 AVC 编解码的 MP4 文件。

![../../../_images/with_bck_video_wall.png](data:image/png;base64,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**图：电视墙应用工作流程**

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    <defs>
      <style>@import url("https://fonts.googleapis.com/css2?family=Roboto+Flex:opsz,wght@8..144,100..1000&display=swap");
.svg-2 .bg-fill { fill: var(--color-background) }
.svg-2 .fill-text { color: var(--color-content); fill: var(--color-content) }
.svg-2 .video-hoverbox { transition: opacity 0.15s ease-in-out }
.svg-2 .video-hoverbox:hover { opacity: 0.9 }
 { fill: #000000; stroke: none; stroke-linecap: round; stroke-linejoin: round; stroke-width: 0.75 }
.svg-2 .st2 { fill: #ffffff; font-family: Arial; font-size: 1.00001em }
.svg-2 .st3 { fill: #ffffff; stroke: none; stroke-linecap: butt; stroke-width: 6.375 }
.svg-2 .st4 { fill: none; stroke: none; stroke-linecap: round; stroke-linejoin: round; stroke-width: 0.75 }
.svg-2 .st5 { fill: none; fill-rule: evenodd; font-size: 12px; overflow: visible; stroke-linecap: square; stroke-miterlimit: 3 }</style>
  </defs>

  <foreignobject x="0" y="0" width="640" height="400">
    
        <iframe width="640" height="400" src="https://players.brightcove.net/1414329538001/4JiZQnWhg_default/index.html?videoId=6380739853112" allowfullscreen="" allow="encrypted-media"></iframe>
    <div class="topic-detail"><div class="topic-updated-date"><span> Last Published: </span>Oct 21, 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>
    </foreignobject>

</svg>

**使用示例**

1. 如需将 AVC 编码的 MP4 (H.264) 格式的预录或测试视频（文件名为 `<file_name>`）传输到用户设备，可在主机上运行以下命令：

scp <file_name> root@[DEVICE IP-ADDR]:/opt/
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Note

当系统提示输入密码时，输入 `oelinux123`。
2. 如需在 HDMI 显示屏上查看示例程序，可在 SSH shell 中运行以下 export 命令：

export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1
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3. 要体验四通道并发播放，可运行以下命令：

gst-concurrent-videoplay-composition -c 4 -i /opt/<file_name1>.mp4 -i /opt/<file_name2>.mp4 -i /opt/<file_name3>.mp4 -i /opt/<file_name4>.mp4
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Note

- `-c`：指定要解码合成的流数量可以是 2、4 或 8。
- `-i`：指定输入视频文件的绝对路径。

- 如需停止用例，可按下 **CTRL + C**。
- 如需显示可用的帮助选项，可运行以下命令：

gst-concurrent-videoplay-composition --help
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- GStreamer 调试输出由 `GST_DEBUG` 环境变量控制。设置所需级别以启用日志。例如，要记录所有警告，可运行以下命令：

export GST_DEBUG=2
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## AI 应用程序

AI 示例应用程序演示了对来自 RB3 Gen 2 设备上的摄像头、视频文件或 RTSP 流的输入流进行目标检测以及并行推理的用例。要体验这些示例应用程序，用户必须从 [Qualcomm AI Hub](https://aihub.qualcomm.com/iot/models) 获取 AI 模型并从 GitHub 获取标签。该过程包括下载模型和标签、将它们传输到RB3 Gen 2设备以及运行示例程序。

![../../../_images/ai_flow_diagram.png](data:image/png;base64,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)

**图：运行 AI 示例程序的工作流**

**前提条件**

设备上需要有模型和标签文件才能运行 AI 示例应用程序。

**步骤**

1. 从 [Qualcomm AI Hub](https://aihub.qualcomm.com/iot/models) 下载模型。

    | 示例程序 | 所需模型 |
    | --- | --- |
    | 目标检测 | [Yolov8-Detection-Quantized](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/yolov8_det_quantized) |
    | 并行 AI 推理 | [Yolov8-Detection-Quantized](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/yolov8_det_quantized) |
    | 并行 AI 推理 | [Inception-v3-Quantized](https://aihub.qualcomm.com/iot/models/inception_v3_quantized) |
    | 并行 AI 推理 | [HRNetPoseQuantized](https://aihub.qualcomm.com/iot/models/hrnet_pose_quantized) |
    | 并行 AI 推理 | [DeepLabV3-Plus-MobileNet-Quantized](https://aihub.qualcomm.com/iot/models/deeplabv3_plus_mobilenet_quantized) |
    |  |  |
    |  |  |
    |  |  |

Note

YOLOv8 模型默认不可用。您需要使用 AI Hub API 导出模型。有关说明，请参阅 [YOLOv8-Detection-Quantized](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/yolov8_det_quantized)。

2. 更新 JSON 文件中量化 LiteRT 模型的 `q_offset` 和 `q_scale` 常量。有关说明，请参阅[获取模型常数](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-15B/integrate-ai-hub-models.html#obtain-model-constants)。

3. 使用以下命令将下载的模型文件推送到设备上：

scp <model filename> root@<IP addr of the target device>:/opt/
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    **示例**

scp mobilenet_v2_quantized.tflite root@<IP addr of the target device>:/opt/
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4. 下载自动化脚本以获取标签文件并在设备上设置权限：

curl -L -O https://raw.githubusercontent.com/quic/sample-apps-for-qualcomm-linux/refs/heads/main/download_artifacts.sh
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chmod +x download_artifacts.sh
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5. 使用所需参数运行脚本以将标签文件下载至设备。

./download_artifacts.sh -v GA1.3-rel -c QCS6490
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6. 编辑您设备上的 `/opt/config_detection.json` 文件。确保更新从 AI Hub 下载的模型名称。
7. 将 Yolo-NAS 标签文件复制到设备上的 Yolov8 模型中：

cp yolonas.labels yolov8.labels
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### AI 目标检测

**gst-ai-object-detection** 示例应用程序演示了对来自摄像头、视频文件或 RTSP 流的输入流执行目标检测的硬件功能。此 pipeline 接收输入流，执行预处理，在 AI 硬件上运行推理，并将结果显示在屏幕上。

![../../../_images/ai_object_detection_color_rst.png](data:image/png;base64,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)

**图：目标检测应用程序工作流程**

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  <foreignobject x="0" y="0" width="640" height="400">
    
        <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>Oct 21, 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>
    </foreignobject>

</svg>

**使用示例**

必须将模型和标签文件推送到设备才能运行示例应用程序。更多详细信息，参见[前提条件](https://docs.qualcomm.com/doc/80-70017-253Y/topic/demo_app.html#prereq-ai)。

1. 如需在 HDMI 显示屏上查看示例程序，可在 SSH shell 中运行以下 export 命令：

export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1
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2. 编辑您设备上的 `/opt/config_detection.json` 文件。

{
           "camera": 0,
           "ml-framework": "tflite",
           "yolo-model-type": "yolov8",
           "model": "/opt/YOLOv8-Detection-Quantized.tflite",
           "labels": "/opt/yolonas.labels",
           "constants": "YOLOv8,q-offsets=<21.0, 0.0, 0.0>,q-scales=<3.093529462814331, 0.00390625, 1.0>;",
           "threshold": 40,
           "runtime": "dsp"
        }
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3. 如需执行应用程序，可运行以下命令：

gst-ai-object-detection
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- 如需停止用例，可按下 **CTRL + C**。
- 如需显示可用的帮助选项，可运行以下命令：

gst-ai-object-detection -h
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- GStreamer 调试输出由 `GST_DEBUG` 环境变量控制。设置所需级别以启用日志。例如，要记录所有警告，可运行以下命令：

export GST_DEBUG=2
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### 并行 AI 融合

**gst-ai-parallel-inference** 命令行应用程序演示了对来自摄像头、视频文件或 RTSP 流的输入流执行四个并行 AI 推理的硬件功能。此 pipeline 对输入流执行目标检测、对象分类、姿态检测和图像分割。结果并排显示在屏幕上。

![../../../_images/ai_parallel_fusion_rst.png](data:image/png;base64,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**图：并行推理应用工作流程**

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    <div class="topic-detail"><div class="topic-updated-date"><span> Last Published: </span>Oct 21, 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>
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**使用示例**

必须将模型和标签文件推送到设备才能运行示例应用程序。更多详细信息，参见[前提条件](https://docs.qualcomm.com/doc/80-70017-253Y/topic/demo_app.html#prereq-ai)。

1. 如需在 HDMI 显示屏上查看示例应用程序，可在 SSH shell 中运行以下 export 命令：

export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1
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2. 如需执行应用程序，可运行以下命令：

gst-ai-parallel-inference
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- 如需停止用例，可按下 **CTRL + C**。
- 如需显示可用的帮助选项，可运行以下命令：

gst-ai-parallel-inference -h
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    AI Hub 频繁地使用最新的 SDK 版本来更新模型。使用不正确的模型常量可能会导致结果不准确。如果遇到此类问题，请更新模型常量。用户可以使用以下命令为示例程序提供模型常量：

gst-ai-parallel-inference \
        --object-detection-constants="YOLOv8,q-offsets=<21.0, 0.0, 0.0>,q-scales=<3.093529462814331, 0.00390625, 1.0>;" \
        --pose-detection-constants="Posenet,q-offsets=<8.0>,q-scales=<0.0040499246679246426>;" \
        --segmentation-constants="deeplab,q-offsets=<61.0>,q-scales=<0.06232302635908127>;" \
        --classification-constants="Mobilenet,q-offsets=<-95.0>,q-scales=<0.18740029633045197>;"
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- GStreamer 调试输出由 `GST_DEBUG` 环境变量控制。设置所需级别以启用日志。例如，要记录所有警告，可运行以下命令：

export GST_DEBUG=2
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**已知问题**

在姿态检测中，即使帧中有多人，模型也只检测一人。

Note

使用 Inception v3 模型的图像分类是基于 ImageNet 数据集进行训练的。因此，模型无法检测到人，因为数据集中不包含该类。

## 更多应用程序

Qualcomm Linux 版本包含更多种类的示例应用程序。要探索和体验其他应用，参见[示例应用程序](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-50/example-applications.html)。

## 开发适用于 Qualcomm Linux 平台的应用程序

可以使用 Qualcomm Intelligent Multimedia Product (QIMP) SDK 来开发应用程序。请参阅[开发应用程序](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-51/application-development.html)，以便开始开发您的第一个应用程序。

Last Published: Oct 21, 2025

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Source: [https://docs.qualcomm.com/doc/80-70017-253Y/topic/demo_app.html](https://docs.qualcomm.com/doc/80-70017-253Y/topic/demo_app.html)