# 使用 Python 进行并行推理

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

**gst-parallel-inference.py** 应用程序接收来自摄像头、文件或 RTSP 流的视频输入，并将其发送到 AI 模型的四个通道进行并行处理（分类、目标检测、姿态检测和分割）。输出显示为带有叠加 AI 模型的预览。

注释： QCS8275 不支持此应用程序。

Figure : gst-parallel-inference.py pipeline
            
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)

有关此 pipeline 中使用的插件的信息，请参阅 [Pipeline 流](https://docs.qualcomm.com/doc/80-70017-50SC/topic/parallel-inference-using-python.html#parallel-inference-using-python__section_gcg_r3s_lbc)。

## 模型和标签文件

该表列出了运行应用程序之前设备上应可用的模型和标签文件。

Table : gst-parallel-inference.py 的默认模型和标签文件

| 推理 | 模型目录 | 标签目录 |
| --- | --- | --- |
| 目标检测 | /opt/YOLOv8-Detection-Quantized.tflite | /opt/yolov8.labels |
| 姿态估计 | /opt/hrnet\_pose\_quantized.tflite | /opt/hrnet\_pose.labels |
| 分割 | /opt/deeplabv3\_plus\_mobilenet\_quantized.tflite | /opt/deeplabv3\_resnet50.labels |
| 分类 | /opt/inception\_v3\_quantized.tflite | /opt/classification.labels |

## 运行应用程序

1. 确保您已完成[前提条件](https://docs.qualcomm.com/doc/80-70017-50SC/topic/python-sample-applications.html#python-sample-applications__section_gm5_s5j_bdc)。
2. 确保[模型和标签文件](https://docs.qualcomm.com/doc/80-70017-50SC/topic/parallel-inference-using-python.html#parallel-inference-using-python__section_sz5_51j_pdc)
                    在设备上可用。
3. 重命名 Linux 主机上的标签文件：

        cp /opt/yolonas.labels /opt/yolov8.labelsCopy to clipboard
4. 运行用例：
    - 来自摄像头的输入：

             python3 /usr/bin/gst-parallel-inference.py --cameraCopy to clipboard
    - 从文件输入：

            python3 /usr/bin/gst-parallel-inference.py --file "/opt/video.mp4"Copy to clipboard
    - 来自 RTSP 流的输入：

             python3 /usr/bin/gst-parallel-inference.py --rtsp "rtsp://<ip>:<port>/<stream>"Copy to clipboard
    - 来自具有目标检测常数的摄像头输入：

            python3 /usr/bin/gst-parallel-inference.py --camera --constants_detection "YOLOv8,q-offsets=<21.0, 0.0, 0.0>,q-scales=<3.093529462814331, 0.00390625, 1.0>;"Copy to clipboard
    - 来自具有分类常数的摄像头输入：

            python3 /usr/bin/gst-parallel-inference.py --camera --constants_classification "Mobilenet,q-offsets=<38.0>,q-scales=<0.15008972585201263>;"Copy to clipboard
    - 来自具有姿态检测常数的摄像头输入：

            python3 /usr/bin/gst-parallel-inference.py --camera --constants_pose "Posenet,q-offsets=<8.0>,q-scales=<0.0040499246679246426>;"Copy to clipboard
    - 来自具有分段常数的摄像头输入：

            python3 /usr/bin/gst-parallel-inference.py --camera --constants_segmentation "deeplab,q-offsets=<0.0>,q-scales=<1.0>;"Copy to clipboard

如需显示可用的帮助选项，可运行以下命令：

    python3 /usr/bin/gst-parallel-inference.py -hCopy to clipboard

## 预期输出

执行四个并行推理后，结果将并排显示在屏幕上。

Figure : gst-ai-parallel-inference.py 应用程序的预期输出
                
                ![](data:image/png;base64,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)

## Pipeline 流

该表列出了并行推理 pipeline 中使用的插件：| 插件 | 说明 |
| --- | --- |
| 摄像头源：[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtiqmmfsrc.html) | <ul class="ul" id="parallel-inference-using-python__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="parallel-inference-using-python__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="parallel-inference-using-python__ul_vsj_2r4_tbc"><br>                                    <li class="li">使用 rtspsrc 采集 RTSP 流，然后使用 rtph264depay 进行视频提取。</li><br><br>                                    <li class="li">使用 tee 拆分流进行推理。</li><br><br>                                </ul> |
| h264parse | 渲染 H.264 视频。 |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70017-50SC/topic/v4l2h264dec.html) | 解码视频 |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvconverter.html) | <ol class="ol" id="parallel-inference-using-python__ol_kgt_hnq_nbc"><br>                                    <li class="li">在其接收端上接收视频流。</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，会执行此预处理。<ol class="ol" type="a" id="parallel-inference-using-python__ol_drd_jnq_nbc"><br>                                            <li class="li">颜色转换</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>张量数据流用于 pipeline 后期的推理。 |
| [qtimltflite](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimltflite.html) | <ol class="ol" id="parallel-inference-using-python__ol_l2x_zjq_nbc"><br>                                    <li class="li">推理 runtime 在其接收端上接收到张量数据后，会运行推理。</li><br><br>                                    <li class="li">生成一个张量数据流，并在其发送端上显示推理结果。</li><br><br>                                </ol> |
| 后处理插件 | 处理来自任何目标检测、分类、姿态检测和分割模型的推理结果。<ul class="ul" id="parallel-inference-using-python__ul_pgb_wpq_nbc"><br>                                    <li class="li"><a href="https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvdetection.html">qtimlvdetection</a><ol class="ol" id="parallel-inference-using-python__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 YOLOv8 模块。 </li><br><br>                                            <li class="li">生成仅包含边界框的视频帧，这些框可以叠加在对象上，并将它们发送到 qtivcomposer 的接收端。</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li"><a href="https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvclassification.html">qtimlvclassification</a><ol class="ol" id="parallel-inference-using-python__ol_nt3_jqq_nbc"><br>                                            <li class="li">将阈值应用于所选的结果数。 </li><br><br>                                            <li class="li">加载 MobileNet 模块。</li><br><br>                                            <li class="li">将结果生成为带有分类标签的视频帧，并将它们发送到 qtivcomposer 的接收端。</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li"><a href="https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvpose.html">qtimlvpose</a><ol class="ol" id="parallel-inference-using-python__ol_znf_mqq_nbc"><br>                                            <li class="li">将阈值应用于所选的结果数。</li><br><br>                                            <li class="li">为各种姿态估计模型加载相应的模块。对于本节中描述的用例，qtimlvpose 加载 PoseNet 模块。 </li><br><br>                                            <li class="li">将结果生成为带绘制姿势的视频帧，并将它们发送到 qtivcomposer 的接收端。</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li"><a href="https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvsegmentation.html">qtimlvsegmentation</a>：将接收端上接收到的推理张量转换为视频格式，由多媒体插件进行后续处理。</li><br><br>                                </ul> |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtivcomposer.html) | <ol class="ol" id="parallel-inference-using-python__ol_dmb_2vr_lbc"><br>                                    <li class="li">将接收端获取的内容组成帧。</li><br><br>                                    <li class="li">将包含这些组合帧的 GStreamer 缓存推送到其发送端。</li><br><br>                                </ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70017-50SC/topic/waylandsink.html) | <ol class="ol" id="parallel-inference-using-python__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink 将其接收端上接收的视频流提交给 Weston。</li><br><br>                                    <li class="li">Weston 在本地显示器上渲染视频流。</li><br><br>                                </ol> |

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Last Published: Nov 11, 2025

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