# 使用 LiteRT 进行视频超分辨率和显示

Source: [https://docs.qualcomm.com/doc/80-70018-50SC/topic/video-super-resolution-and-display-with-litert.html](https://docs.qualcomm.com/doc/80-70018-50SC/topic/video-super-resolution-and-display-with-litert.html)

AI Hub 量化 INT8 型号支持视频超分辨率 (VSR)，输入分辨率为 128 × 128，输出分辨率为 512 × 512。

选择 [QuickSRNetSmall-Quantized](https://aihub.qualcomm.com/iot/models/quicksrnetsmall) 下载模型文件。

使用文件源运行用例（128 ×128 输入分辨率）：

    gst-launch-1.0 -e --gst-debug=2 \
    filesrc location=/etc/media/video.mp4 ! qtdemux ! queue ! h264parse ! v4l2h264dec capture-io-mode=4 output-io-mode=4 ! video/x-raw,format=NV12 ! \
    queue !  tee name=split split. ! queue ! qtivcomposer name=mixer sink_0::position="<0, 0>" sink_0::dimensions="<960, 1080>" \
    sink_1::position="<960, 0>" sink_1::dimensions="<960, 1080>" ! queue ! waylandsink sync=true fullscreen=true split. ! \
    qtimlvconverter   ! queue ! qtimltflite delegate=external external-delegate-path=libQnnTFLiteDelegate.so \
    external-delegate-options="QNNExternalDelegate,backend_type=htp;" model=/etc/models/quicksrnetsmall_quantized.tflite ! \
    queue ! qtimlvsuperresolution module=srnet constants="qsrnetsmall,q-offsets=<0.0>,q-scales=<1.0>;" !  video/x-raw,format=RGB ! queue ! mixer.Copy to clipboard

输出显示在 Wayland 显示器上。

Figure : 视频分辨率 pipeline（Wayland 显示）
            
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)

关于该 pipeline 中使用的预期输出和插件的信息，请参见[视频超分辨率](https://docs.qualcomm.com/doc/80-70018-50SC/topic/video-super-resolution.html)示例应用程序。

**Parent Topic:** [LiteRT 用例](https://docs.qualcomm.com/doc/80-70018-50SC/topic/tensorflow-lite-use-cases.html)

**Related Resources**  

- [qtimlvsuperresolution](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlvsuperresolution.html)

Last Published: Nov 12, 2025

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