# 使用 LiteRT 进行视频超分辨率和显示 Source: [https://docs.qualcomm.com/doc/80-70020-50SC/topic/video-super-resolution-and-display-with-litert.html](https://docs.qualcomm.com/doc/80-70020-50SC/topic/video-super-resolution-and-display-with-litert.html) Qualcomm AI Hub 的量化 INT8 模型支持视频超分辨率 (VSR)，其输入分辨率为 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）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/80-70020-50SC/topic/video-super-resolution.html)示例应用程序。 ## 相关信息 [qtimlvsuperresolution](https://docs.qualcomm.com/doc/80-70020-50SC/topic/qtimlvsuperresolution.html) **Parent Topic:** [LiteRT 用例](https://docs.qualcomm.com/doc/80-70020-50SC/topic/tensorflow-lite-use-cases.html) Last Published: Jul 23, 2025 [Previous Topic 使用 LiteRT 进行姿态估计和编码](https://docs.qualcomm.com/bundle/publicresource/80-70020-50SC/topics/single-camera-stream-with-pose-estimation-and-encode.md) [Next Topic 从摄像头到 RTSP 的单流，带 ML 检测](https://docs.qualcomm.com/bundle/publicresource/80-70020-50SC/topics/single-stream-from-camera-to-rtsp-with-ml-detection.md)