# Image segmentation and display with TFLite Source: [https://docs.qualcomm.com/doc/80-70014-50/topic/single-camera-stream-with-image-segmentation-and-display.html](https://docs.qualcomm.com/doc/80-70014-50/topic/single-camera-stream-with-image-segmentation-and-display.html) The use case uses the `deeplabv3_resnet50` TFLite model to identify semantic segmentations in a scene from video stream that is from a camera source, compose the semantics and original video stream using qtivcomposer, and then display the results. Use the following command to execute the use case: gst-launch-1.0 -e --gst-debug=2 \ qtiqmmfsrc name=camsrc ! video/x-raw\(memory:GBM\),format=NV12,width=1280,height=720,framerate=30/1,compression=ubwc ! queue ! tee name=split \ split. ! queue ! qtivcomposer name=mixer sink_1::alpha=0.5 ! queue ! waylandsink fullscreen=true sync=false \ split. ! queue ! qtimlvconverter ! queue ! qtimltflite delegate=external external-delegate-path=libQnnTFLiteDelegate.so external-delegate-options="QNNExternalDelegate,backend_type=htp;" model=/opt/deeplabv3_resnet50.tflite ! queue ! qtimlvsegmentation module=deeplab-argmax labels=/opt/deeplabv3_resnet50.labels ! video/x-raw,width=256,height=144 ! queue ! mixer.Copy to clipboard To stop the use case, press CTRL + C. Figure : Pipeline for segmentation with qtivcomposer ![](data:image/png;base64,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) The figure shows the flow of the use case execution: 1. Identify scenes from a video stream coming through a camera source. 2. Compose semantic segmentation and video stream using qtivcomposer. 3. Display the results. The table provides the sequential processing stages of the pipeline execution: | Process | Description | | --- | --- | | [qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70014-50/topic/qtiqmmfsrc.html) |

  1. Collects the video stream (source) and creates two copies of the
    source:


| | **Preprocessing** | **Preprocessing** | | [qtimlvconverter](https://docs.qualcomm.com/doc/80-70014-50/topic/qtimlvconverter.html) |

  1. Receives the video stream on its sink pad.


  2. Performs preprocessing:


  3. Converts the video stream to a tensor stream on its source
    pad.

    The segmentation model uses this tensor stream for
    inferencing.




| | **Inferencing** | **Inferencing** | | [qtimltflite](https://docs.qualcomm.com/doc/80-70014-50/topic/qtimltflite.html) |

  1. Loads the segmentation model.


  2. Modifies the graph for the chosen delegate.


  3. Receives the tensor stream on its sinkpad.


  4. Executes the inference and produces tensor stream with the
    segmentation results on its source pad.


| | **Postprocessing** | **Postprocessing** | | [qtimlvsegmentation](https://docs.qualcomm.com/doc/80-70014-50/topic/qtimlvsegmentation.html) |

  1. Receives the inference tensors on its sinkpad.


  2. Converts the inference tensors into video formats that the
    multimedia plugins can process later.


  3. Produces the semantic segmentations for the frame.


  4. Loads the corresponding modules for the segmentation
    models.

    In this use case, qtimlvsegmentation does the
    following:


    1. Loads the deeplab-argmax submodule.


    2. Produces video frames with segmentation masks.


    3. Sends them to sinkpad of qtivcomposer.






| | [qtivcomposer](https://docs.qualcomm.com/doc/80-70014-50/topic/qtivcomposer.html) |

  1. Receives the original video stream with segmentation mask on its
    sinkpads.


  2. Produces on its sourcepad GST buffers with contents composed of
    video streams from its sinkpads.


| | **Output** | **Output** | | [Waylandsink](https://docs.qualcomm.com/doc/80-70014-50/topic/waylandsink.html) |

  1. Receives the video stream on its sinkpad.


  2. Submits the video stream to Weston.


  3. Weston displays the following on the local display device:


| **Parent Topic:** [TensorFlow Lite use cases](https://docs.qualcomm.com/doc/80-70014-50/topic/tensorflow-lite-use-cases.html) Last Published: Oct 27, 2025 [Previous Topic Object detection and encode with TFLite](https://docs.qualcomm.com/bundle/publicresource/80-70014-50/topics/single-camera-stream-with-object-detection-and-encode.md) [Next Topic Image segmentation and encode with TFLite](https://docs.qualcomm.com/bundle/publicresource/80-70014-50/topics/single-camera-stream-with-image-segmentation-and-encode.md)