# Image segmentation and encode with Neural Processing SDK Source: [https://docs.qualcomm.com/doc/80-70014-50/topic/single-camera-stream-with-image-segmentation-and-encode-with-deeplabv3-quantized.html](https://docs.qualcomm.com/doc/80-70014-50/topic/single-camera-stream-with-image-segmentation-and-encode-with-deeplabv3-quantized.html) The use case uses the DeepLab v3 model with Qualcomm Neural Processing SDK runtime to compose the semantic segmentations and original video stream, encode this stream, and then multiplex it in a MP4 container. 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=1920,height=1080,framerate=30/1,compression=ubwc ! queue ! tee name=split \ split. ! queue ! qtivcomposer name=mixer sink_1::dimensions="<1920,1080>" sink_1::alpha=0.5 ! queue ! video/x-raw\(memory:GBM\),format=NV12,width=1920,height=1080,interlace-mode=progressive,colorimetry=bt601 ! v4l2h264enc capture-io-mode=5 output-io-mode=5 ! h264parse ! queue ! mp4mux ! queue ! filesink location=/opt/video.mp4 \ split. ! queue ! qtimlvconverter ! queue ! qtimlsnpe delegate=dsp model=/opt/deeplabv3_resnet50.dlc ! queue ! qtimlvsegmentation module=deeplab-argmax labels=/opt/deeplabv3_resnet50.labels ! video/x-raw,width=640,height=360 ! queue ! mixer.Copy to clipboard To stop the use case, press CTRL + C. Figure : Pipeline for image segmentation and encode 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. Encode the stream as H.264 bit stream and multiplex the stream in a MP4 container. 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** | | [qtimlsnpe](https://docs.qualcomm.com/doc/80-70014-50/topic/qtimlsnpe.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 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.


| | [v4l2h264enc](https://docs.qualcomm.com/doc/80-70014-50/topic/v4l2h264enc.html) |

  1. Applies parameters to each frame of the video stream its
    receiving on its sinkpad.


  2. Encodes it into bitstream and sends it over its sourcepad.


| | h264parse | Adds additional information corresponding to the bitstream to
GStreamer buffer meta. | | mp4mux | Receives these buffers and creates containers format specification
buffers. | | **Output** | **Output** | | Filesink | Stores the resulting stream in a /opt/video.mp4
file. | | Playback | Use the following command to pull video.mp4 from
the host machine and play it on a media player
application:
`scp root@ device>:/opt/ ` | **Parent Topic:** [Qualcomm Neural Processing SDK use cases](https://docs.qualcomm.com/doc/80-70014-50/topic/qualcomm-neural-processing-sdk-use-cases.html) Last Published: Oct 27, 2025 [Previous Topic Image segmentation and display with Neural Processing SDK](https://docs.qualcomm.com/bundle/publicresource/80-70014-50/topics/single-camera-stream-with-image-segmentation-and-display-with-deeplabv3-quantized.md) [Next Topic Multimedia use cases](https://docs.qualcomm.com/bundle/publicresource/80-70014-50/topics/multimedia-use-cases.md)