# Mono depth from video

Source: [https://docs.qualcomm.com/doc/80-70015-50/topic/mono-depth-from-video.html](https://docs.qualcomm.com/doc/80-70015-50/topic/mono-depth-from-video.html)

The **gst-ai-monodepth** application enables you to infer depth of a source feed
        from a live camera stream, file, or an RTSP stream.

Note: This application is not supported on QCS9075.

The figure shows the pipeline, which captures feed from the source, preprocesses the
            video data, and runs inference using the AI hardware. For information on the plugins
            used in the pipeline, see [Pipeline flow](https://docs.qualcomm.com/doc/80-70015-50/topic/mono-depth-from-video.html#mono-depth-from-video__section_w3l_s1t_pbc).

Figure :  gst-ai-monodepth pipeline
            
            ![](data:image/jpeg;base64,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)

## Prerequisites

1. Download the model and label
                    files:

        wget https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/midas/midasv2_linux_assets/midasv2.tfliteCopy to clipboard

        wget https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/midas/midasv2_linux_assets/midasv2.dlcCopy to clipboard

        wget https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/midas/midasv2_linux_assets/monodepth.labelsCopy to clipboard
2. To run the application, push the models and label files to the
                    device:

        scp midasv2.tflite midasv2.dlc monodepth.labels root@<ip-addr of the target device>:/opt/Copy to clipboard
3. To access your host device, enable SSH. For instructions, see [How to SSH?](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-254/how_to.html#how-to-ssh-). 
    Enter the SSH shell
                        and run the use
                    cases:

        ssh root@<ip-addr of the target device>Copy to clipboard
4. Enable the
                    display:

        export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard

## Use cases

To run the application, use the following
                syntax:

    gst-ai-monodepth <OPTION>Copy to clipboard

The following are the different use cases:

- Run using the Qualcomm Neural Processing SDK runtime:
    - Run with input from the primary
                            camera:

            gst-ai-monodepth --ml-framework=1 --model=/opt/midasv2.dlc --labels=/opt/monodepth.labelsCopy to clipboard
    - Run with input from the secondary
                            camera:

            gst-ai-monodepth -c 1 --ml-framework=1 --model=/opt/midasv2.dlc --labels=/opt/monodepth.labelsCopy to clipboard
    - Run with input from a file:
        Push the video.mp4
                                file to the opt folder before executing the
                                command:

            gst-ai-monodepth -s /opt/video.mp4 --ml-framework=1Copy to clipboard
    - Run with input from an RTSP
                            stream:

            gst-ai-monodepth --rtsp-ip-port=rtsp://<ip-address-of-the-device>:8554/30fps.mkv --ml-framework=1Copy to clipboard
    - Run with different runtimes from the primary
                            camera:

            gst-ai-monodepth --ml-framework=1 --use_cpuCopy to clipboard

            gst-ai-monodepth --ml-framework=1 --use_gpuCopy to clipboard

            gst-ai-monodepth --ml-framework=1 --use_dspCopy to clipboard
- Run using the TFLite
                    runtime:

        gst-ai-monodepth --ml-framework=2 --model=/opt/midasv2.tflite --labels=/opt/monodepth.labelsCopy to clipboard

To display the available help options, run the following command:

    gst-ai-monodepth -hCopy to clipboard

To stop the use case, press CTRL + C.

## Expected output

The overlaid model output stream is shown side by side with the live feed.

Figure : Expected output for gst-ai-monodepth application
                
                ![](data:image/png;base64,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)

## Pipeline flow

The table lists the plugins used in the mono depth pipeline:| Plugin | Description |
| --- | --- |
| Camera source:[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70015-50/topic/qtiqmmfsrc.html) | <ul class="ul" id="mono-depth-from-video__ul_zyl_gj1_mcc"><br>                                    <li class="li">Captures the live stream from camera.</li><br><br>                                    <li class="li">Uses tee to split the stream for inferencing.</li><br><br>                                </ul> |
| File source: filesrc | <ul class="ul" id="mono-depth-from-video__ul_z1z_x4f_w1c"><br>                                    <li class="li">Captures the video stream using filesrc, followed by<br>                                        qtdemux, which demultiplexes the stream.</li><br><br>                                    <li class="li">Uses tee to split the stream for inferencing.</li><br><br>                                </ul> |
| RTSP source: rtspsrc | <ul class="ul" id="mono-depth-from-video__ul_vsj_2r4_tbc"><br>                                    <li class="li">Captures the RTSP stream using rtspsrc, followed by<br>                                        rtph264depay for video extraction.</li><br><br>                                    <li class="li">Uses tee to split the stream for inferencing.</li><br><br>                                </ul> |
| h264parse | Parses the H.264 video. |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70015-50/topic/v4l2h264dec.html) | Decodes the video. |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimlvconverter.html) | Used by AI processing stream for preprocessing:<ol class="ol" id="mono-depth-from-video__ol_j34_ddg_q1c"><br>                                    <li class="li">Receives the video stream on its sink pad.</li><br><br>                                    <li class="li">Performs the following preprocessing on the stream data.<br>                                        This preprocessing is done when the model expects<br>                                        floating-point values as input.<ol class="ol" type="a" id="mono-depth-from-video__ol_m5z_cpr_lbc"><br>                                            <li class="li">Color conversion</li><br><br>                                            <li class="li">Scaling (up or down)</li><br><br>                                            <li class="li">Normalization</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li">Converts the preprocessed video stream to a tensor stream on<br>                                        its source pad.</li><br><br>                                </ol><br><br>The tensor stream is used for inferencing in the later<br>                                    stages of the pipeline. |
| [qtimlsnpe](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimlsnpe.html) and [qtimltflite](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimltflite.html) | **qtimlsnpe**:<ul class="ul" id="mono-depth-from-video__ul_clk_1gt_pbc"><br>                                    <li class="li">Acts as the ML inferencing plugin, which is used with the<br>                                        Qualcomm Neural Processing SDK runtime. </li><br><br>                                    <li class="li">It uses the midasv2.dlc for mono depth.</li><br><br>                                </ul><br>**qtimltflite**:<ul class="ul" id="mono-depth-from-video__ul_dc2_cgt_pbc"><br>                                    <li class="li">Acts as an alternative option to qtimlsnpe.</li><br><br>                                    <li class="li">Runs on the TFLite runtime and employs the midasv2.tflite<br>                                        model for mono depth.</li><br><br>                                </ul><br><br>                                <br>You can select the runtime using the command-line parameter.<br><ol class="ol"><br>                                    <li class="li">The inference runtime receives the tensor stream on its sink<br>                                        pad.</li><br><br>                                    <li class="li">The runtime runs the inference.</li><br><br>                                    <li class="li">Produces a tensor stream with the inference results on its<br>                                        source pad.</li><br><br>                                </ol><br>The postprocessing plugin for processing the inference comes<br>                                from the Midasv2 model. |
| [qtimlvsegmentation](https://docs.qualcomm.com/doc/80-70015-50/topic/qtimlvsegmentation.html) | Converts the inference tensors that it receives on its sink pad<br>                                into video formats that the multimedia plugins can use for further<br>                                processing. |
| [qtivtransform](https://docs.qualcomm.com/doc/80-70015-50/topic/qtivtransform.html) | Converts the Qualcomm Universal Bandwidth Compression buffers to<br>                                non-Universal Bandwidth Compression buffers on its source pad. These<br>                                buffers are s for composition on Waylandsink. |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70015-50/topic/waylandsink.html) | <ol class="ol" id="mono-depth-from-video__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink submits the video stream received on its sink<br>                                        pad to Weston.</li><br><br>                                    <li class="li">Weston renders the video stream on a local display.</li><br><br>                                </ol> |

## Known issues

On the RB3 Gen2 development kit, the performance of different models (.dlc or
                .tflite) may vary.

**Parent Topic:** [AI/ML sample applications](https://docs.qualcomm.com/doc/80-70015-50/topic/ai-ml-sample-applications.html)

Last Published: Oct 27, 2025

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