# Decode JPEG images using Python

Source: [https://docs.qualcomm.com/doc/80-70022-50/topic/decode-jpeg-images-using-python.html](https://docs.qualcomm.com/doc/80-70022-50/topic/decode-jpeg-images-using-python.html)

The **gst-jpg-image-decode.py** application allows you to decode JPEG images and
        view the decoded images on a screen.

Figure : gst-jpg-image-decode.py pipeline
            
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## Run the application on the target device

1. Ensure that you complete the [Prerequisites](https://docs.qualcomm.com/doc/80-70022-50/topic/prerequisites-for-python-sample-applications.html).
2. Run the application on the target device with input from a camera
                    source:

        gst-jpg-image-decode.py -i /opt/media/frame%d.jpgCopy to clipboard

## Expected output

Figure : Expected output for gst-jpg-image-decode.py application–Preview
                
                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)

## Pipeline flow

The following table lists the plugins used to run the decode JPEG images
                    pipeline:| Plugin | Description |
| --- | --- |
| multifilesrc | Reads the video data from sequentially named files. |
| capsfilter | Enforces constraints on the video data. |
| jpegdec | Decodes the JPEG video stream. |
| videoconvert | Converts the video frames from one format to another. |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70022-50/topic/waylandsink.html) | Displays the video stream on the Wayland display. |

**Parent Topic:** [Run Python-based applications](https://docs.qualcomm.com/doc/80-70022-50/topic/python-sample-applications.html)

Last Published: Feb 20, 2026

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