# 使用 Python 解码 JPEG 图像

Source: [https://docs.qualcomm.com/doc/80-70018-50SC/topic/decode-jpeg-images-using-python.html](https://docs.qualcomm.com/doc/80-70018-50SC/topic/decode-jpeg-images-using-python.html)

**gst-jpg-image-decode.py** 应用程序可以解码 JPEG 图像，并在屏幕上查看解码后的图像。

Figure : gst-jpg-image-decode.py pipeline
            
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)

## 运行应用程序

1. 确保您已完成[前提条件](https://docs.qualcomm.com/doc/80-70018-50SC/topic/prerequisites-for-python-sample-applications.html)。
2. 在目标设备上使用摄像头源输入运行应用程序：

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

## 预期输出

Figure : gst-jpg-image-decode.py 应用程序的预期输出 - 预览
                
                ![](data:image/png;base64,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)

## Pipeline 流

下表列出了用于对 JPEG 图像执行解码 pipeline 的插件：| 插件 | 说明 |
| --- | --- |
| multifilesrc | 从按顺序命名的文件中读取视频数据。 |
| capsfilter | 对视频数据强制实施约束。 |
| jpegdec | 解码 JPEG 视频流。 |
| videoconvert | 将视频帧从一种格式转换为另一种格式。 |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70018-50SC/topic/waylandsink.html) | 在 Wayland 显示器上显示视频流。 |

**Parent Topic:** [Python 应用程序](https://docs.qualcomm.com/doc/80-70018-50SC/topic/python-sample-applications.html)

Last Published: Nov 12, 2025

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