https://github.com/flexrobotics/roboflex_util_png

Roboflex in-memory compression of rgb images to and from pngs.
https://github.com/flexrobotics/roboflex_util_png

png roboflex

Last synced: 2 months ago
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Roboflex in-memory compression of rgb images to and from pngs.

• Host: GitHub
• URL: https://github.com/flexrobotics/roboflex_util_png
• Owner: flexrobotics
• License: mit
• Created: 2023-10-19T21:24:29.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-03T23:59:38.000Z (over 1 year ago)
• Last Synced: 2025-01-21T16:47:08.760Z (4 months ago)
• Topics: png, roboflex
• Language: C++
• Homepage: https://github.com/flexrobotics/roboflex_util_png
• Size: 11.7 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# roboflex.util.png

Roboflex support for png compression to file and memory, and png decompression from memory.

Useful for compressing images over slow transports (wifi, etc).

## System Dependencies

    None! We build lodepng from source...

## pip install

    pip install roboflex.util.png

## Import

    import roboflex.util.png as rup

## Nodes

There are two complementary nodes: `PNGCompressor`, which can turn rgb tensors into pngs in memory, and `PNGDecompressor`, which does the opposite. Useful either for writing rgb tensors to files, or compressing them.

    # all parameters are optional

    c = rup.PNGCompressor(

        # in the incoming message, where to find the rgb tensor

        image_key = "rgb",

        # in the outgoing message, where to place the jpeg data

        output_key = "png", 

        # If this is provided, will ALSO write jpeg files with this 

        # prefix, with a variation of the date and time as the suffix.

        filename_prefix = "",

        # name of the node

        name = "PNGCompressor",

        # prints internal info

        debug = False,

    )

... and ...

    c = rup.PNGDecompressor(

        # in the incoming message, where to find the png data as a blob

        input_key = "png",

        # in the outgoing message, where to place the rgb data as a tensor

        output_key = "rgb", 

        # name of the node

        name = "PNGDecompressor",

        # prints internal info

        debug = False,

    )