# roboflex.util.jpeg
Roboflex support for jpeg compression to file and memory, and jpeg decompression from memory.
Useful for compressing images over slow transports (wifi, etc).
## System Dependencies
None! We build jpeg-compression from source...
## pip install
pip install roboflex.util.jpeg
## Import
import roboflex.util.jpeg as ruj
## Nodes
There are two complementary nodes: `JPEGCompressor`, which can turn rgb tensors into jpegs in memory, and `JPEGDecompressor`, which does the opposite. Useful either for writing rgb tensors to files, or compressing them (NOTE jpeg is lossy).
# all parameters are optional
c = ruj.JPEGCompressor(
# 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 = "jpeg",
# 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 = "JPEGCompressor",
# prints internal info
debug = False,
)
... and ...
c = ruj.JPEGDecompressor(
# in the incoming message, where to find the jpeg data as a blob
input_key = "jpeg",
# in the outgoing message, where to place the rgb data as a tensor
output_key = "rgb",
# name of the node
name = "JPEGDecompressor",
# prints internal info
debug = False,
)
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"description": "# roboflex.util.jpeg\n\nRoboflex support for jpeg compression to file and memory, and jpeg decompression from memory.\n\nUseful for compressing images over slow transports (wifi, etc).\n\n## System Dependencies\n\n None! We build jpeg-compression from source...\n\n## pip install\n\n pip install roboflex.util.jpeg\n\n## Import\n\n import roboflex.util.jpeg as ruj\n\n## Nodes\n\nThere are two complementary nodes: `JPEGCompressor`, which can turn rgb tensors into jpegs in memory, and `JPEGDecompressor`, which does the opposite. Useful either for writing rgb tensors to files, or compressing them (NOTE jpeg is lossy).\n\n # all parameters are optional\n c = ruj.JPEGCompressor(\n\n # in the incoming message, where to find the rgb tensor\n image_key = \"rgb\",\n\n # in the outgoing message, where to place the jpeg data\n output_key = \"jpeg\", \n\n # If this is provided, will ALSO write jpeg files with this \n # prefix, with a variation of the date and time as the suffix.\n filename_prefix = \"\",\n\n # name of the node\n name = \"JPEGCompressor\",\n\n # prints internal info\n debug = False,\n )\n\n... and ...\n\n c = ruj.JPEGDecompressor(\n\n # in the incoming message, where to find the jpeg data as a blob\n input_key = \"jpeg\",\n\n # in the outgoing message, where to place the rgb data as a tensor\n output_key = \"rgb\", \n\n # name of the node\n name = \"JPEGDecompressor\",\n\n # prints internal info\n debug = False,\n )\n\n\n",
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