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Replacement for jp2iser/tizer
PR #4 fixed a scaling issue by removing progressive downscaling.
This ensures that the returned values are correct but takes slightly longer to calculate. If the calling system is aware of what the sizes should be, then they may be willing to accept a slight margin for error in the returned values. Have a flag to allown progressive downcaling to be enabled/disabled depending on needs of consuming app.
Either on startup or per request? Or a default of 'correct', but can be overriden per request.
After processing an image, remove any working artifacts (e.g. .tiff file)
If I make a call to POST /convert
with an empty ({}
), or unrecognised body I get a 200 response code back, with the following JSON:
{
"message": "Unknown operation",
"status": "error"
}
This should be a non 2xx (400?) response.
Allow more operations to be specified? Currently you can:
Other options could be:
Both of these options can be achieved by calling "ingest"
and disregarding some of the output but that incurs unnecessary compute cost.
2 dependencies within the project are not pinned correctly and cause the build to fail.
These are werkzeug
in flask
and PyYaml
in awscli
. based on this stack overflow it looks like pinning pyyaml may have security implications
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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