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Description
Goals
- Portable / reusable data model. Store individual or comparisons. Proposed JSON for desktop, web , mobile
- 100% self contained.
- Separable analysis tooling and storage utiles
- hashing encoding, vs image diff requirement for rms, faster error tolerance filtering.
- comparison metric: rms, hash
- compression / size reduction. Base64 encoding, jpeg
- transmittable format. Current html results are much too large to transmit / embed efficiently or at all.
- modern and performant math, image library
- current most robust ‘ complete choice is OpenCV (js and python Gpu accelerated).
- Aswf specific targets can be used but is not restricted to this.
- allow for user customizable views of data
- markdown for widest distribution and GitHub compatibility.
- html for specific styling / formatting. Allow legacy 1990’s style html but also make responsive so can view properly on all devices
- utlilities builtto use json model data
- client vs server side action options. Does not require full preprocessing. E.g can do analysis on client side for individual tests vs requiring full reruns.
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