Image checks

[LucaCappelletti94]

We need to add the following checks to the images being uploaded:

• Blurriness (the images must not be blurry)
• Size (Images larger than a given amount should be resized)
• Shape (Degenerate pictures that are extremely squewed on one size are no acceptable)
• Distortion (Destorted images cannot be accepted)
• Color-schema (pictures with weird color schemas cannot be accepted)
• Pictures that are NOT photographs cannot be accepted

What other things should we take into account?

[oolonek]

Some starters

• https://crates.io/crates/image

• https://crates.io/crates/imageproc

• https://kosinix.github.io/raster/docs/raster/

[oolonek]

In case we would like to retrieve text from images (e.g. for nameplates) we could

• https://github.com/tesseract-ocr/tesseract
• and its Rust bindings https://crates.io/crates/tesseract

[LucaCappelletti94]

Only consider software that can be compiled to wasm. This means in most cases no bindings.

[oolonek]

https://github.com/robertknight/ocrs

ocrs is a Rust library and CLI tool for extracting text from images, also known as OCR (Optical Character Recognition).

The goal is to create a modern OCR engine that:

Works well on a wide variety of images (scanned documents, photos containing text, screenshots etc.) with zero or much less preprocessing effort compared to earlier engines like Tesseract. This is achieved by using machine learning more extensively in the pipeline. Is easy to compile and run across a variety of platforms, including WebAssembly Is trained on open and liberally licensed datasets Has a codebase that is easy to understand and modify Under the hood, the library uses neural network models trained in PyTorch, which are then exported to ONNX and executed using the RTen engine. See the models section for more details.