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Hi! I am currently doing an internship (R&D) in a company that relies heavily on computer vision. During my work, I realised that, in most internal projects, the image quality assessment (IQA) metrics were either rewritten from scratch, copy-pasted from another project or borrowed from some open-source implementation (for example pytorch-mssim, pytorch-lpips, ...). In fact, it seems to be the case for a lot of R&D projects in the CV field: everyone uses different IQA implementations.
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