{"library":"piq","type":"library","category":null,"description":"PIQ (PyTorch Image Quality) is a collection of measures and metrics for automatic image quality assessment in image-to-image tasks such as denoising, super-resolution, and image generation. Currently at version 0.8.0, the library offers both functional interfaces for calculating metrics and PyTorch modules for using them as loss functions. It has a regular release cadence, with minor versions released every 1-2 months, continually extending its set of measures and metrics.","language":"python","status":"active","version":"0.8.0","tags":["pytorch","image-quality","metrics","computer-vision","deep-learning"],"install":[{"cmd":"pip install piq","imports":["from piq import ssim","from piq import SSIMLoss","from piq import brisque","from piq import CLIPIQA"]},{"cmd":"conda install piq -c photosynthesis-team -c conda-forge -c pytorch","imports":[]}],"homepage":"https://piq.iwearshorts.com","github":"https://github.com/photosynthesis-team/piq","docs":null,"changelog":null,"pypi":"https://pypi.org/project/piq/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":67.4,"avg_import_s":12.92,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/piq/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}