{"repo":"chaofengc/IQA-PyTorch","free":true,"listed":false,"github":"https://github.com/chaofengc/IQA-PyTorch","clone":"git clone https://github.com/chaofengc/IQA-PyTorch.git","description":"🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...","language":"Python","stars":3371,"topics":["iqa","image-quality-assessment","blind-image-quality-assessment","pytorch","pytorch-implementation","python","image-aesthetic-assessment","ms-ssim","psnr","ssim"],"license":null,"category":"machine-learning","readme_excerpt":"An Image Quality Assessment (IQA) toolbox with pure python and pytorch. 🚀 Install with pip install pyiqa :open book: Introduction This is a comprehensive image quality assessment (IQA) toolbox built with pure Python and PyTorch . We provide reimplementation of many widely used full reference (FR) and no reference (NR) metrics, with results calibrated against official MATLAB scripts when available . With GPU acceleration, our implementations are much faster than their Matlab counterparts. Please refer to the following documents for details: 📦 Model Cards 🗃️ Dataset Cards 📚 Documentation 📈Benchmark 🤗 Datasets Download (HF Mirror) Model Download (HF Mirror) [!TIP] - If you cannot access Hugging Face, try the mirror site hf-mirror.com to download datasets and models. - 无法访问 Hugging Face 时，可尝试使用镜像网站 hf-mirror.com 下载数据集和模型权重。设置环境变量 export HF ENDPOINT=https://hf-mirror.com 。 - The default model cache directory is /.cache/torch/hub/pyiqa/ . --- :triangular flag on post: Updates/Changelog - 🆕 Jun, 2026 . Add qrealign (Q-ReAlign), a modern Q-Align visual scorer on a Qwen3.5-VL backbone, with three sizes qrealign-mini (0.8B) / qrealign-lite (4B) / qrealign-pro (9B). Requires transformers =5.0 . See Q-ReAlign. - 🆕 May, 2026 . Add fgresq metric from FGResQ. Thanks to their great work 🤗, and see the paper for details. - 👉 Dec, 2025 .Add FR-IQA method dmm proposed in paper, with SVD-based debiased mapping to mitigate perception bias. Thanks to baoliang for their great work 🤗, ref","default_branch":null,"files":null,"tree":[],"storefront":"/r/chaofengc","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/chaofengc/IQA-PyTorch/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}