{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Real-ESRGAN upscales images and videos using deep learning models trained on synthetic data, with specialized support for anime content and face enhancement through integrated GFPGAN.","skillfed_tags":["image-upscaling","video-restoration","deep-learning"],"use_cases":["Upscale low-resolution photographs or screenshots by 2x to 4x without training custom models.","Restore anime images and videos using the specialized anime models.","Enhance faces in portraits or video frames by combining Real-ESRGAN with integrated GFPGAN.","Process archived or degraded video footage frame-by-frame to improve visual quality.","Batch upscale images with tile mode to handle memory constraints on large files."],"what_it_does":"Real-ESRGAN is a practical image and video restoration tool that enlarges low-resolution content using deep neural networks. It extends ESRGAN with models trained purely on synthetic data, making it robust to real-world degradation without requiring paired high/low-resolution training data. The package includes general-purpose upscaling models and specialized anime video models, plus integration with GFPGAN for face enhancement.\n\nYou use it by instantiating an upsampler with a chosen model and calling enhance() on input images or frames. It handles grayscale, 16-bit, and alpha-channel images, supports arbitrary output scales via LANCZOS4 resizing, and offers a tile option for processing large images. The package depends on torch, torchvision, basicsr, gfpgan, facexlib, numpy, opencv-python, Pillow, and tqdm.","worth_installing":"Yes, if you need practical image or video upscaling. Real-ESRGAN is well-established with no known vulnerabilities, permissively licensed, and requires only standard Python dependencies. The dormant maintenance status is not a blocker\u2014the package is feature-complete and stable. Install it if you have a GPU or can tolerate CPU inference; expect to download model weights on first use."},"id":"realesrgan","links":{"html":"https://skillfed.io/packages/realesrgan","md":"https://skillfed.io/packages/realesrgan.md","pypi":"https://pypi.org/project/realesrgan/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2022-09-20","license_spdx":null,"license_treatment":"permissive","name":"realesrgan","python_support":"unspecified","summary":"Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration"},"popularity":{"monthly_downloads":184216,"position":10043,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.0"}