{"data":{"slug":"ibm-max-image-resolution-enhancer","name":"MAX-Image-Resolution-Enhancer","tagline":"Upscale an image by factor of 4 with photo-realistic details","github_url":"https://github.com/IBM/MAX-Image-Resolution-Enhancer","owner":"IBM","repo":"MAX-Image-Resolution-Enhancer","owner_avatar_url":"https://avatars.githubusercontent.com/u/1459110?v=4","primary_language":"Python","stars":1042,"forks":161,"topics":["ai","codait","computer-vision","docker-image","ibm","machine-learning","machine-learning-models","neural-network","tensorflow"],"archived":false,"github_pushed_at":"2025-09-17T20:30:28+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/ibm-max-image-resolution-enhancer","markdown_url":"https://www.graphcanon.com/tools/ibm-max-image-resolution-enhancer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ibm-max-image-resolution-enhancer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ibm-max-image-resolution-enhancer","description":"Upscale an image by a factor of 4, while generating photo-realistic details.","homepage_url":"https://developer.ibm.com/exchanges/models/all/max-image-resolution-enhancer/","license":"Apache-2.0","open_issues":17,"watchers":45,"ai_summary":"IBM/MAX-Image-Resolution-Enhancer is a Python-based AI tool for enhancing the resolution and realism of images using neural networks, specifically optimized to upscale images four times their original size.","readme_excerpt":"# Deployment options\n\n* [Deploy from Quay](#deploy-from-quay)\n* [Deploy on Red Hat OpenShift](#deploy-on-red-hat-openshift)\n* [Deploy on Kubernetes](#deploy-on-kubernetes)\n* [Run Locally](#run-locally)","github_created_at":"2019-03-19T16:51:25+00:00","created_at":"2026-07-11T12:26:50.199251+00:00","updated_at":"2026-09-22T06:00:44.099297+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"codait","name":"codait"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"docker-image","name":"docker-image"},{"slug":"ibm","name":"ibm"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"machine-learning-models","name":"machine-learning-models"},{"slug":"neural-network","name":"neural-network"}],"trust":{"provenance":{"is_fork":false,"github_id":176559063,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-22T06:00:43.266Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":369,"last_release_at":"2019-06-18T16:35:53Z","stars_delta_30d":2,"open_issues_delta_30d":-1},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":330,"high_count":0,"last_scan_at":"2026-07-11T12:26:52.696Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-22T06:00:43.761Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-09-22T06:00:43.761Z","managed_saas":false},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-22T06:00:43.761Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-09-22T06:00:43.761Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-22T06:00:43.761Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Python environment with TensorFlow installed."],"min_ram_gb":null},"constraints":{"min_ram_gb":null},"when_to_use":["When you need to upscale images specifically by a factor of 4 and require high-quality, realistic results using neural networks.","If you are working in an environment where TensorFlow is preferred or already utilized for other machine learning tasks."],"when_not_to_use":["Avoid when the image needs to be upscaled by factors other than four, as this tool specifically caters to a quadruple increase in resolution.","Do not use if your project does not align with Python and TensorFlow environments, or requires upscaling methods that prioritize different quality characteristics over photo-realism."],"source":"enrich:decision_facts","observed_at":"2026-07-17T00:23:09.519Z"},"constraint_facets":{"min_ram_gb":null},"decision_summary":[{"label":"Requirements","value":"Python environment with TensorFlow installed."},{"label":"Adopt for","value":"The MAX-Image-Resolution-Enhancer is a Python-based AI tool optimized for upscaling images by four times their original size with photo-realistic details."},{"label":"License detail","value":"The MAX-Image-Resolution-Enhancer is open-source software licensed under the Apache License, Version 2.0."}]}}