{"id":20009909,"url":"https://github.com/i008/easyimages","last_synced_at":"2025-05-04T19:35:58.513Z","repository":{"id":57425114,"uuid":"146040976","full_name":"i008/easyimages","owner":"i008","description":"Thin wrapper ontop of PIL to explore,visualize and share images","archived":false,"fork":false,"pushed_at":"2020-10-15T19:49:28.000Z","size":7186,"stargazers_count":16,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-23T00:04:28.549Z","etag":null,"topics":["image-dataset","image-processing","image-viewer","imread","pil","pillow","visualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/i008.png","metadata":{"files":{"readme":"README.MD","changelog":"HISTORY.rst","contributing":"CONTRIBUTING.rst","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-08-24T21:19:23.000Z","updated_at":"2024-11-14T10:12:45.000Z","dependencies_parsed_at":"2022-09-13T15:23:14.268Z","dependency_job_id":null,"html_url":"https://github.com/i008/easyimages","commit_stats":null,"previous_names":[],"tags_count":19,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i008%2Feasyimages","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i008%2Feasyimages/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i008%2Feasyimages/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i008%2Feasyimages/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/i008","download_url":"https://codeload.github.com/i008/easyimages/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252390754,"owners_count":21740380,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["image-dataset","image-processing","image-viewer","imread","pil","pillow","visualization"],"created_at":"2024-11-13T07:17:27.894Z","updated_at":"2025-05-04T19:35:56.951Z","avatar_url":"https://github.com/i008.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# easyimages\n\n![Build Test Release](https://github.com/i008/easyimages/workflows/Build%20Test%20Release/badge.svg)\n\n# Info\n\nThis small but handy package solves several issues i had while working with images and image datasets - especially in the context\nof exploring datsets, inspecting and shareing the results.\nKeep in mind that his package is not directly related to the training process and loading\nimage data, for that i found pytorch dataloading patterns to work very well.\n\n# Installation\n```bash\npip install easyimages\n```\n\n\nFeatures\n--------\n- Simple API\n- Easy image exploration\n- Inteligent behaviour based on execution context (terminal, jupyter etc)\n- Lazy evaluation\n- Loading images from many different sources (filesystem, pytorch, numpy, web-urls, etc)\n- Storing annotations (tags, bounding boxes) allong the image in the same object\n- Visualizing labels (drawing boxes and drawing the label onto the image)\n- Visualizing images as Grids (ImagesLists)\n- Visualizing huge amounts of images at once (by leveraging fast html rendering)\n- Displaying images while working in jupyter notebook\n- Displaying images inline in console mode (iterm)\n\n\n\n\nCredits\n-------\nMAP calculation code comes from: \nhttps://github.com/MathGaron/mean_average_precision\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fi008%2Feasyimages","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fi008%2Feasyimages","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fi008%2Feasyimages/lists"}