{"id":18514738,"url":"https://github.com/anik120/pl-image_classification","last_synced_at":"2026-04-24T21:33:33.526Z","repository":{"id":144510135,"uuid":"127023582","full_name":"anik120/pl-image_classification","owner":"anik120","description":"A simple ChRIS plugin to classify images.","archived":false,"fork":false,"pushed_at":"2018-03-28T14:55:23.000Z","size":10,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-04T23:19:11.084Z","etag":null,"topics":["image-classification","machine-learning","opensource","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":false,"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/anik120.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-03-27T17:37:39.000Z","updated_at":"2019-05-04T17:10:49.000Z","dependencies_parsed_at":null,"dependency_job_id":"88a26216-2a0a-4ac1-806c-d5fa913e4384","html_url":"https://github.com/anik120/pl-image_classification","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/anik120/pl-image_classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anik120%2Fpl-image_classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anik120%2Fpl-image_classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anik120%2Fpl-image_classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anik120%2Fpl-image_classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anik120","download_url":"https://codeload.github.com/anik120/pl-image_classification/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anik120%2Fpl-image_classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32241794,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-24T13:21:15.438Z","status":"ssl_error","status_checked_at":"2026-04-24T13:21:15.005Z","response_time":64,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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-classification","machine-learning","opensource","tensorflow"],"created_at":"2024-11-06T15:45:23.347Z","updated_at":"2026-04-24T21:33:33.507Z","avatar_url":"https://github.com/anik120.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"################################\npl-image_classification\n################################\n\n\nAbstract\n********\n\nThis is a demo ChRIS plugin app.\n\nThe image plugin runs a neural network to perform a supervised machine learning \ntask (Classification) on the MNSIT data set.\n\nThe MNIST data set is a database of images of handwriten digits, with 60,000 \ntraining data points and 10,000 test data points.\n\nYou can learn more about the MNIST data set here: http://yann.lecun.com/exdb/mnist/\n\nRun\n***\n\n* In your pwd, make two directories and name them 'in' and 'out'.\n\n* Download the dataset from http://yann.lecun.com/exdb/mnist/ and move the \ndownloaded files (.gz) files to the 'in' folder.\n\n\n* Using ``docker run``\n====================\n\nAssign an \"input\" directory to ``/incoming`` and an output directory to ``/outgoing``\n\n.. code-block:: bash\n\n    docker run --rm -v $(pwd)/in:/incoming -v $(pwd)/out:/outgoing   \\\n            fnndsc/pl-image_classification image_classification.py            \\\n            /incoming /outgoing\n\nThis will ...\n\nMake sure that the host ``$(pwd)/out`` directory is world writable!\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanik120%2Fpl-image_classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanik120%2Fpl-image_classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanik120%2Fpl-image_classification/lists"}