{"id":29227237,"url":"https://github.com/hereariim/deep-image-processing","last_synced_at":"2025-08-30T09:38:23.558Z","repository":{"id":272293233,"uuid":"916109305","full_name":"hereariim/Deep-image-processing","owner":"hereariim","description":"Hands on for academic lecture","archived":false,"fork":false,"pushed_at":"2025-02-23T16:13:24.000Z","size":80656,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-15T23:37:43.464Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hereariim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2025-01-13T13:27:45.000Z","updated_at":"2025-04-03T06:15:28.000Z","dependencies_parsed_at":"2025-01-13T14:34:52.157Z","dependency_job_id":"42574de7-5d64-4cbb-887c-fcc8caad329a","html_url":"https://github.com/hereariim/Deep-image-processing","commit_stats":null,"previous_names":["hereariim/deep-image-processing"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hereariim/Deep-image-processing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FDeep-image-processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FDeep-image-processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FDeep-image-processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FDeep-image-processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hereariim","download_url":"https://codeload.github.com/hereariim/Deep-image-processing/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereariim%2FDeep-image-processing/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272833295,"owners_count":25000870,"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","status":"online","status_checked_at":"2025-08-30T02:00:09.474Z","response_time":77,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":[],"created_at":"2025-07-03T09:10:16.356Z","updated_at":"2025-08-30T09:38:23.524Z","avatar_url":"https://github.com/hereariim.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep-image-processing\nHands on for academic lecture\n\nThis lecture focus on the use of codes to run and assess deep model. We are interested on image classification and image segmentation. In view of the range of existing models, we use a classical architecture: CNN and UNet.\n\n## Image classification\n\n## Image segmentation\n\nData : \n- [Nuclei data](https://drive.google.com/file/d/1ZNoqmFJVK-1n9CtgfNI1B2UrKs_5aZRA/view?usp=drive_link)\n- [BCCD](https://www.kaggle.com/datasets/jeetblahiri/bccd-dataset-with-mask?resource=download)\n\n## Object detection and Foundation model\n\nData : \n\n- [Apple](https://uabox.univ-angers.fr/s/XWRYs3j7Aw8T9f7/download/Apple.zip)\n\nLiens utiles : \n\n- [DINO](https://deepdataspace.com/playground/grounding_dino)\n- [Yolov11](https://docs.ultralytics.com/fr/models/yolo11/)\n- [Hyperparamètres](https://docs.ultralytics.com/modes/train/#train-settings)\n- [Prediction](https://docs.ultralytics.com/modes/predict/#key-features-of-predict-mode)\n\n### Deploying model with Napari for public usage\n\nNous allons travailler sur Napari. Si vous êtes muni de votre PC portable, vous devez installer anaconda puis napari (consignes d'installation dans l'exercice 1).\n\n### Conclusion \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereariim%2Fdeep-image-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhereariim%2Fdeep-image-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereariim%2Fdeep-image-processing/lists"}