{"id":15967752,"url":"https://github.com/elucidation/bird_viewer","last_synced_at":"2025-04-04T14:25:00.480Z","repository":{"id":215144128,"uuid":"738224651","full_name":"Elucidation/bird_viewer","owner":"Elucidation","description":"View bird events from camera","archived":false,"fork":false,"pushed_at":"2024-01-07T01:04:01.000Z","size":13659,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-10T00:16:39.772Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://www.tetralark.com/bird_viewer/","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/Elucidation.png","metadata":{"files":{"readme":"README.md","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}},"created_at":"2024-01-02T18:14:37.000Z","updated_at":"2024-01-07T01:00:15.000Z","dependencies_parsed_at":"2024-01-07T02:33:02.019Z","dependency_job_id":null,"html_url":"https://github.com/Elucidation/bird_viewer","commit_stats":null,"previous_names":["elucidation/bird_viewer"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Elucidation%2Fbird_viewer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Elucidation%2Fbird_viewer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Elucidation%2Fbird_viewer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Elucidation%2Fbird_viewer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Elucidation","download_url":"https://codeload.github.com/Elucidation/bird_viewer/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247192002,"owners_count":20899017,"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":[],"created_at":"2024-10-07T18:41:18.258Z","updated_at":"2025-04-04T14:25:00.459Z","avatar_url":"https://github.com/Elucidation.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Birb overview\n\nI have a camera that tracks and captures small crop images of motion objects including birds.\nIt sees several types of birds (crows, juncos, finches, sparrows etc.) which I'd like to classify.\n\n![Predictions](predictions.png)\n\n# Classfication Model Training\n\n[Model training ipython notebook](bird_classify.ipynb)\n\nTrained on the [Caltech-UCSD Birds-200-2011 (CUB-200-2011)](https://paperswithcode.com/dataset/cub-200-2011) dataset. It contains 11,788 images of 200 subcategories belonging to birds, 5,994 for training and 5,794 for testing.\n\nWe take a MobileNetV2 architecture with the last layer removed, replaced with dropout -\u003e dense(200) -\u003e dropout -\u003e dense(70) for 70 groups of birds.\n\n![model](model.png)\n\nGenerally it performs with 80% accuracy on the test dataset.\n\n# Camera events\n\n```json\n[\n    {\"area\":null,\n    \"box\":null,\n    \"camera\":\"birbcam\",\n    \"end_time\":1704213300.999055,\n    \"false_positive\":null,\n    \"has_clip\":true,\n    \"has_snapshot\":true,\n    \"id\":\"1704213243.00595-x47jwu\",\n    \"label\":\"bird\",\n    \"plus_id\":null,\n    \"ratio\":null,\n    \"region\":null,\n    \"retain_indefinitely\":false,\n    \"start_time\":1704213238.00595,\n    \"sub_label\":null,\n    \"top_score\":0.82421875,\n    \"zones\":[],\n    \"thumbnail\":\"\u003cbase64 encoded image\u003e\"},\n    // ... more entries \n]\n\n```\n\nThe camera provides the cropped images and associated metadata as an events JSON data file.\nFirst, lets make a webpage that can load this JSON events file and do some simple visualizations.\n\n![Example page](example_page.jpg)\n\n\n## Running\n\n`python -m http.server`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felucidation%2Fbird_viewer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Felucidation%2Fbird_viewer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felucidation%2Fbird_viewer/lists"}