{"id":13737753,"url":"https://github.com/Erlemar/wheat","last_synced_at":"2025-05-08T15:31:15.071Z","repository":{"id":40960397,"uuid":"261790376","full_name":"Erlemar/wheat","owner":"Erlemar","description":"Wheat Detection challenge on Kaggle","archived":false,"fork":false,"pushed_at":"2023-10-03T21:56:57.000Z","size":75,"stargazers_count":83,"open_issues_count":3,"forks_count":13,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-08-04T03:11:09.257Z","etag":null,"topics":["deep-learning","hydra","kaggle-competition","object-detection","pytorch","pytorch-lightning","torchvision"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Erlemar.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}},"created_at":"2020-05-06T14:50:10.000Z","updated_at":"2024-05-29T19:42:16.000Z","dependencies_parsed_at":"2022-09-03T14:20:23.884Z","dependency_job_id":null,"html_url":"https://github.com/Erlemar/wheat","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Erlemar%2Fwheat","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Erlemar%2Fwheat/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Erlemar%2Fwheat/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Erlemar%2Fwheat/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Erlemar","download_url":"https://codeload.github.com/Erlemar/wheat/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224742329,"owners_count":17362229,"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":["deep-learning","hydra","kaggle-competition","object-detection","pytorch","pytorch-lightning","torchvision"],"created_at":"2024-08-03T03:01:59.710Z","updated_at":"2024-11-15T06:30:55.397Z","avatar_url":"https://github.com/Erlemar.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# wheat_detection\nThis is my repository with a baseline model for [Wheat Detection challenge on Kaggle](https://www.kaggle.com/c/global-wheat-detection)\n\nMain frameworks used:\n* [hydra](https://github.com/facebookresearch/hydra)\n* [pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning)\n\nTo use it for training, perform the following steps:\n* download the data, unzip in and put in some folder;\n* define that folder in config conf/data/data.yaml as a value of the key `data.folder_path`\n* run run_hydra.py script\n\nThere is no script for prediction, because in this competition we have to make prediction in kernels.\n\nRefer to my kernel for more information: https://www.kaggle.com/artgor/object-detection-with-pytorch-lightning\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FErlemar%2Fwheat","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FErlemar%2Fwheat","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FErlemar%2Fwheat/lists"}