{"id":30642114,"url":"https://github.com/kajilabteam/xdr-challenge-pdr-practice-environment","last_synced_at":"2025-08-31T02:05:39.958Z","repository":{"id":307090964,"uuid":"1028281989","full_name":"kajiLabTeam/xdr-challenge-pdr-practice-environment","owner":"kajiLabTeam","description":null,"archived":false,"fork":false,"pushed_at":"2025-08-29T04:29:28.000Z","size":2225,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-29T08:31:07.482Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/kajiLabTeam.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":"2025-07-29T09:46:51.000Z","updated_at":"2025-08-29T04:29:29.000Z","dependencies_parsed_at":"2025-08-17T06:19:16.173Z","dependency_job_id":null,"html_url":"https://github.com/kajiLabTeam/xdr-challenge-pdr-practice-environment","commit_stats":null,"previous_names":["kajilabteam/xdr-challenge-pdr-practice-environment"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kajiLabTeam/xdr-challenge-pdr-practice-environment","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kajiLabTeam%2Fxdr-challenge-pdr-practice-environment","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kajiLabTeam%2Fxdr-challenge-pdr-practice-environment/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kajiLabTeam%2Fxdr-challenge-pdr-practice-environment/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kajiLabTeam%2Fxdr-challenge-pdr-practice-environment/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kajiLabTeam","download_url":"https://codeload.github.com/kajiLabTeam/xdr-challenge-pdr-practice-environment/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kajiLabTeam%2Fxdr-challenge-pdr-practice-environment/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272930015,"owners_count":25017058,"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":"2025-08-31T02:00:09.071Z","response_time":79,"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":"2025-08-31T02:05:37.491Z","updated_at":"2025-08-31T02:05:39.951Z","avatar_url":"https://github.com/kajiLabTeam.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# xDR Challenge 環境を再現したPDR環境\nxDR Challenge でPDRを実装するための環境を再現したものです。\nxDR Challenge では 0.5s ごとに送られてくるデータをリアルタイムで位置推定する必要があります。\nこの環境では、加速度センサとジャイロセンサのデータを使用できる範囲(未来を除く過去~現在の範囲)だけを返すようにしています。\n\n## セットアップ\n仮想環境の作成\n```bash\npython -m venv venv\nsource venv/bin/activate\n```\n\n依存関係のインストール\n```bash\npip install -r requirements.txt\n```\n\n## 使い方\n```py\ndataprovider = DataProvider(maxwait=0.5)\nresults = Results()\n```\nxDR Challenge では 0.5s ごとにデータを取得し、位置推定を行います。\n`maxwait` パラメータを指定することで、取得データの間隔を調整できます。\n\n- `dataprovider`: データを取得するためのイテレータ\n- `results`: 位置推定の結果を格納するためのオブジェクト\n\n```py\nfor acce_df, gyro_df, acce_all_df, gyro_all_df in dataprovider:\n```\n- `acc_df`: 新たに取得した加速度\n- `gyro_df`: 新たに取得した角速度\n- `acce_all_df`: 過去から現在までの加速度\n- `gyro_all_df`: 過去から現在までの角速度\n\n```py\nposition = Position(x=x, y=y, z=z)\n```\n位置を表す名前付きタプルを作成します。\n\n```py\nresults.append(position)\n```\n位置推定の結果を保存します。\n\n```py\nresults.plot_map()\n# results.plot_map(\"output_map.png\")\n```\n位置推定の結果をマップ上にプロットします。\nファイル名を指定することで、画像ファイルとして保存することもできます。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkajilabteam%2Fxdr-challenge-pdr-practice-environment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkajilabteam%2Fxdr-challenge-pdr-practice-environment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkajilabteam%2Fxdr-challenge-pdr-practice-environment/lists"}