{"data":{"slug":"pbatch-camerachessweb","name":"CameraChessWeb","tagline":"Record a chess game live and upload the PGN to Lichess","github_url":"https://github.com/Pbatch/CameraChessWeb","owner":"Pbatch","repo":"CameraChessWeb","owner_avatar_url":"https://avatars.githubusercontent.com/u/37177749?v=4","primary_language":"TypeScript","stars":264,"forks":39,"topics":["ai","chess","chess-ai","chess-board","computer-vision","edge-computing","machine-learning","tensorflowjs","yolov8"],"archived":false,"github_pushed_at":"2026-07-10T21:20:48+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/pbatch-camerachessweb","markdown_url":"https://www.graphcanon.com/tools/pbatch-camerachessweb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pbatch-camerachessweb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pbatch-camerachessweb","description":"Record a chess game live and upload the PGN to Lichess","homepage_url":"https://www.chesscam.net","license":"AGPL-3.0","open_issues":8,"watchers":6,"ai_summary":null,"readme_excerpt":"
\n\nšŸ“Œ This app is under active development and may experience minor issues. \nPlease report any bugs on Discord, and we will fix them promptly.\n\n\n \n \n \n
\n \"ChessCam\"\n
\n\n\n\n\nReplace Chess eBoards with your phone camera using ChessCam (https://www.chesscam.net).\n\nDo you have ideas, bugs to report or training footage? Join our [Discord Server](https://discord.gg/3yQth8YBp8).\n\n
\n\n## Demo\n[](https://youtu.be/AAs4EX372bc)\n\n## Roadmap\n\n* Raise an alert when an illegal move is played (currently they're just ignored)\n* Add sounds for the opponents moves in \"/play\"\n* Add support for variants\n* Develop a testing framework for different board + piece sets\n* ... Your next big idea?\n\n## Models, Data, Reports and Scripts\n\nPlease post in the Issues tab if you need any help with:\n* Running inference\n* Exporting models to different formats\n* Training on data of varying resolutions (I.e. 640x640)\n* etc. etc.\n\n### Pieces\n\n| Name | Description | Link |\n| :---: | :---: | :---: |\n| 480M_leyolo_pieces.onnx | LeYOLO ONNX model| https://drive.google.com/file/d/1-80xp_nly9i6s3o0mF0mU9OZGEzUAlGj/view?usp=sharing |\n| 480M_leyolo_pieces.pt | LeYOLO pt model | https://drive.google.com/file/d/1L6PZbSdT-peCmiJGNwmgHJN5MTpfAM-0/view?usp=sharing |\n| pieces.tar.gz | Train/test data in YOLOv5 format | https://drive.google.com/file/d/12-Y3AJckAsFiDTlhQV8R50AK5ilM0s_Z/view?usp=sharing |\n| Report | Weights & Biases report from the LeYOLO training run | https://api.wandb.ai/links/pbatch/g2rcvycv |\n\n### Xcorners\n\n| Name | Description | Link |\n| :---: | :---: | :---: |\n| 480L_leyolo_xcorners.onnx | LeYOLO ONNX model | https://drive.google.com/file/d/1-2wodbiXag9UQ44e2AYAmoRN6jVpxy83/view?usp=sharing |\n| 480L_leyolo_xcorners.pt | LeYOLO pt model | https://drive.google.com/file/d/173orSe8eaytN8nin_HOvd2sEfP_wtOUW/view?usp=sharing |\n| xcorners.tar.gz | Train/test data in YOLOv5 format | https://drive.google.com/file/d/15Liy-vMcujSZak4YRPeC2TpVjIA3AwVM/view?usp=sharing |\n| Report | Weights & Biases report from the LeYOLO training run | https://api.wandb.ai/links/pbatch/ziwur3gr |\n\n### Google Colab scripts\n\n* LeYOLO Training + ONNX export - https://gist.github.com/Pbatch/dccc680ac2f852d4f258e4b6f1997a7b\n* TFJS export - https://gist.github.com/Pbatch/46d958df7e0363e42561bda50163a57a\n\n## Contributors āœØ\n\nThanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):\n\n\n\n\n\n \n \n \n \n \n ","github_created_at":"2023-06-28T23:07:09+00:00","created_at":"2026-07-11T12:32:33.762673+00:00","updated_at":"2026-07-11T12:32:45.158499+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"chess","name":"chess"},{"slug":"chess-ai","name":"chess-ai"},{"slug":"chess-board","name":"chess-board"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"edge-computing","name":"edge-computing"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"tensorflowjs","name":"tensorflowjs"}],"trust":{"provenance":{"is_fork":false,"github_id":659945744,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:32:36.600Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":0,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:32:42.388Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-07-11T12:32:38.739Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:32:38.739Z"},"has_cli":{"value":true,"source":"package.json:bin|scripts","observed_at":"2026-07-11T12:32:38.739Z"},"languages":{"value":["typescript","javascript"],"source":"github.language+package.json","observed_at":"2026-07-11T12:32:38.739Z"},"license_spdx":{"value":"AGPL-3.0","source":"github.license","observed_at":"2026-07-11T12:32:38.739Z"}}}}
\"Conor
Conor Shepherd
šŸ”¬		\"tdr24008\"/
tdr24008
šŸ”¬		\"DakshHandeCode\"/
DakshHandeCode
šŸŽØ		\"ChessScholar\"/
ChessScholar
šŸ›