{"id":19085052,"url":"https://github.com/jaywalnut310/linear-transformer-for-table-recognition","last_synced_at":"2026-03-05T07:36:30.936Z","repository":{"id":49479095,"uuid":"363100591","full_name":"jaywalnut310/linear-transformer-for-table-recognition","owner":"jaywalnut310","description":"code for participation in ICDAR2021 Table Recognition track (Team Name: LTIAYN = Kaen Context)","archived":false,"fork":false,"pushed_at":"2021-06-16T21:19:43.000Z","size":986,"stargazers_count":21,"open_issues_count":5,"forks_count":6,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-04-18T23:59:53.729Z","etag":null,"topics":["table-recognition"],"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/jaywalnut310.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":"2021-04-30T10:05:15.000Z","updated_at":"2024-03-15T18:59:12.000Z","dependencies_parsed_at":"2022-08-24T18:31:08.728Z","dependency_job_id":null,"html_url":"https://github.com/jaywalnut310/linear-transformer-for-table-recognition","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/jaywalnut310%2Flinear-transformer-for-table-recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaywalnut310%2Flinear-transformer-for-table-recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaywalnut310%2Flinear-transformer-for-table-recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaywalnut310%2Flinear-transformer-for-table-recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jaywalnut310","download_url":"https://codeload.github.com/jaywalnut310/linear-transformer-for-table-recognition/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251675764,"owners_count":21625885,"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":["table-recognition"],"created_at":"2024-11-09T02:53:37.734Z","updated_at":"2026-03-05T07:36:30.880Z","avatar_url":"https://github.com/jaywalnut310.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Linear Transformer for Table Recognition\n\n## Introduction\n\nThis is the code repository for participation in [ICDAR2021 Competition on scientific literature parsing - Task B: Table recognition](https://icdar2021.org/competitions/competition-on-scientific-literature-parsing/) (Team Name: LTIAYN = Kaen Context).\n\n\n\n\u003cdiv align=center\u003e\n\u003cimg src=\"./resources/ltiayn.png\" /\u003e\n\u003c/div\u003e\n\n\n\n- Dataset: [PubTabNet](https://github.com/ibm-aur-nlp/PubTabNet)\n- Metric: [Tree-Edit-Distance-based Similarity(TEDS)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)\n- Baseline: [Image-based table recognition: data, model, and evaluation](https://arxiv.org/abs/1911.10683)\n\n\n## 0. Before Training\n\n1. change the prefined data directory '/data/private/datasets/pubtabnet' to your own data directory in 'processing_pubtabnet.py', 'configs/linear_transformer.yaml'\n2. `python processing_pubtabnet.py`\n\n\n## 1. Training\n\n``` bash\npython train.py model_dir=base\n```\n\n\n## 2. After Training\n\n1. inference\n\n```bash\npython inference.py -m \"./outputs/base/\" -i \"/data/private/datasets/pubtabnet/val/\" -o \"./results/val1\" -nt 16 -ni 0 -na 20\npython inference.py -m \"./outputs/base/\" -i \"/data/private/datasets/pubtabnet/val/\" -o \"./results/val1\" -nt 16 -ni 1 -na 20\n...\npython inference.py -m \"./outputs/base/\" -i \"/data/private/datasets/pubtabnet/val/\" -o \"./results/val1\" -nt 16 -ni 15 -na 20\n```\n\n2. evalution\n\n```bash\npython score.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaywalnut310%2Flinear-transformer-for-table-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaywalnut310%2Flinear-transformer-for-table-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaywalnut310%2Flinear-transformer-for-table-recognition/lists"}