{"id":17315991,"url":"https://github.com/paroj/linemod_dataset","last_synced_at":"2025-04-14T14:21:40.184Z","repository":{"id":78916971,"uuid":"119707154","full_name":"paroj/linemod_dataset","owner":"paroj","description":"Hinterstoisser et al. ACCV12 dataset","archived":false,"fork":false,"pushed_at":"2019-12-14T18:12:29.000Z","size":9,"stargazers_count":46,"open_issues_count":3,"forks_count":9,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-28T03:22:28.670Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://campar.in.tum.de/Main/StefanHinterstoisser","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/paroj.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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}},"created_at":"2018-01-31T15:42:41.000Z","updated_at":"2025-02-07T02:21:39.000Z","dependencies_parsed_at":"2023-03-04T09:15:49.779Z","dependency_job_id":null,"html_url":"https://github.com/paroj/linemod_dataset","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paroj%2Flinemod_dataset","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paroj%2Flinemod_dataset/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paroj%2Flinemod_dataset/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paroj%2Flinemod_dataset/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/paroj","download_url":"https://codeload.github.com/paroj/linemod_dataset/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248894948,"owners_count":21179154,"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":"2024-10-15T13:11:14.736Z","updated_at":"2025-04-14T14:21:40.176Z","avatar_url":"https://github.com/paroj.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Converter Utilities for the ACCV LINEMOD Dataset\n\nThe LINEMOD dataset is widely used for various 6D pose estimation and camera localization algorithms.\n\nUnfortunately each author chose to convert the original data into an own file format and only support loading from that data.\n\nThis repository therefore provides a set of python functions to read and convert the original LINEMOD data to the respective formats.\n\nThis way one can compare the algorithms using the exact same input data.\n\n## ACCV LINEMOD Dataset\n\nThe extensive ACCV database is public (over 18000 real images with 15 different objects and ground truth pose)! \n\nEach dataset contains the 3D model saved as a point cloud object.xyz\nformat: \n```\n#_of_voxels size_of_voxel_in_cm \nx1_in_cm y1_in_cm z1_in_cm normal_x1 normal_y1 normal_z1 color_x1_normalized_to_1 color_y1_normalized_to_1 color_z1_normalized_to_1\n...\n```\nand a file called distance.txt with the maximum diameter of the object (in cm). \n\nFor some datasets we also provide a nice mesh model in the ply format (in mm - with better normals). The original mesh is contained in OLDmesh.ply. For most datasets we registered this OLDmesh.ply to the point cloud with the transformation stored in transform.dat (first number is not important, then each first number of a line is obsolete - for the rest: the transformation matrix [R|T] is stored rowwise (in m)). \n\nThe registered mesh is stored in mesh.ply. In the folder data you can find the color images, the aligned depth images and the ground truth rotation and translation (in cm).\n\nIn order to read the depth images you can use this function. \n\nThe internal camera matrix parameters for the kinect are:\n```\nfx=572.41140, px=325.26110, fy=573.57043, py=242.04899\n```\n\nColor image and depth image are already aligned by the internal alignement procedure of Kinect.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparoj%2Flinemod_dataset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fparoj%2Flinemod_dataset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparoj%2Flinemod_dataset/lists"}