{"id":21448332,"url":"https://github.com/berensrwu/densemap","last_synced_at":"2025-07-14T20:31:19.651Z","repository":{"id":40990571,"uuid":"316505308","full_name":"BerensRWU/DenseMap","owner":"BerensRWU","description":"Creates a dense depth map from LiDAR point clouds.","archived":false,"fork":false,"pushed_at":"2022-09-19T09:18:22.000Z","size":1795,"stargazers_count":71,"open_issues_count":3,"forks_count":14,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-08-19T17:09:51.643Z","etag":null,"topics":["depth-map","kitti-dataset","lidar","point-cloud","projection-mapping"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BerensRWU.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-11-27T13:13:16.000Z","updated_at":"2024-08-13T09:35:58.000Z","dependencies_parsed_at":"2023-01-18T10:17:40.430Z","dependency_job_id":null,"html_url":"https://github.com/BerensRWU/DenseMap","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/BerensRWU%2FDenseMap","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BerensRWU%2FDenseMap/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BerensRWU%2FDenseMap/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BerensRWU%2FDenseMap/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BerensRWU","download_url":"https://codeload.github.com/BerensRWU/DenseMap/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225994727,"owners_count":17556830,"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":["depth-map","kitti-dataset","lidar","point-cloud","projection-mapping"],"created_at":"2024-11-23T03:15:01.075Z","updated_at":"2024-11-23T03:15:01.606Z","avatar_url":"https://github.com/BerensRWU.png","language":"Python","readme":"# Get a dense Depth map from sparse LiDAR point clouds\n\nThis repository contains a short python script to get a dense depth map from a LiDAR point cloud for a known camera. The original code is written in matlab and is from balcilar(https://github.com/balcilar/DenseDepthMap).\n\nIn dense_map.py is the function to generate the dense depth map (depth_map) and in main.py the code is used on the KITTI dataset.\n\ndepth_map gets the projected LiDAR point cloud, the size of the camera image and the grid size. A grid size of 4 means a 9x9 neighbourhood is used and weighted depth information is calculated according to the distance of the neighbourhood. \n\n![](https://github.com/BerensRWU/DenseMap/blob/main/image/depth_maps.png)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fberensrwu%2Fdensemap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fberensrwu%2Fdensemap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fberensrwu%2Fdensemap/lists"}