{"id":17331086,"url":"https://github.com/mfaizanse/damr","last_synced_at":"2026-05-06T07:34:54.955Z","repository":{"id":97955843,"uuid":"312525445","full_name":"mfaizanse/DAMR","owner":"mfaizanse","description":"Depth-aware Mixed Reality: Capture the AR-Flag","archived":false,"fork":false,"pushed_at":"2020-11-13T09:36:09.000Z","size":33325,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-01T11:15:51.162Z","etag":null,"topics":["3d-reconstruction","computer-vision","deep-learning","python"],"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/mfaizanse.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}},"created_at":"2020-11-13T09:06:48.000Z","updated_at":"2023-06-13T08:13:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"48886958-48da-4b29-ac58-6f4a170576bf","html_url":"https://github.com/mfaizanse/DAMR","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/mfaizanse%2FDAMR","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mfaizanse%2FDAMR/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mfaizanse%2FDAMR/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mfaizanse%2FDAMR/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mfaizanse","download_url":"https://codeload.github.com/mfaizanse/DAMR/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245791971,"owners_count":20672671,"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":["3d-reconstruction","computer-vision","deep-learning","python"],"created_at":"2024-10-15T14:53:25.565Z","updated_at":"2026-05-06T07:34:54.927Z","avatar_url":"https://github.com/mfaizanse.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Depth-aware Mixed Reality: Capture the AR-Flag\n\n## Description\n\nThis repository contains the implementation for the project: Depth-aware Mixed Reality: Capture the AR-Flag. The project's goal is to augment reality with a virtual object which can be interacted with by multiple people. It is split into multiple parts which are listed and whose progress is displayed in [Progress](#Progress). This project was done in the context of the [lab course - perception and learning in robotics and augmented reality](http://campar.in.tum.de/Chair/TeachingSS20PLARR).\n\n## Progress\n\n- [x] Depth Estimation and Camera Pose\n\t- [x] Depth Map Filtering\n\t- [x] Kinect Fusion Integration\n- [x] User Interaction and Scene Manipulation\n\t- [x] ChArUco Marker Tracking\n\t- [x] Human Pose Estimation\n- [x] Realism and Embedding\n\t- [x] Augmented Rendering\n\t- [x] Image Harmonization\n- [x] (Extension) Multiplayer Game: Capture the plane \n\n## Dependencies\n\nThe project depends on the following libraries:\n\n- OpenCV with ArUco contrib module\n- Caffe\n- Pytorch\n- Pyrender\n\n## Project Demo\nA video showcasing our implementation:\n\n[![Demo of the implementation](https://img.youtube.com/vi/ajUJJ6zXu8w/0.jpg)](http://www.youtube.com/watch?v=ajUJJ6zXu8w \"Demo of the implementation\")\n\nThe intermediate slides presenting the project can be seen [here](docs/PLARR_5_mid_presentation.pdf).\nFor the final slides go [here](docs/PLARR_5_final_presentation.pdf).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmfaizanse%2Fdamr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmfaizanse%2Fdamr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmfaizanse%2Fdamr/lists"}