{"id":21229307,"url":"https://github.com/ndrplz/surround_vehicles_awareness","last_synced_at":"2025-10-23T20:35:17.897Z","repository":{"id":47900005,"uuid":"88993493","full_name":"ndrplz/surround_vehicles_awareness","owner":"ndrplz","description":"Learn to map surrounding vehicles onto a bird's eye view of the scene.","archived":false,"fork":false,"pushed_at":"2020-02-12T02:00:38.000Z","size":6416,"stargazers_count":189,"open_issues_count":3,"forks_count":69,"subscribers_count":13,"default_branch":"master","last_synced_at":"2023-11-07T18:24:40.037Z","etag":null,"topics":["adas","bird-eye","deep-learning","self-driving-car","synthetic-data"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ndrplz.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":"2017-04-21T14:41:09.000Z","updated_at":"2023-11-03T20:56:29.000Z","dependencies_parsed_at":"2022-09-22T01:50:39.269Z","dependency_job_id":null,"html_url":"https://github.com/ndrplz/surround_vehicles_awareness","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndrplz%2Fsurround_vehicles_awareness","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndrplz%2Fsurround_vehicles_awareness/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndrplz%2Fsurround_vehicles_awareness/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndrplz%2Fsurround_vehicles_awareness/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ndrplz","download_url":"https://codeload.github.com/ndrplz/surround_vehicles_awareness/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225645506,"owners_count":17501694,"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":["adas","bird-eye","deep-learning","self-driving-car","synthetic-data"],"created_at":"2024-11-20T23:26:38.357Z","updated_at":"2025-10-23T20:35:17.811Z","avatar_url":"https://github.com/ndrplz.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Learning to Map Vehicles into Bird's Eye View\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"img/task_overview.png\" height=\"180\"\u003e\n\u003c/p\u003e\n\nThis code accompanies the paper *[\"Learning to map surrounding vehicles into bird's eye view using synthetic data\"](https://arxiv.org/pdf/1706.08442.pdf)*.\n\nIt contains the code for loading data and pre-trained SDPN model proposed in the paper.\n\n## How-to-run\n\nScript entry-point is in **[main.py](main.py)**. \n\nWhen **[main.py](main.py)** is run, *pretrained weights* are automatically downloaded and injected in the **[model](model.py)**.\n\nModel is then used to perform and inference on a sample data, mapping a car from the dashboard camera view to the bird's eye view of the scene. If everything works correctly, the output should look like this.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"img/helloworld.PNG\"\u003e\n\u003c/p\u003e\n\n#### Dependencies\nThe code was developed with the following configuration:\n* python 2.7.11\n* numpy 1.11.2\n* opencv 3.1.0\n* Theano 0.9.0.dev3\n* Keras 1.1.2\n\nOther configuration will reasonably work, but have never been explicitly tested.\n\n## Dataset \nIn this repository only one example is provided, to the end of verifying that the model is working correctly.\n\nThe **whole dataset**, which comprises more than **1M** couples of bounding boxes, can be found \u003ca href=\"http://imagelab.ing.unimore.it/imagelab/page.asp?IdPage=19\" target=\"_blank\"\u003e\u003cb\u003ehere\u003c/b\u003e\u003c/a\u003e.\n\nTo get an idea of how the data look like you can check [this video](https://www.youtube.com/watch?v=t2mXv9j6LNw).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fndrplz%2Fsurround_vehicles_awareness","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fndrplz%2Fsurround_vehicles_awareness","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fndrplz%2Fsurround_vehicles_awareness/lists"}