{"id":13497619,"url":"https://github.com/myfavouritekk/vdetlib","last_synced_at":"2025-03-28T22:31:48.492Z","repository":{"id":90212106,"uuid":"43209955","full_name":"myfavouritekk/vdetlib","owner":"myfavouritekk","description":"Video detection library","archived":false,"fork":false,"pushed_at":"2017-01-23T14:47:16.000Z","size":5778,"stargazers_count":183,"open_issues_count":3,"forks_count":76,"subscribers_count":16,"default_branch":"master","last_synced_at":"2024-10-31T14:36:32.033Z","etag":null,"topics":["computer-vision","deep-learning","detection","object-detection","python-library","video","video-object-detection"],"latest_commit_sha":null,"homepage":null,"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/myfavouritekk.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}},"created_at":"2015-09-26T15:07:46.000Z","updated_at":"2024-07-16T06:13:57.000Z","dependencies_parsed_at":"2024-01-16T09:55:35.552Z","dependency_job_id":"5cb8a53b-44b6-488d-b6ca-ae050b1c58dc","html_url":"https://github.com/myfavouritekk/vdetlib","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/myfavouritekk%2Fvdetlib","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/myfavouritekk%2Fvdetlib/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/myfavouritekk%2Fvdetlib/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/myfavouritekk%2Fvdetlib/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/myfavouritekk","download_url":"https://codeload.github.com/myfavouritekk/vdetlib/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246110256,"owners_count":20725022,"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":["computer-vision","deep-learning","detection","object-detection","python-library","video","video-object-detection"],"created_at":"2024-07-31T20:00:34.697Z","updated_at":"2025-03-28T22:31:48.142Z","avatar_url":"https://github.com/myfavouritekk.png","language":"Python","funding_links":[],"categories":["Libraries"],"sub_categories":["Object Detection"],"readme":"# vdetlib - Python library for object detection in videos\n\n## Introduction\n\nThe `vdetlib` python library serves to detection objects in videos. It was originally developed for the [ImageNet VID](http://image-net.org/challenges/LSVRC/2015/index#vid) challenge introduced in [ILSVRC2015](http://image-net.org/challenges/LSVRC/2015/). It contains components such as **region proposal**, **still-image object detection**, **generic object tracking**, **spatial max-pooling** and **temporal convolution**.\n\n\nThe [T-CNN](https://github.com/myfavouritekk/T-CNN) framework contains many tools that utilizes `vdetlib`. Please checkout that repository if you are interested.\n\n## Citing vdetlib\nIf you find vdetlib useful in your research and related project, please consider citing the following work accepted in CVPR 2016.\n\n```latex\n@inproceedings{kang2016object,\n  Title = {Object Detection from Video Tubelets with Convolutional Neural Networks},\n  Author = {Kang, Kai and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang},\n  Booktitle = {CVPR},\n  Year = {2016}\n}\n```\n\n## License\nThis project is released under the MIT License.\n\n## Installations\n### Prerequisites\n1. [caffe](https://github.com/BVLC/caffe) with `Python layer` and `pycaffe`\n2. [FCN tracker](https://github.com/scott89/FCNT)\n3. `Matlab` with python [engine](http://www.mathworks.com/help/matlab/matlab-engine-for-python.html?refresh=true)\n\n### Instructions\n1. Clone the repository\n\n    ```bash\n        $ git clone https://github.com/myfavouritekk/vdetlib.git\n    ```\n\n2. Compilation\n\n    ```bash\n        $ cd vdetlib\n        $ make\n    ```\n    \n## Protocols\nThere are some basic protocol types for using this library. All of them are defined as python dictionaries and are saved as `JSON` files. The definitions are written in the [`protocol.py`](utils/protocol.py).\n\n\n## To-do list\n- [ ] detailed documentation\n- [ ] demo script\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmyfavouritekk%2Fvdetlib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmyfavouritekk%2Fvdetlib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmyfavouritekk%2Fvdetlib/lists"}