{"id":20207210,"url":"https://github.com/pathak22/pyflow","last_synced_at":"2025-04-05T07:04:07.848Z","repository":{"id":53453699,"uuid":"63466102","full_name":"pathak22/pyflow","owner":"pathak22","description":"Fast, accurate and easy to run dense optical flow with python wrapper","archived":false,"fork":false,"pushed_at":"2019-05-31T17:38:55.000Z","size":899,"stargazers_count":653,"open_issues_count":20,"forks_count":138,"subscribers_count":16,"default_branch":"master","last_synced_at":"2025-03-29T06:04:14.759Z","etag":null,"topics":["computer-vision","dense-flow","image-processing","optical-flow","python-optical-flow"],"latest_commit_sha":null,"homepage":"","language":"C++","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/pathak22.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":"2016-07-16T04:50:01.000Z","updated_at":"2025-03-27T08:35:56.000Z","dependencies_parsed_at":"2022-09-09T03:10:52.748Z","dependency_job_id":null,"html_url":"https://github.com/pathak22/pyflow","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/pathak22%2Fpyflow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pathak22%2Fpyflow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pathak22%2Fpyflow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pathak22%2Fpyflow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pathak22","download_url":"https://codeload.github.com/pathak22/pyflow/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247299831,"owners_count":20916190,"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","dense-flow","image-processing","optical-flow","python-optical-flow"],"created_at":"2024-11-14T05:28:00.423Z","updated_at":"2025-04-05T07:04:07.823Z","avatar_url":"https://github.com/pathak22.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Python Dense Optical Flow\n\n**Python** wrapper for Ce Liu's [C++ implementation](https://people.csail.mit.edu/celiu/OpticalFlow/) of Coarse2Fine Optical Flow. This is **super fast and accurate** optical flow method based on Coarse2Fine warping method from Thomas Brox. This python wrapper has minimal dependencies, and it also eliminates the need for C++ OpenCV library. For real time performance, one can additionally resize the images to a smaller size.\n\nRun the following steps to download, install and demo the library:\n  ```Shell\n  git clone https://github.com/pathak22/pyflow.git\n  cd pyflow/\n  python setup.py build_ext -i\n  python demo.py    # -viz option to visualize output\n  ```\n\nThis wrapper code was developed as part of our [CVPR 2017 paper on Unsupervised Learning using unlabeled videos](http://cs.berkeley.edu/~pathak/unsupervised_video/). Github repository for our CVPR 17 paper is [here](https://github.com/pathak22/unsupervised-video).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpathak22%2Fpyflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpathak22%2Fpyflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpathak22%2Fpyflow/lists"}