{"id":20434193,"url":"https://github.com/vt-vl-lab/flownet2.pytorch","last_synced_at":"2025-08-23T02:32:49.717Z","repository":{"id":69893833,"uuid":"120696866","full_name":"vt-vl-lab/flownet2.pytorch","owner":"vt-vl-lab","description":"Off-the-shelf FlowNet module in PyTorch-0.3.0","archived":false,"fork":false,"pushed_at":"2018-04-03T19:10:55.000Z","size":1766,"stargazers_count":117,"open_issues_count":6,"forks_count":35,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-04-12T21:11:47.547Z","etag":null,"topics":["optical-flow"],"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/vt-vl-lab.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-02-08T01:58:00.000Z","updated_at":"2025-02-17T04:37:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"52cf3865-b28d-47c5-9319-d6e88984a026","html_url":"https://github.com/vt-vl-lab/flownet2.pytorch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vt-vl-lab/flownet2.pytorch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vt-vl-lab%2Fflownet2.pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vt-vl-lab%2Fflownet2.pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vt-vl-lab%2Fflownet2.pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vt-vl-lab%2Fflownet2.pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vt-vl-lab","download_url":"https://codeload.github.com/vt-vl-lab/flownet2.pytorch/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vt-vl-lab%2Fflownet2.pytorch/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271732383,"owners_count":24811312,"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","status":"online","status_checked_at":"2025-08-23T02:00:09.327Z","response_time":69,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["optical-flow"],"created_at":"2024-11-15T08:24:55.834Z","updated_at":"2025-08-23T02:32:49.609Z","avatar_url":"https://github.com/vt-vl-lab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## FlowNet2 (PyTorch v0.3.0)\n\nPytorch implementation of [FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks](https://arxiv.org/abs/1612.01925). Most part are from this [repo](https://github.com/NVIDIA/flownet2-pytorch), we made it as a off-the-shelf package:\n- After installation, just copy the whole folder FlowNet2_src to your codebase to use. See demo.py for details.\n\n### Environment\n\nThis code has been test with Python3.6 and PyTorch0.3.0, with a Tesla K80 GPU. The system is Ubuntu 14.04.\n\n### Installation \n\n    # install custom layers\n    cd FlowNet2_src\n    bash install.sh\n\nNote: you might need to modify [here](https://github.com/vt-vl-lab/pytorch_flownet2/blob/master/FlowNet2_src/models/components/ops/channelnorm/make.sh#L10), [here](https://github.com/vt-vl-lab/pytorch_flownet2/blob/master/FlowNet2_src/models/components/ops/correlation/make.sh#L12), and [here](https://github.com/vt-vl-lab/pytorch_flownet2/blob/master/FlowNet2_src/models/components/ops/resample2d/make.sh#L10), according to the GPU you use.\n\n### Converted Caffe Pre-trained Models\n* [FlowNet2](https://drive.google.com/file/d/1hF8vS6YeHkx3j2pfCeQqqZGwA_PJq_Da/view?usp=sharing)[620MB]\n* [FlowNet2-C](https://drive.google.com/file/d/1BFT6b7KgKJC8rA59RmOVAXRM_S7aSfKE/view?usp=sharing)[149MB]\n* [FlowNet2-CS](https://drive.google.com/file/d/1iBJ1_o7PloaINpa8m7u_7TsLCX0Dt_jS/view?usp=sharing)[297MB]\n* [FlowNet2-CSS](https://drive.google.com/file/d/157zuzVf4YMN6ABAQgZc8rRmR5cgWzSu8/view?usp=sharing)[445MB]\n* [FlowNet2-CSS-ft-sd](https://drive.google.com/file/d/1R5xafCIzJCXc8ia4TGfC65irmTNiMg6u/view?usp=sharing)[445MB]\n* [FlowNet2-S](https://drive.google.com/file/d/1V61dZjFomwlynwlYklJHC-TLfdFom3Lg/view?usp=sharing)[148MB]\n* [FlowNet2-SD](https://drive.google.com/file/d/1QW03eyYG_vD-dT-Mx4wopYvtPu_msTKn/view?usp=sharing)[173MB]\n\n### Inference mode\nFirst download pre-trained models of FlowNet2 and modify the path, then\n\n```\npython demo.py\n```    \n\nIf installation is sucessful, you should see the following:\n![FlowNet2 Sample Prediction](/FlowNet2_src/example/flow0.png?raw=true)\n   \n### Reference \nIf you find this implementation useful in your work, please acknowledge it appropriately and cite the paper using:\n````\n@InProceedings{IMKDB17,\n  author       = \"E. Ilg and N. Mayer and T. Saikia and M. Keuper and A. Dosovitskiy and T. Brox\",\n  title        = \"FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks\",\n  booktitle    = \"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)\",\n  month        = \"Jul\",\n  year         = \"2017\",\n  url          = \"http://lmb.informatik.uni-freiburg.de//Publications/2017/IMKDB17\"\n}\n````\n\n### Acknowledgments\n* [NVIDIA/flownet2-pytorch](https://github.com/NVIDIA/flownet2-pytorch): Most part\n* [hellock/flownet2-pytorch](https://github.com/hellock/flownet2-pytorch): Python3.x and PyTorch0.3.0 support\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvt-vl-lab%2Fflownet2.pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvt-vl-lab%2Fflownet2.pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvt-vl-lab%2Fflownet2.pytorch/lists"}