{"id":13934787,"url":"https://github.com/fidler-lab/polyrnn-pp","last_synced_at":"2025-04-05T01:07:11.452Z","repository":{"id":41207633,"uuid":"125578614","full_name":"fidler-lab/polyrnn-pp","owner":"fidler-lab","description":"Inference Code for Polygon-RNN++ (CVPR 2018)","archived":false,"fork":false,"pushed_at":"2018-08-29T16:30:36.000Z","size":1546,"stargazers_count":737,"open_issues_count":6,"forks_count":159,"subscribers_count":46,"default_branch":"master","last_synced_at":"2025-03-29T00:10:05.535Z","etag":null,"topics":["annotation","cvpr2018","deep-learning","instance-annotation","instance-segmentation","labelling","polygon-rnn","polyrnn","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fidler-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}},"created_at":"2018-03-16T23:04:27.000Z","updated_at":"2025-03-25T09:42:51.000Z","dependencies_parsed_at":"2022-08-26T19:20:37.327Z","dependency_job_id":null,"html_url":"https://github.com/fidler-lab/polyrnn-pp","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/fidler-lab%2Fpolyrnn-pp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fidler-lab%2Fpolyrnn-pp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fidler-lab%2Fpolyrnn-pp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fidler-lab%2Fpolyrnn-pp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fidler-lab","download_url":"https://codeload.github.com/fidler-lab/polyrnn-pp/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247271530,"owners_count":20911587,"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":["annotation","cvpr2018","deep-learning","instance-annotation","instance-segmentation","labelling","polygon-rnn","polyrnn","tensorflow"],"created_at":"2024-08-07T23:01:14.134Z","updated_at":"2025-04-05T01:07:11.436Z","avatar_url":"https://github.com/fidler-lab.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# PolygonRNN++\n\nThis is the official inference code for Polygon-RNN++ (CVPR-2018). For technical details, please refer to:  \n\n**An official pytorch reimplementation with training/tool code is available [here](https://github.com/fidler-lab/polyrnn-pp-pytorch)**\n\n**Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++**  \n[David Acuna](http://www.cs.toronto.edu/~davidj/)\\*, [Huan Ling](http:///www.cs.toronto.edu/~linghuan/)\\*, [Amlan Kar](http://www.cs.toronto.edu/~amlan/)\\*, [Sanja Fidler](http://www.cs.toronto.edu/~fidler/) (\\* denotes equal contribution)   \nCVPR 2018  \n**[[Paper](https://arxiv.org/abs/1803.09693)] [[Video](https://www.youtube.com/watch?v=evGqMnL4P3E)] [[Project Page](http://www.cs.toronto.edu/polyrnn/)] [[Demo](http://www.cs.toronto.edu/~amlan/demo/)] [[Training/Tool Code](https://github.com/fidler-lab/polyrnn-pp-pytorch)]**\n![Model](readme/model.png)\n\n### Usage\n   1. Clone the repository \n   ```\n   git clone https://github.com/davidjesusacu/polyrnn \u0026\u0026 cd polyrnn\n   ```\n   2. Install dependencies   \n   (Note: Using a GPU (and tensorflow-gpu) is recommended. The model will run on a CPU, albeit slowly.)\n   ```\n   virtualenv env\n   source env/bin/activate\n   pip install -r requirements.txt\n   ```\n   3. Download the pre-trained models and graphs (448 MB)  \n   (These models were trained on the Cityscapes Dataset)\n   ``` \n   ./models/download_and_unpack.sh \n   ```\n   4. Run demo\\_inference.sh\n   ```\n   ./src/demo_inference.sh \n   ```\n   This should produce results in the output/ folder that look like\n   ![ex2](readme/frankfurt_000000_000294_42.png)\n   ![ex1](readme/medical_00_5_20.png) \n\n### Walkthrough\n   Checkout the ipython [notebook](src/demo_polyrnn.ipynb) that provides a simple walkthrough demonstrating how\n   to run our model on sample input image crops\n\nIf you use this code, please cite:\n\n    @inproceedings{AcunaCVPR18,\n    title={Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++},\n    author={David Acuna and Huan Ling and Amlan Kar and Sanja Fidler},\n    booktitle={CVPR},\n    year={2018}\n    }\n\n    @inproceedings{CastrejonCVPR17,\n    title = {Annotating Object Instances with a Polygon-RNN},\n    author = {Lluis Castrejon and Kaustav Kundu and Raquel Urtasun and Sanja Fidler},\n    booktitle = {CVPR},\n    year = {2017}\n    }\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffidler-lab%2Fpolyrnn-pp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffidler-lab%2Fpolyrnn-pp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffidler-lab%2Fpolyrnn-pp/lists"}