{"id":16461252,"url":"https://github.com/oke-aditya/pytorch_fasterrcnn","last_synced_at":"2025-03-23T10:33:29.297Z","repository":{"id":57457912,"uuid":"266576085","full_name":"oke-aditya/pytorch_fasterrcnn","owner":"oke-aditya","description":"Fine-Tune Pytorch Faster RCNN for your own task.","archived":false,"fork":false,"pushed_at":"2020-12-02T08:34:28.000Z","size":558,"stargazers_count":17,"open_issues_count":1,"forks_count":7,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-10-12T11:06:41.944Z","etag":null,"topics":["deep-learning","detection","pytorch","pytorch-rcnn","torchvision"],"latest_commit_sha":null,"homepage":"https://oke-aditya.github.io/pytorch_fasterrcnn/","language":"Python","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/oke-aditya.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-05-24T16:03:50.000Z","updated_at":"2024-03-20T11:52:44.000Z","dependencies_parsed_at":"2022-09-07T01:53:38.083Z","dependency_job_id":null,"html_url":"https://github.com/oke-aditya/pytorch_fasterrcnn","commit_stats":null,"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fpytorch_fasterrcnn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fpytorch_fasterrcnn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fpytorch_fasterrcnn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fpytorch_fasterrcnn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oke-aditya","download_url":"https://codeload.github.com/oke-aditya/pytorch_fasterrcnn/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":221849541,"owners_count":16891485,"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":["deep-learning","detection","pytorch","pytorch-rcnn","torchvision"],"created_at":"2024-10-11T11:06:49.859Z","updated_at":"2024-10-28T15:36:08.915Z","avatar_url":"https://github.com/oke-aditya.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pytorch Faster RCNN\n\n- Note that this PyPi package is no longer maintained. It will work fine upto this release, but I won't do bug fixes.\n- The entire code and API is migrated to [Quickvison](https://github.com/Quick-AI/quickvision), it has similar API and is maintained actively.\n\n![CI Tests](https://github.com/oke-aditya/pytorch_fasterrcnn/workflows/CI%20Tests/badge.svg)\n![Check Formatting](https://github.com/oke-aditya/pytorch_fasterrcnn/workflows/Check%20Formatting/badge.svg)\n![Build mkdocs](https://github.com/oke-aditya/pytorch_fasterrcnn/workflows/Build%20mkdocs/badge.svg)\n![Deploy mkdocs](https://github.com/oke-aditya/pytorch_fasterrcnn/workflows/Deploy%20mkdocs/badge.svg)\n![PyPi Release](https://github.com/oke-aditya/pytorch_fasterrcnn/workflows/PyPi%20Release/badge.svg)\n![Install Package](https://github.com/oke-aditya/pytorch_fasterrcnn/workflows/Install%20Package/badge.svg)\n\nFaster RCNN Fine-Tune Implementation in Pytorch.\n\n## How to use ?\n1. git clone the repo\n```\ngit clone https://github.com/oke-aditya/pytorch_fasterrcnn.git\n```\n2. Install PyTorch and torchvision for your system.\n\nSimply edit the config file to set your hyper parameters.\n\n3. Keep the training and validation csv file as follows\n\nNOTE\n\nDo not use target as 0 class. It is reserved as background.\n\n\n```\nimage_id xtl ytl xbr ybr      target\n1        xmin ymin xmax ymax   1\n1        xmin ymin xmax ymax   2\n2\t\t xmin ymin xmax ymax   3\n```\n\n4. Simply edit the config file to set your hyper parameters\n\n5. Run the train.py file\n\n# Features: -\n\n- It works for multiple class object detection.\n\n## Backbones Supported: -\n\n\n- Note that backbones are pretrained on imagenet. \n\n- Following backbones are supported\n\n1. vgg11, vgg13, vgg16, vgg19\n2. resnet18, resnet34, resnet50, resnet101, resnet152\n3. renext101\n4. mobilenet_v2\n\n\nSample Outputs\n\n# Helmet Detector\n![Helmet Detection](outputs/helmet.jpg)\n\n# Mask Detector\n![Mask Detection](outputs/mask.jpg)\n\n\n\nIf you like the implemenation or have taken an inspiration do give a star :-)\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foke-aditya%2Fpytorch_fasterrcnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foke-aditya%2Fpytorch_fasterrcnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foke-aditya%2Fpytorch_fasterrcnn/lists"}