{"id":18745578,"url":"https://github.com/vpanjeta/deep-object-removal","last_synced_at":"2025-04-12T21:32:58.738Z","repository":{"id":63332385,"uuid":"150531244","full_name":"VPanjeta/Deep-Object-Removal","owner":"VPanjeta","description":"Using cGANs to remove objects from a photo","archived":false,"fork":false,"pushed_at":"2018-10-10T05:19:51.000Z","size":60734,"stargazers_count":108,"open_issues_count":1,"forks_count":25,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-26T16:01:35.998Z","etag":null,"topics":["cgans","deep-learning","deep-neural-networks","deep-object-removal","gans","neural-network","object-removal"],"latest_commit_sha":null,"homepage":null,"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/VPanjeta.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":"2018-09-27T05:03:05.000Z","updated_at":"2025-03-16T12:12:55.000Z","dependencies_parsed_at":"2022-11-17T05:32:08.069Z","dependency_job_id":null,"html_url":"https://github.com/VPanjeta/Deep-Object-Removal","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/VPanjeta%2FDeep-Object-Removal","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VPanjeta%2FDeep-Object-Removal/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VPanjeta%2FDeep-Object-Removal/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VPanjeta%2FDeep-Object-Removal/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VPanjeta","download_url":"https://codeload.github.com/VPanjeta/Deep-Object-Removal/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248636335,"owners_count":21137430,"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":["cgans","deep-learning","deep-neural-networks","deep-object-removal","gans","neural-network","object-removal"],"created_at":"2024-11-07T16:18:43.530Z","updated_at":"2025-04-12T21:32:53.728Z","avatar_url":"https://github.com/VPanjeta.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Object Removal\n\nImage completion is a challenging problem because it requires a high-level recognition of scenes. This project tries to achieve object removal from images and get the base image reconstructed based on surrounding colours and objects using conditional GANs.\n\n# Overview\nThis project is an implementation of cGANs discussed in the paper for [\\[General Image Completion\\]](https://www.dropbox.com/s/e4l19y9ggqqk2yf/0360.pdf?dl=1)  \nThe models are tweaked a little and implemented to remove objects from images and reconstruct the image without the object.\n\n# Example Usage\n![](images/example/example.gif)\n\n## Hot Keys\n\\[Esc\\]: To quit the windowed application.  \n\\[f\\]: To filter out the masked object.  \n\\[n\\]: To go to the next image.  \n\\[r\\]: To refresh and undo all the masking in the current image.  \n\n# Description\n## Files\n### images/\nThe folder that contains the images to be used in the project. Currently the project requires images of dimensions 400 x 400 which can be changed in the main.py file. \n\n###  model/\nThis folder contains the pretrained model that is trained on mscoco dataset and the model definition file which is written in tensorflow.\n\n### main.py\nThe main file to run the program. The code runs as an OpenCV windowed application.\n\n### requirements.txt\nThe requirements file for the project\n\n## Installation\nTo install the dependencies type\n\n```\nsudo pip3 install -r requirements.txt\n```\n\n## Run\nTo run the application type\n\n```{python}\npython3 main.py\n```\n\nThis will run the demo as an OpenCV application \n\n## Dependencies\nThe project requires the following packages:  \n\n\nOpenCV and OpenCV_python 3.3.0.10  \nTensorflow 1.10.1  \nNumpy 1.13.3","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvpanjeta%2Fdeep-object-removal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvpanjeta%2Fdeep-object-removal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvpanjeta%2Fdeep-object-removal/lists"}