{"id":16653106,"url":"https://github.com/nitin-bommi/image-enhancement","last_synced_at":"2025-03-12T17:17:48.280Z","repository":{"id":112157788,"uuid":"458735438","full_name":"nitin-bommi/image-enhancement","owner":"nitin-bommi","description":null,"archived":false,"fork":false,"pushed_at":"2022-02-15T12:07:19.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-19T10:09:38.352Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nitin-bommi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2022-02-13T07:01:26.000Z","updated_at":"2022-02-13T07:07:39.000Z","dependencies_parsed_at":"2023-04-05T15:32:50.638Z","dependency_job_id":null,"html_url":"https://github.com/nitin-bommi/image-enhancement","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/nitin-bommi%2Fimage-enhancement","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin-bommi%2Fimage-enhancement/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin-bommi%2Fimage-enhancement/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin-bommi%2Fimage-enhancement/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nitin-bommi","download_url":"https://codeload.github.com/nitin-bommi/image-enhancement/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243258505,"owners_count":20262300,"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":[],"created_at":"2024-10-12T09:43:06.368Z","updated_at":"2025-03-12T17:17:48.254Z","avatar_url":"https://github.com/nitin-bommi.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Detecting Objects Under Extreme Illumination Conditions\n\nWith the spirit of reproducible research, this repository contains all the codes required to produce the results in the manuscript: \n\n\u003e N. S. Bommi, A. L. Costuchen, and S. Dev, Detecting Objects Under Extreme Illumination Conditions, *under review*, 2022.\n\nPlease cite the above paper if you intend to use whole/part of the code. This code is only for academic and research purposes.\n\n\n## Code Organization\nAll codes are written in `python`. \n\n### Code \nThe script to reproduce all the figures, tables in the paper are as follows:\n+ `brightness_enhancement.py`: Loads the pretrained RetinaNet model and performs brighntess enhancement on a set of images. \n+ `contrast_enhancement.py`: Performs contrast enhancement on the images specified in the path.\n+ `custom_model.py`: To train the model with custom weights and images. The model can be trained from a checkpoint or from scratch.\n+ `preprocess.py`: Clean the dataset by identifying images whose annotations are not valid and removing them while saving the rest in separate folders.  \n+ `pretrained_model.py`: Performs object detection on a single image by using a pretrained model. \n+ `results.py`: Code used to generate various plots for comparison. \n+ `sharpness_enhancement.py`: Performs sharpness enhancement on the images specified in the path. A pretrained or a custom trained model can be used. \n\n### Pretrained RetinaNet model \nThe model used for the experiments can be found [here](https://drive.google.com/file/d/1L4UZv-_VtWP2yWkTQZo9OIP5c4T8vl5F/view?usp=sharing).\n\n### Dataset \nWe also share the dataset used in our paper, and can be found [here](https://drive.google.com/drive/folders/1rkix-gDmcGn4f0BBbs7WQvxs27Dcbql1?usp=sharing).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnitin-bommi%2Fimage-enhancement","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnitin-bommi%2Fimage-enhancement","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnitin-bommi%2Fimage-enhancement/lists"}