{"id":20536431,"url":"https://github.com/rimo02/revivr","last_synced_at":"2026-04-15T00:31:15.914Z","repository":{"id":174513722,"uuid":"651596224","full_name":"rimo02/ReviVr","owner":"rimo02","description":"Colorizing black and white Images using Autoencoders","archived":false,"fork":false,"pushed_at":"2023-06-11T21:15:31.000Z","size":98368,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-16T13:59:03.263Z","etag":null,"topics":["encoder-decoder","image-colorization","pytoch","streamlit-webapp"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rimo02.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":"2023-06-09T15:38:25.000Z","updated_at":"2024-07-03T18:11:16.000Z","dependencies_parsed_at":"2023-07-28T17:17:06.032Z","dependency_job_id":null,"html_url":"https://github.com/rimo02/ReviVr","commit_stats":null,"previous_names":["rimo10/image-colorization-project","rimo02/image-colorization-project","rimo02/revivr"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rimo02%2FReviVr","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rimo02%2FReviVr/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rimo02%2FReviVr/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rimo02%2FReviVr/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rimo02","download_url":"https://codeload.github.com/rimo02/ReviVr/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242143879,"owners_count":20078959,"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":["encoder-decoder","image-colorization","pytoch","streamlit-webapp"],"created_at":"2024-11-16T00:36:39.102Z","updated_at":"2026-04-15T00:31:15.872Z","avatar_url":"https://github.com/rimo02.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Colorizing Black and White Images\nhttps://github.com/rimo10/Image-Colorization-Project/assets/70977847/5b3fa0c8-9c20-46f6-a518-6180d69f0305\n## Tech Stack\n* [PyTorch ](https://pytorch.org/) for Model Training \u003cbr\u003e\n* [Streamlit ](https://streamlit.io/) for making the web Application\n\n## Datasets used\nThe following datasets were used to train the model\n\u003cbr\u003e\nBase\n1. [ImageNet 12k ](https://www.kaggle.com/datasets/lijiyu/imagenet)\n \nLandscape\n1. [Landscape Recognition | Image Dataset | 12k Images](https://www.kaggle.com/datasets/utkarshsaxenadn/landscape-recognition-image-dataset-12k-images)\n2. [Landscape Pictures ](https://www.kaggle.com/datasets/arnaud58/landscape-pictures)\n \nPerson\n1. [Human Faces ](https://www.kaggle.com/datasets/ashwingupta3012/human-faces)\n2. [FFHQ Face Data Set ](https://www.kaggle.com/datasets/greatgamedota/ffhq-face-data-set) \n\nFruits and Flowers\n1. [Fruits 360 ](https://www.kaggle.com/datasets/moltean/fruits)\n\nAnimals\n1. [Animals Detection Images Dataset ](https://www.kaggle.com/datasets/antoreepjana/animals-detection-images-dataset)\n\n## Train your own model\nYou can use the pretrained weights avialable under `models` folder. Or if you want you can train on your own custom dataset \n1. Clone the repo `https://github.com/rimo10/Image-Colorization-Project.git`\n2. Open `Image_Colorizer.ipynb` \n3. Copy the model path and run the cell - \n \n ```python \n def load_checkpoint(model,path):\n     model.load_state_dict(torch.load(path)) \n     return model\n     \n load_checkpoint(model,your_weights_path)\n ```\n \n ## To Run the Web App\n 1. Clone the repo `git clone https://github.com/rimo10/Image-Colorization-Project.git`\n 2. If you don't have streamlit installed then `pip install streamlit`\n 3.  Go to the root directory of project and run `streamlit run -main.py` in the terminal . This will open an interactive web application. Now drag and drop and see the Magic\n \u003cbr\u003e\n Happy Colorization :hugs: !! \n \n ## References\n Paper: [Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2 ](https://arxiv.org/pdf/1712.03400v1.pdf)\n \n## License\nAll rights reserved under MIT License\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frimo02%2Frevivr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frimo02%2Frevivr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frimo02%2Frevivr/lists"}