{"id":21307071,"url":"https://github.com/dino65-dev/esrgan_model","last_synced_at":"2025-03-15T19:48:39.109Z","repository":{"id":259156064,"uuid":"863656839","full_name":"dino65-dev/ESRGAN_Model","owner":"dino65-dev","description":"This is ESRGAN_Model Finetuned with 4k video frames.","archived":false,"fork":false,"pushed_at":"2024-10-27T09:54:16.000Z","size":70340,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-22T09:12:02.722Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dino65-dev.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":"2024-09-26T17:12:52.000Z","updated_at":"2024-10-27T09:54:19.000Z","dependencies_parsed_at":"2024-11-21T16:47:18.227Z","dependency_job_id":null,"html_url":"https://github.com/dino65-dev/ESRGAN_Model","commit_stats":null,"previous_names":["dino65-dev/esrgan_model"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dino65-dev%2FESRGAN_Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dino65-dev%2FESRGAN_Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dino65-dev%2FESRGAN_Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dino65-dev%2FESRGAN_Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dino65-dev","download_url":"https://codeload.github.com/dino65-dev/ESRGAN_Model/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243784103,"owners_count":20347409,"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":"2024-11-21T16:29:35.376Z","updated_at":"2025-03-15T19:48:39.091Z","avatar_url":"https://github.com/dino65-dev.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## ESRGAN_Model ![Repo Stars](https://img.shields.io/github/stars/dino65-dev/lox?style=social) ![Forks](https://img.shields.io/github/forks/dino65-dev/lox?style=social) ![Watchers](https://img.shields.io/github/watchers/dino65-dev/lox?style=social)\n This is ESRGAN_Model Finetuned with 4k video frames.\n## ESRGAN (Enhanced SRGAN) Fine Tuned Using [:rocket: [[Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)] Model.\n\n# Quick Test\n### Dependencies\n- Python 3\n- [Pytorch \u003e= 1.0](https://pytorch.org/)  (CUDA version \u003e= 7.5 if installing with CUDA.[More Details](https://pytorch.org/get-started/previous-versions/))\n- Python packages: ``` pip install numpy opencv-python ```\n## Test Models\n1. Clone this github repo.\n```\ngit clone https://github.com/dino65-dev/ESRGAN_Model.git\ncd ESRGAN_Model\n```\n2. Place your own low-resolution images in ```./LR``` folder. (There are two sample images - baboon and comic).\n3. I've downloaded and fine tuned the model. But you can download pretrained models from [Google Drive](https://drive.google.com/drive/u/0/folders/17VYV_SoZZesU6mbxz2dMAIccSSlqLecY) or [Baidu Drive](https://pan.baidu.com/s/1-Lh6ma-wXzfH8NqeBtPaFQ). Place the models in ```./models```. We provide two models with high perceptual quality and high PSNR performance (see [model list](https://github.com/xinntao/ESRGAN/tree/master/models)).\n4. Run test. We provide ESRGAN model and RRDB_PSNR model and you can config in the ```test.py```.\n```\n python test.py\n```\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdino65-dev%2Fesrgan_model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdino65-dev%2Fesrgan_model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdino65-dev%2Fesrgan_model/lists"}