{"id":21501188,"url":"https://github.com/rapidrabbit76/sketchcolorization","last_synced_at":"2025-07-15T22:32:12.312Z","repository":{"id":62634542,"uuid":"320518934","full_name":"rapidrabbit76/SketchColorization","owner":"rapidrabbit76","description":"line drawing colorization using  pytorch","archived":false,"fork":false,"pushed_at":"2022-09-18T11:06:31.000Z","size":9384,"stargazers_count":13,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2023-03-11T11:56:38.047Z","etag":null,"topics":["deep-learning","gans","generative-adversarial-network","machine-learning","onnx","paintschainer","pytorch"],"latest_commit_sha":null,"homepage":"https://omnissiah.ys2lee.com/","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/rapidrabbit76.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":"2020-12-11T08:55:26.000Z","updated_at":"2022-11-03T08:56:32.000Z","dependencies_parsed_at":"2022-11-04T04:13:29.989Z","dependency_job_id":null,"html_url":"https://github.com/rapidrabbit76/SketchColorization","commit_stats":null,"previous_names":[],"tags_count":null,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rapidrabbit76%2FSketchColorization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rapidrabbit76%2FSketchColorization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rapidrabbit76%2FSketchColorization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rapidrabbit76%2FSketchColorization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rapidrabbit76","download_url":"https://codeload.github.com/rapidrabbit76/SketchColorization/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226077515,"owners_count":17570163,"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","gans","generative-adversarial-network","machine-learning","onnx","paintschainer","pytorch"],"created_at":"2024-11-23T17:49:50.092Z","updated_at":"2024-11-23T17:49:50.698Z","avatar_url":"https://github.com/rapidrabbit76.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SketchColorization ([Web](https://omnissiah.ys2lee.com/))\n[![web](./src/web_01.png)](https://omnissiah.ys2lee.com/)\n\n![01](./src/01.png)\n# Model Structure \n\n![02](./src/02.jpg)\n# Samples\n\n![03](./src/03.jpg)\n\n![04](./src/04.jpg)\n# GUI\n\n---\n\n![5](./src/06.png)\n\n\n\n# Requirements\n\n- torch==1.7.1\n- torchvision==0.82\n- numpy==1.19.1\n- tensorboard==2.3.0\n- tqdm==4.28.1\n- opencv_python==4.4.0.46\n- scipy==1.5.2\n- Pillow==7.2.0\n- scikit-learn==0.23.2\n- fbs==0.9.0\n- onnx==1.7.0\n- onnxruntime==1.5.1\n- PyQt5==5.15.1\n- QDarkStyle==2.8.1\n\n# Dataset \n- We crawled over 700,000 illustrations from [shuushuu-image-board](https://e-shuushuu.net/) and used them for learning.\n\n- We have filtered out noise such as extreme aspect ratio, black and white image, low / high key images and etc.\n\n\n# Training\n\n- The learning sequence is 1. autoencoder, 2. draft, 3. colorization.\n\n- set hyperparameters.yml, e.g. paths (image_path and line_path, logdir)\n\n- Start learning after adjusting hyperparameters for each learning step\n\n    - run 'python main.py  -M {autoencoder | draft | colorization}'\n\n# Run APP with source code\n\n- download pretrained onnx model [SketchColorizationModel.onnx](https://github.com/rapidrabbit76/SketchColorization/releases)\n- Copy model to \"app/src/main/resources/base/SketchColorizationModel.onnx\"\n- cd app \n- fbs run \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frapidrabbit76%2Fsketchcolorization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frapidrabbit76%2Fsketchcolorization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frapidrabbit76%2Fsketchcolorization/lists"}