{"id":20948419,"url":"https://github.com/devbruce/cutmiximagedatagenerator_for_keras","last_synced_at":"2025-05-14T02:30:47.566Z","repository":{"id":62566078,"uuid":"200823176","full_name":"devbruce/CutMixImageDataGenerator_For_Keras","owner":"devbruce","description":"Keras implementation of CutMix regularizer","archived":false,"fork":false,"pushed_at":"2020-02-11T01:22:44.000Z","size":9,"stargazers_count":29,"open_issues_count":3,"forks_count":12,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-11-09T05:46:47.968Z","etag":null,"topics":["augmentation","cutmix","generator","keras","regularizer"],"latest_commit_sha":null,"homepage":"","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/devbruce.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":"2019-08-06T09:47:18.000Z","updated_at":"2024-08-12T19:51:43.000Z","dependencies_parsed_at":"2022-11-03T16:15:34.003Z","dependency_job_id":null,"html_url":"https://github.com/devbruce/CutMixImageDataGenerator_For_Keras","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devbruce%2FCutMixImageDataGenerator_For_Keras","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devbruce%2FCutMixImageDataGenerator_For_Keras/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devbruce%2FCutMixImageDataGenerator_For_Keras/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devbruce%2FCutMixImageDataGenerator_For_Keras/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/devbruce","download_url":"https://codeload.github.com/devbruce/CutMixImageDataGenerator_For_Keras/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225270789,"owners_count":17447671,"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":["augmentation","cutmix","generator","keras","regularizer"],"created_at":"2024-11-19T00:18:34.315Z","updated_at":"2024-11-19T00:18:34.783Z","avatar_url":"https://github.com/devbruce.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CutMixImageDataGenerator (Keras)\n\n![GitHub release (latest by date)](https://img.shields.io/github/v/release/DevBruce/CutMixImageDataGenerator_For_Keras)\n\n\u003e Paper: [CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features](https://arxiv.org/abs/1905.04899)\n\n## Citation\n\n```\n@misc{yun2019cutmix,\n    title={CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features},\n    author={Sangdoo Yun and Dongyoon Han and Seong Joon Oh and Sanghyuk Chun and Junsuk Choe and Youngjoon Yoo},\n    year={2019},\n    eprint={1905.04899},\n    archivePrefix={arXiv},\n    primaryClass={cs.CV}\n}\n```\n\n\u003cbr\u003e\n\n## Install\n\n```bash\n$ pip install cutmix-keras\n```\n\n\u003cbr\u003e\n\n## Using Example\n\n```python\n# (some codes) ...\nfrom cutmix_keras import CutMixImageDataGenerator  # Import CutMix\n\n\ntrain_datagen = ImageDataGenerator(\n    rescale=1./255,\n)\n\ntrain_generator1 = train_datagen.flow_from_dataframe(\n    dataframe=X_train,\n    directory=IMG_DIR,\n    target_size=(IMG_SIZE, IMG_SIZE),\n    x_col='X_Column',\n    y_col='Y_Column',\n    color_mode='rgb',\n    class_mode='categorical',\n    batch_size=BATCH_SIZE,\n    shuffle=True,  # Required\n)\n\ntrain_generator2 = train_datagen.flow_from_dataframe(\n    dataframe=X_train,\n    directory=IMG_DIR,\n    target_size=(IMG_SIZE, IMG_SIZE),\n    x_col='X_Column',\n    y_col='Y_Column',\n    color_mode='rgb',\n    class_mode='categorical',\n    batch_size=BATCH_SIZE,\n    shuffle=True,  # Required\n)\n\n# !! Define CutMixImageDataGenerator !!\ntrain_generator = CutMixImageDataGenerator(\n    generator1=train_generator1,\n    generator2=train_generator2,\n    img_size=IMG_SIZE,\n    batch_size=BATCH_SIZE,\n)\n\n# (some codes) ...\nhistory = model.fit_generator(\n        generator=train_generator,\n        steps_per_epoch=train_generator.get_steps_per_epoch(),\n        # (some parameters) ...\n        )\n```\n\n\u003cbr\u003e\n\n### Example of Kaggle Kernel\n\nLink: [[KaKR\\_2019\\_3rd] CutMix, Ensemble (Keras)](https://www.kaggle.com/devbruce/kakr-2019-3rd-cutmix-ensemble-keras#Generator)\n\n\u003cbr\u003e\n\n- `generator1`, `generator2` need same generator applied `flow` method\n\n\u003cbr\u003e\n\n- `generator1`, `generator2` need `shuffle=True`  \nIf `shuffle=False`, This generator cutmix with same images.  \nSo there would no augmentation\n\n\u003cbr\u003e\n\n- Why are there two same generators? (`generator1`, `generator2`)  \n\\-\\-\\\u003e To Solve Reference Problem  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevbruce%2Fcutmiximagedatagenerator_for_keras","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevbruce%2Fcutmiximagedatagenerator_for_keras","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevbruce%2Fcutmiximagedatagenerator_for_keras/lists"}