Fork of imgaug: A library for image augmentation in machine learning experiments, particularly convolutional
neural networks. Supports the augmentation of images, keypoints/landmarks, bounding boxes, heatmaps and segmentation
maps in a variety of different ways.
Raw data
{
"_id": null,
"home_page": "https://github.com/marcown/imgaug",
"name": "imgaug-denk",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "augmentation,image,deep learning,neural network,CNN,machine learning,computer vision,overfitting",
"author": "",
"author_email": "",
"download_url": "https://files.pythonhosted.org/packages/88/35/5ad208ace80e42c96d4a7a4e8cde477ff5aba328e7205f87e22825dd4a59/imgaug-denk-0.4.4.tar.gz",
"platform": null,
"description": "Fork of imgaug: A library for image augmentation in machine learning experiments, particularly convolutional\nneural networks. Supports the augmentation of images, keypoints/landmarks, bounding boxes, heatmaps and segmentation\nmaps in a variety of different ways.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Image augmentation library for deep neural networks",
"version": "0.4.4",
"project_urls": {
"Download": "https://github.com/marcown/imgaug/archive/0.4.4.tar.gz",
"Homepage": "https://github.com/marcown/imgaug"
},
"split_keywords": [
"augmentation",
"image",
"deep learning",
"neural network",
"cnn",
"machine learning",
"computer vision",
"overfitting"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "0a4640b439851ec4e053a0ffc929b3d98a700a2de262298b7c8c3ecdd5f025ff",
"md5": "72b0e98205358e42f7d14a4251c71238",
"sha256": "9fdace471a3dd0523103c624c2cab82385df6abb671e1b493b75f1c64a91e068"
},
"downloads": -1,
"filename": "imgaug_denk-0.4.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "72b0e98205358e42f7d14a4251c71238",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 961141,
"upload_time": "2024-03-14T08:24:09",
"upload_time_iso_8601": "2024-03-14T08:24:09.680096Z",
"url": "https://files.pythonhosted.org/packages/0a/46/40b439851ec4e053a0ffc929b3d98a700a2de262298b7c8c3ecdd5f025ff/imgaug_denk-0.4.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "88355ad208ace80e42c96d4a7a4e8cde477ff5aba328e7205f87e22825dd4a59",
"md5": "9155118822ee269fc738329e2e36107a",
"sha256": "bd275730e02fff20e48f9b2a53611990c4b7f15a2e74ccd5da62318252810335"
},
"downloads": -1,
"filename": "imgaug-denk-0.4.4.tar.gz",
"has_sig": false,
"md5_digest": "9155118822ee269fc738329e2e36107a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 953391,
"upload_time": "2024-03-14T08:24:12",
"upload_time_iso_8601": "2024-03-14T08:24:12.260048Z",
"url": "https://files.pythonhosted.org/packages/88/35/5ad208ace80e42c96d4a7a4e8cde477ff5aba328e7205f87e22825dd4a59/imgaug-denk-0.4.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-03-14 08:24:12",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "marcown",
"github_project": "imgaug",
"travis_ci": true,
"coveralls": false,
"github_actions": true,
"requirements": [],
"lcname": "imgaug-denk"
}