{"library":"imgaug","type":"library","category":null,"description":"imgaug is a Python library for image augmentation in machine learning experiments, particularly for deep neural networks. It supports a wide range of augmentation techniques for images, keypoints/landmarks, bounding boxes, heatmaps, and segmentation maps. The library allows for easy combination of augmenters into sequences, execution in random order or on multiple CPU cores, and provides a powerful stochastic interface. The current stable version is 0.4.0, with releases historically every few months, though the last release was in early 2020.","language":"python","status":"active","version":"0.4.0","tags":["image augmentation","deep learning","computer vision","machine learning","data augmentation"],"last_verified":"Fri May 22","install":[{"cmd":"pip install imgaug","imports":["import imgaug as ia","import imgaug.augmenters as iaa","from imgaug.augmentables.segmaps import SegmentationMapsOnImage"]},{"cmd":"pip install git+https://github.com/aleju/imgaug.git","imports":[]}],"homepage":"https://imgaug.readthedocs.io","github":"https://github.com/aleju/imgaug","docs":null,"changelog":null,"pypi":"https://pypi.org/project/imgaug/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":16,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/imgaug/compatibility"}}