GitHub - andriusland/imgaug: Image augmentation for machine...
OpenCV (i.e.cv2) imageio (pip install imageio) OpenCV has to be manually installed. The other package should auto-install themselves. To install, simply usesudo pip install imgaug. That version might be outdated
GitHub - Xnhyacinth/IAG: [COLING 2025] Awakening Augmented...
📄 Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering 💡 🔔 Code • 📃 Paper • 🤗 Dataset • 🏠 Homepage 🎓 AAG Overview Awakening Augmented Generation(AAG) is a novel framework designed to enhance the knowledge uti...
2025最新imgaug实战指南:10分钟上手数据增强流程-CSDN博客
2026年2月3日imgaug是一款强大的图像增强工具,专为机器学习实验设计,能够帮助开发者快速扩充训练数据集,提升模型的鲁棒性和泛化能力。本文将带你快速掌握imgaug的核心功能和使用方法,让你在10分钟内轻松上手数据增强流程。 📌 什么是imgaug? imgaug是一个开源的Python库,提供了丰富的图像增强方法,支持对图像、关键点、边界框、分割...CSDN博客
imgaug.augmenters.size — imgaug 0.4.0 documentation
Create an augmenter that crops each image until its aspect ratio is as close as possible to 2.0 (i.e. two times as many pixels along the x-axis than the y-axis). The rows to be cropped will be spread equally over the top and bottom sides (analogous for the left/right sides). ...
imgaug库图像增强指南(11):探索加性高斯噪声——图像增强的必修课_高斯...
2024年1月9日本文详细介绍了imgaug库中的AdditiveGaussianNoise方法,用于在深度学习中通过向图像添加加性高斯噪声增强数据集。作者通过实例展示了如何调整参数并结合其他增强技术,以提高模型性能并保持图像质量。 PyTorch 2.7一键部署 PyTorch 是一个开源的 Python 机器学习库,基于 Torch 库,底层由 C++ 实现,应用于人工智能领域,如...CSDN博客
imgaug.augmenters.meta — imgaug 0.4.0 documentation
shape ( tuple )– The expected shape, given as a tuple . The number of entries in the tuple must match the number of dimensions, i.e. it must contain four entries for (N, H, W, C) . If only a single entity is augmented, e.g. via augment_image() , then N is 1 in the in...
isabelleaugenstein (IsabelleAugenstein) · GitHub
Copenhagen, Denmark @IAugenstein AchievementsHighlights Pro Block or Report Pinned Loading uclnlp/stat-nlp-book Public Interactive Lecture Notes, Slides and Exercises for Statistical NLP Jupyter Notebook 272 62 leondz/entity_recognition Public framework fo...
imgaug 图像增强方法_iaa.piecewiseaffine-CSDN博客
2023年9月11日imgaug 是一个比torchvision更强大的数据增强工具包,这不仅体现在数据增强类别上,也包括数据增强方法的使用。比如,imgaug不仅提供了一些常见的shape增强方法和color增强方法,例如旋转、对比度等,也提供了加雨、加雾这些增强方法。此外,imgaug也可以设置keypoint等,对比数据增强前后关键点未知的变化。CSDN博客
augmenters.convolutional — imgaug 0.4.0 documentation
augmenters.convolutional Convolve Apply a Convolution to input images. API link: Convolve Example. Convolve each image with a 3x3 kernel: import imgaug.augmenters as iaa matrix = np . array ([[ 0 , - 1 , 0 ], [ - 1 , 4 , - 1 ], [ 0 , - 1 , 0 ]]) aug = iaa . ...imgaug官方文档
imgaug.augmentables.segmaps — imgaug 0.4.0 documentation
Object representing a segmentation map associated with an image. class imgaug.augmentables.segmaps. SegmentationMapsOnImage ( arr , shape , nb_classes=None ) Bases: imgaug.augmentables.base.IAugmentable Object representing a segmentation map associated with an image. ...
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