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albumentations

albumentations-team / albumentations

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Ensure input image for A.Compose is continuous

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BloodAxe
BloodAxe commented Oct 6, 2021

Enhancement

A discussion in #614 revealed a good place for improvement - we should ensure that input image is continuous upon start of the augmentation pipeline. This could be implemented by adding image = np.ascontiguousarray(image) to image and mask targets.

A proposed place to add this call - somewhere at the beginning of A.Compose.__call__.

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curiousily / Deep-Learning-For-Hackers

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Star 807

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

python machine-learning deep-learning sentiment-analysis tensorflow keras artificial-intelligence neural-networks object-detection jupyter-notebooks autoencoders tensorflow-tutorial bert image-augmentation anomaly-detection time-series-classification time-series-forecasting lstms intent-recognition
  • Updated Apr 23, 2020
  • Jupyter Notebook

kunalj101 / Data-Science-Hacks

Star 338

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

python nlp data-science data machine-learning computer-vision numpy pandas-dataframe pandas data-visualization python3 dataset ipynb data-analysis tips-and-tricks hacks nlp-machine-learning image-augmentation pandas-tutorial pandas-python
  • Updated Nov 7, 2021
  • Jupyter Notebook
WB_color_augmenter

mahmoudnafifi / WB_color_augmenter

Star 133

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

computer-vision deep-learning cnn image-classification deeplearning semantic-segmentation data-augmentation image-augmentation color-correction whitebalance deep-neural-network white-balance color-constancy iccv19 iccv2019 color-augmentation
  • Updated Aug 8, 2021
  • MATLAB

MuhammedBuyukkinaci / Object-Classification-and-Localization-with-TensorFlow

Star 22

This repository is containing an object classification & localization project for SINGLE object.

localization tensorflow cnn neural-networks classification alexnet convolutional-neural-networks object-detection image-augmentation multiclass-classification tensorflow-gpu ready-to-use cnn-tensorflow ready-to-run object-localization image-localization tensorflow-image-localization single-image-localization image-classification-localization alexnet-localization
  • Updated May 19, 2019
  • Python

HistoCleanQUB / HistoClean

Star 19

HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.

gui deep-learning images image-processing gui-application convolutional-neural-networks image-analysis image-augmentation image-augmentation-preprocessing
  • Updated Feb 18, 2022
  • Python

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