Firstly normalize and scale the images to assure consistency before proceeding with the preprocessing and augmentation of posture estimation data for better performance.

Image Augmentation Tool This Python script allows you to apply basic image transformations like flipping, rotating, scaling, and cropping. It's useful for expanding datasets in image processing tasks.

Python 3D Image Augmentation for 3D Image Segmentation This is a lightweight libaray/framework containing a collection of mothods for 3D image data augmentation. Its intended usage is pair-wise ...

Albumentation is a fast image augmentation library and easy to use with other libraries as a wrapper. The package is written on NumPy, OpenCV, and imgaug.

Image classifiers often degrade in performance when test images differ significantly from the training distribution due to real-world image corruptions. Frequency-based augmentations can be used to ...

Python has become the default language of solving complex data problems due to its ease of use, plethora of domain-specific software libraries, and stellar community and ecosystem. All of these things ...

Facebook has recently open-sourced AugLy, a new Python library that aims to help AI researchers use data augmentations to evaluate and improve the durability of their machine learning models. AugLy ...

I've typically used Python libraries like OpenCV, scikit-image, and Tensorflow/Pytorch to perform preprocessing and augmentation for tracking patient pose detection and analysis in healthcare.