Python TorchIO-project/torchio Star2.2k Code Issues Pull requests Discussions Medical imaging processing for AI applications. pythonmachine-learningdeep-learningpytorchmedical-image-computingmedical-imagesdata-
We will also define a Data Augmentation that does nothing of it's own, but combines data augmentations so that they can be applied in aSequence. For each Data Augmentation, we will define two variants of it, astochasticone and adeterministicone. In the stochastic one, the augmentation happe...
Python pqina/filepond Star15.6k Code Issues Pull requests 🌊 A flexible and fun JavaScript file upload library javascriptpluginvanilladrag-and-dropfile-uploadimage-processingfilepond UpdatedApr 18, 2025 JavaScript Fast and flexible image augmentation library. Paper about the library:https://www.mdpi....
/usr/bin/python3 # HiLens Framework 0.2.2 python demo import cv2 import os import hilens...
little computation, so the transformed images do not need to be stored on disk. In our implementation, the transformed images are generated in Python code on the CPU while the GPU is training on the previous batch of images. So these data augmentation schemes are, in effect, computationally ...
little computation, so the transformed images do not need to be stored on disk. In our implementation, the transformed images are generated inPythoncode on the CPU while the GPU is training on the previous batch of images. So these data augmentation schemes are, in effect, computationally free...
In our implementation, the transformed images are generated in Python code on the CPU while the GPU is training on the previous batch of images. 在我们的实现中,转换后的图像是在CPU上用Python代码生成的,而GPU正在对前一批图像进行训练。 So these data augmentation schemes are, in effect, computation...
The open-source Python code of SRDTrans is available at the Zenodo repository61and on GitHub (https://github.com/cabooster/SRDTrans). References Download references Acknowledgements This research was supported by the National Natural Science Foundation of China (62088102, 62222508, 62071272) and Nati...
To test the Capsule network, a python capsule network implementation that aims to detect brain tumors was ported to the pneumonia dataset [37]. It also needs to be run on the GPU VM. Data augmentation design In this paper, three data augmentation algorithms evaluated. It can be seen from ...
of data augmentation, both of which allow transformed images to be produced from the original images with very little computation, so the transformed images do not need to be stored on disk. In our implementation, the transformed images are generated in Python code on the CPU while the GPU is...