Image augmentation for machine learning experiments.
- image-augmentation
- machine-learning
- augmentation
- deep-learning
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Image augmentation for machine learning experiments.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
A tour in the wonderland of math with python.
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Maya Workflow Kit: the whole Maya workflow in Blender, in one install. Hotbox, marking menus, Channel Box, Attribute Editor, menu sets, shelves and Maya concepts. Free, GPL Blender extension for Maya users.
A Python package to analyze matrix fiber orientation and intensity around cells as a proxy for cellular forces. Also measures alignment relative to X/Y axes, points and lines, with optional masks, a Python API and browser tools for analysis and group comparisons.