xiu-anne Goto Github PK

bm3d_py

pure Python implement of BM3D

cbir

🏞 A content-based image retrieval (CBIR) system

comparison-of-disparity-estimation-algorithms

Implementation of simple block matching, block matching with dynamic programming and Stereo Matching using Belief Propagation algorithm for stereo disparity estimation

computer_vision_opencv_scikit-image_scikit-learn

Codes for Computer Vision using OpenCV & Scikit-image

crack_detection

VGG + Autoencoders + YOLO_v4 + Detectronn2 (Instance Segmentation)

datahacker

code for dataHacker blog

deeplearning-disparitymap-plenopticimages

Deep_Learning: Disparity_Map from Plenoptic_Images (Pytorch)

depthy

depth map computation

dualreconstruction

A image reconstruction and decomposition aloghrithm for Dual-energy Computed Tomography (DECT) based on deep learning.

epi_orm

EPI-based Oriented Relation Networks for Light Field Depth Estimation

epinet

EPINET: A Fully-Convolutional Neural Network using Epipolar Geometry for Depth from Light Field Images

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

gpu-bm3d

GPU-accelerated denoising with bm3d

hr_synthetic_image_generation

GAN + Variational Autoencoders

learn-opencv-cpp-in-4-hours

lf-internet

[ECCV 2020] Spatial-Angular Interaction for Light Field Image Super-Resolution

lfattnet

Attention-based View Selection Networks for Light-field Disparity Estimation

lft

PyTorch Implementation of "Light Field Image Super-Resolution with Transformers"

lightfielddepth

Fast and accurate 4D light field depth estimation via sparse reconstruction and diffusion.

machine_learning_courses

microstructure_characterization

Fiber distribution: aspect ratios + orientations (Le et al., in preparation)

ml_deepct

ML_DeepCT is a machine learning and deep learning CT image processing pipeline, including: CT image reconstruction, registration, stitching, segmentation and digital image analysis

patrecon

Patient-specific reconstruction of volumetric computed tomography images from few-view projections via deep learning

python-image-processing-cookbook

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

resources

A list of data sets and other resources for light fields for computer vision

segmentation_3phasesmedia

Semantic Segmentation; Segmentation of 3-phase media by considering their interfaces (Le et al., in preparation)

softx-d-15-00046

The Light-Field Imaging Toolkit (LFIT) is a collection of MATLAB functions designed to facilitate the rapid processing of raw light field images captured by a plenoptic camera. To cite this software publication: http://www.sciencedirect.com/science/article/pii/S2352711016300127

stereovision_disparitymap_3dpointscloud

Calculate Disparity Map & 3D Points Cloud

tomopy

Tomographic Reconstruction in Python