Pinned Repositories
Augmentor
Data augmentation for training 3D convolutional nets
Awesome-Neuron-Segmentation-in-EM-Images
A curated list of resources for 3D segmentation of neurites in EM images
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
ImageStitching
ImageStitching
optical-flow
Perceptual_metric
Three preceptual metrics, including vgg distance, inception score and FID score
pytorch_mala
SPC-Net
Style Projected Clustering for Domain Generalized Semantic Segmentation
weihuang527's Repositories
weihuang527/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
weihuang527/cifar-10-cnn
Play deep learning with CIFAR datasets
weihuang527/ComputerVision
weihuang527/cremi
Python scripts to read and write the CREMI hdf5 file format.
weihuang527/CS231n
The assignment of CS231n
weihuang527/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
weihuang527/deepem3d
weihuang527/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
weihuang527/EM-data
dataset loader
weihuang527/EM-wiki-code
list of packages used in VCG connectomics group
weihuang527/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
weihuang527/ffn
Flood-Filling Networks for instance segmentation in 3d volumes.
weihuang527/ffn_distributed
Distributed version of Google's flood-filling network (ffn)
weihuang527/gala
Automatic segmentation of electron microscopy volumes
weihuang527/Harris-Corner-Detector
Computer Vision class exercise 2
weihuang527/hw
helloworld
weihuang527/instance-seg
instance segmentation with deep metric learning and context
weihuang527/mala
Training and evaluation scripts for MALA (https://arxiv.org/abs/1709.02974).
weihuang527/malis
MALIS structured loss function for supervised learning of segmentation and clustering
weihuang527/MFCLearning
weihuang527/mnist
Some samples of the MNIST classifier.
weihuang527/NeuroProof
Tool for graph-based image segmentation and analysis
weihuang527/OpenCVLearning
weihuang527/OpenGLLearning
weihuang527/pymalis
Simple python module to compute the MALIS loss.
weihuang527/Python-High-Performance-Second-Edition
Python High Performance – Second Edition, published by Packt
weihuang527/rh_aligner
weihuang527/tensorflow-CNN-CIFAR-10
weihuang527/tensorflow.cifar10
The examples of image recognition with the dataset CIFAR10 via tensorflow.
weihuang527/waterz
Simple watershed and agglomeration library for affinity graphs.