Pinned Repositories
albumentations
fast image augmentation library and easy to use wrapper around other libraries
awesome-data-augmentation
This is a list of awesome methods about data augmentation.
BNM
code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
digits2.0
handbook
Handbook of Face Recognition
head-pose-estimation
Head pose estimation by TensorFlow and OpenCV
imagecorruptions
Corrupt arbitrary images.
imgaug
Image augmentation for machine learning experiments.
kaggle_diabetic
Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge
CrazyVertigo's Repositories
CrazyVertigo/kaggle_diabetic
Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge
CrazyVertigo/cityscapesScripts
README and scripts for the Cityscapes Dataset
CrazyVertigo/diabetic-retinopathy-code
Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection
CrazyVertigo/digit
digital meter numbers detection. :one: :two: :three:
CrazyVertigo/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
CrazyVertigo/from-python-to-numpy
A book on numpy vectorization techniques, Nicolas P. Rougier, 2017
CrazyVertigo/gitskills
CrazyVertigo/imgwarp-opencv
Warps an image by a few control points.
CrazyVertigo/Kaggle-Solution
Solution Code for Kaggle Competition
CrazyVertigo/kaggle_diabetic_retinopathy
Fifth place solution of the Kaggle Diabetic Retinopathy competition.
CrazyVertigo/learngit
CrazyVertigo/maven-examples
CrazyVertigo/object_labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
CrazyVertigo/origin
CrazyVertigo/rcnn-depth
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
CrazyVertigo/ultrasound-nerve-segmentation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras