netpcvnn Goto Github PK

additive-margin-softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

ai_fpt_practical

ai_practical

android-ndk-game-development-cookbook

Android NDK Game Development Cookbook

android_irrlicht_vuforia

Demo android application with irrlicht and vuforia. Source based on image targets vuforia sample.

android_libs

some useful android libraries

apothecary

(experimental) OpenFramerworks library dependency potion handler

assimp-gsoc2012-fbx

FBX importing branch of Assimp for my Google Summer of Code 2012 project (Blender Foundation). Note that this has been merged back into assimp as of 2013-01-19.

aster_tf

attention-ocr

Image-to-text with attention networks

awesome-computer-vision

A curated list of awesome computer vision resources

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

craft_keras_document

cuda-fe-with-haptics

A Cuda based Haptic Simulation. The original code by Karsten Noe can be found here: http://cg.alexandra.dk/2009/08/13/real-time-finite-element-modelling-using-cuda/

deeplayout

Deep learning based page layout analysis

dependent_libraries

diqa-cnn

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

fcn_ocr_code

fr_public

Farbrausch demo tools 2001-2011

handong1587.github.io

iai_kinect2

Tools for using the Kinect One (Kinect v2) in ROS

icdar2019_ctdar

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

image-matcher

Image recognition implementation in Android, using OpenCV

kinfu_remake

Optimized and reworked version of Kinfu

md5_viewer

MD5 Model viewer

md5viewer

A C++ MD5 (Doom3) model viewer

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

monodepth2

Monocular depth estimation from a single image

ocropus3

Repository collecting all the submodules for the new PyTorch-based OCR System.