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Amusi's Projects

sphereface icon sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

stitching icon stitching

Fiji's Stitching plugins reconstruct big images from tiled input images.

styleguide icon styleguide

Style guides for Google-originated open-source projects

synthtext icon synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorlayer icon tensorlayer

TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

tesseract-vs2013 icon tesseract-vs2013

Tesseract OCR engine and dependencies with VS 2012 support, both 64 and 32 bit.

test_kaze_akaze_opencv icon test_kaze_akaze_opencv

Program for testing the KAZE and A-KAZE ports in OpenCV. The idea is to test the OpenCV port to match the performance of the original library.

text-detection-ctpn icon text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

tf-lift icon tf-lift

Tensorflow port of LIFT (ECCV 2016), with training code.

tfclassifier icon tfclassifier

Tensorflow based training and classification scripts for text, images, etc

theano icon theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

train_cnn-rnn-attention icon train_cnn-rnn-attention

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....

unet icon unet

unet for image segmentation

videoseg icon videoseg

[CVPR 2017] Video motion segmentation and tracking

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