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tanxchong's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-model icon caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

cmvs-pmvs icon cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

dfusmc icon dfusmc

Depth from Uncalibrated Small Motion Clip

dropblock icon dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

fast-match icon fast-match

Port of Fast Affine Template Matching algorithm

intrinsic icon intrinsic

Code for Bell et al, "Intrinsic Images in the Wild", SIGGRAPH 2014.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

lstmvis icon lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

mobilenet-ssd icon mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

pspnet icon pspnet

Repository of paper https://arxiv.org/abs/1612.01105

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

r-fcn icon r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

t-cnn icon t-cnn

ImageNet 2015 Object Detection from Video (VID)

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