Background Subtraction applied to Object Recognition
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Updated
Dec 30, 2014 - Python
Background Subtraction applied to Object Recognition
A deep convolutional neural network system for live emotion detection
Custom convolutional neural network on cifar-10 dataset for image classification. Images and their labels are processed to HDF5 data format for use in Caffe.
Faster R-CNN for Salient Object Detection.
Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
Board localization and piece recognition
Code base for Kaggle challenge: Yelp Restaurant Photo Classification
Tools to convert Caffe models to neon's serialization format
This repository for SW_Maestro_ 7th 3th Assignment.
ROS package for getting output from pre-trained caffe models on NVIDIA Digits.
An online GUI tool used to visualize prototxt and generate prototxt for caffe (current version).
Creates train and test input files for the Caffe Deep Learning Framework
Visualization and initialization tools for caffe (and pycaffe)
The SimNets Architecture's Implementation in Caffe
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
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