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dense_flow

OpenCV Implementation of different optical flow algorithms

dense_opticalflow_and_cnn_based_motion_segmentation_and_object_recognition

Farneback flow algorithm to segment motion and classify the ROI using CNN - Caffe model

denseflow_gpu

using GPU to extract videos' dense optical flow fields

dgd_person_reid

Domain Guided Dropout for Person Re-identification

dilation

Dilated Convolution for Semantic Image Segmentation

django-menu

Simple Django website navigation system

django-personal-website

Template for making a personal website using django. Includes set up of a home page and publications page. Instructions given on how to create additional pages and how to serve it from Amazon.

django_facebook_oauth

pluggable app to enable new facebook oauth (Graph API) in your website

dl-setup

Instructions for setting up the software on your deep learning machine

dtf_fisher

Improved Dense Trajectory features encoded by Fisher Vectors

fb-caffe-exts

Some handy utility libraries and tools for the Caffe deep learning framework.

fbnn

Facebook's extensions to torch/nn.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

feature-extraction-with-caffe

Machine learning with features extracted from convolutional neural networks

filmstrip

Filmstrip is an OpenCV/Python based set of scripts for extracting keyframes from video.

free-programming-books

:books: Freely available programming books

genproto

An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).

gitim

Clone all of your Github repositories, just single command from your terminal.

gkmeans

kmeans implementation

gpod

GPOD - General Purpose Object Detector in Python

gpu_flow

GPU based optical flow extraction in OpenCV

health-vocabulary-rest-api

HaVoc a simple REST API to quickly build smart health apps powered by health/biomedical vocabularies.

hmdb51activity

idt

improved dense trajectories

im2latex-tensorflow

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

image_captioning

Image Captioning with Deep Bidirectional LSTMs

imagecaptioning

Deep Learning Course, 2016

improved_traj_cuda

GPU implementation of improved dense trajectory

improved_trajectory

Improved trajectories for action recognition

ionic-material

Seamless Material Design theme for Ionic