antran89/video_segment
Main repository for The Video Segmentation Project
Discovered public repositories for antran89 in the GitHub catalog.
Main repository for The Video Segmentation Project
Repository for OpenCV's extra modules
UCF Sports annotations: This repository provides human bounding box annotations of UCF Sports dataset and a function to read these annotations.
Homepage of An Tran
MPEG flow
BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/
Public repository.
scikit-learn: machine learning in Python
Matlab Mat file read and write C++ class with OpenCV bindings. Matlab is used a lot in computer vision, and people often share Matlab code or data in Mat-file storage. This small project gives OpenCV users the ability to read and write Mat files natively in C++
C++ Matlab MEX development kit.
Commonly used 3rd party source code for Matlab - sometimes with some minor fixes
An extension to original vatic tools for human action labeling. vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.
herve jegou's yael library
Public repository.
machine learning library
Machine learning library
A Machine Learning library based on Theano
convert Olympic Sports dataset into avi file, split them into train and test folder
AI Challenge
Set of tools for monitoring a submission directory and forking processes to handle whenever submissions arrive.
Framework for the upcoming course on the Google AI Challenge (Ants).
A fast, numerically equivalent version of poselets. Speedup of ~3.5x, bare essential code only.
Multimodal Decomposable Model for Human Pose Estimation
code for Benjamin Sapp, David Weiss and Ben Taskar. "Parsing Human Motion with Stretchable Models". CVPR. June 2011.
Public repository.
Segmentation Cascades with Localized Priors and Efficient Learning
Unsupervised Discovery of Mid-Level Discriminative Patches
Ensemble of Exemplar-SVMs for Object Detection and Beyond