dreamdragon / vaticLinks
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.
☆28Updated 10 years ago
Alternatives and similar repositories for vatic
Users that are interested in vatic are comparing it to the libraries listed below
Sorting:
- Code for "Harvesting Multiple Views for Marker-less 3D Human Pose Annotations", CVPR 2017☆49Updated 7 years ago
- Evaluation code for human pose estimation includes strict PCP, PDJ, and PCK.☆38Updated 8 years ago
- Demo code for "Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose", CVPR 2017☆82Updated 7 years ago
- Disentangling Motion, Foreground and Background Features in Videos☆26Updated 7 years ago
- This is the code for our work "Structured Feature Learning for Pose estimation"☆43Updated 7 years ago
- Improved trajectories for action recognition☆22Updated 9 years ago
- GPU implementation of improved dense trajectory☆10Updated 10 years ago
- Fast and accurate 3D hand pose estimation from single depth images☆62Updated 7 years ago
- 2D human pose regression☆73Updated 5 years ago
- ☆37Updated 8 years ago
- An open source deep learning action recognition and segmentation framework☆50Updated 7 years ago
- Training code for "Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose", CVPR 2017☆117Updated 7 years ago
- Code for the semi-supervised method proposed in our CVPR 2018 paper "Learning Pose Specific Representations by Predicting Different Views…☆60Updated 5 years ago
- Diagnostic tools and additional visualizations from "What Actions are Needed for Understanding Human Actions in Videos?" ICCV 2017☆88Updated 7 years ago
- Actionness Estimation Using Hybrid Fully Convolutional Networks☆30Updated 8 years ago
- Code and models of paper " Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection"…☆27Updated 6 years ago
- ☆65Updated 8 years ago
- Code for "Predictive-Corrective Networks for Action Detection"☆16Updated 7 years ago
- Code for Temporal Relation Networks☆24Updated 7 years ago
- Reconstructing 3D Human Pose from 2D Image Landmarks☆52Updated 12 years ago
- Pytorch implementation of FlowTrack (Simple Baselines for Human Pose Estimation and Tracking).☆74Updated 6 years ago
- source code for Finding Action Tubes, CVPR 2015☆64Updated 8 years ago
- It is an implementation of the method presented by L. Bourdev (paper is available here http://arxiv.org/pdf/1407.0717v1.pdf)☆9Updated 9 years ago
- P-CNN: Pose-based CNN Features for Action Recognition☆52Updated 7 years ago
- Improved Dense Trajectory features encoded by Fisher Vectors☆25Updated 7 years ago
- Xi Peng et al. "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", ECCV 2016. (Oral)☆61Updated 8 years ago
- Iterative Error Feedback☆57Updated 8 years ago
- ☆18Updated 7 years ago
- Toolkit for the VLOG dataset☆37Updated 7 years ago
- This repository implements a demo of the Human pose estimation via Convolutional Part Heatmap Regression paper.☆108Updated 7 years ago