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 11 years ago
Alternatives and similar repositories for vatic
Users that are interested in vatic are comparing it to the libraries listed below
Sorting:
- Demo code for "Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose", CVPR 2017☆81Updated 8 years ago
- Fast and accurate 3D hand pose estimation from single depth images☆62Updated 8 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
- Evaluation code for human pose estimation includes strict PCP, PDJ, and PCK.☆38Updated 8 years ago
- 2D human pose regression☆73Updated 5 years ago
- Training code for "Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose", CVPR 2017☆117Updated 8 years ago
- Pytorch implementation of FlowTrack (Simple Baselines for Human Pose Estimation and Tracking).☆74Updated 6 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
- Code and models of paper " Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection"…☆27Updated 7 years ago
- Code for "Harvesting Multiple Views for Marker-less 3D Human Pose Annotations", CVPR 2017☆49Updated 8 years ago
- RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.☆97Updated 7 years ago
- ☆65Updated 8 years ago
- ☆165Updated 7 years ago
- Learning Human Optical Flow☆65Updated 6 years ago
- Toolkit for the VLOG dataset☆37Updated 7 years ago
- Training code for the SPPE and SSTN of our RMPE framework☆30Updated 8 years ago
- ☆97Updated 7 years ago
- ☆78Updated last year
- Iterative Error Feedback☆57Updated 8 years ago
- 3D HourGlass Networks for Human Pose Estimation Through Videos☆56Updated 6 years ago
- Penn Action Dataset, with human body joints for all frames!☆51Updated 3 years ago
- Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)☆172Updated 3 years ago
- Simple Baselines for Human Pose Estimation and Tracking☆77Updated 7 years ago
- Diagnostic tools and additional visualizations from "What Actions are Needed for Understanding Human Actions in Videos?" ICCV 2017☆88Updated 7 years ago
- Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)☆84Updated 7 years ago
- Improved Dense Trajectory features encoded by Fisher Vectors☆25Updated 7 years ago
- Im2Flow: Motion Hallucination from Static Images for Action Recognition (CVPR 2018)☆55Updated 6 years ago
- Code for our CVPR17 paper on "Video Propagation Networks"☆90Updated 7 years ago
- Pytorch implementation of Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation (ECCV'18)☆80Updated 6 years ago