hzhang57 / pennaction Goto Github PK
View Code? Open in Web Editor NEWThis project forked from dreamdragon/pennaction
Penn Action Dataset, with human body joints for all frames!
This project forked from dreamdragon/pennaction
Penn Action Dataset, with human body joints for all frames!
============================================================ Penn Action Dataset ============================================================ Penn Action Dataset contains 2326 video sequences of 15 different actions and human joint annotations for each sequence. The dataset is available for download via the following link: https://upenn.box.com/PennAction ------------------------------------------------------------ Reference ------------------------------------------------------------ If you use our dataset, please cite the following paper: Weiyu Zhang, Menglong Zhu and Konstantinos Derpanis, "From Actemes to Action: A Strongly-supervised Representation for Detailed Action Understanding" International Conference on Computer Vision (ICCV). Dec 2013. ------------------------------------------------------------ Dataset Content ------------------------------------------------------------ The dataset is organized in the following format: /frames ( all image sequences ) /0001 000001.jpg 000002.jpg ... /0002 ... /labels ( all annotations ) 0001.mat 0002.mat ... /tools ( visualization scripts ) visualize.m ... The image frames are located in the /frames folder. All frames are in RGB. The resolution of the frames are within the size of 640x480. The annotations are in the /labels folder. The sequence annotations include class label, coarse viewpoint, human body joints (2D locations and visibility), 2D bounding boxes, and training/testing label. Each annotation is a separate MATLAB .mat file under /labels. An example annotation looks as follows in MATLAB: annotation = action: 'tennis_serve' pose: 'back' x: [46x13 double] y: [46x13 double] visibility: [46x13 logical] train: 1 bbox: [46x4 double] dimensions: [272 481 46] nframes: 46 ------------------------------------------------------------ List of Actions ------------------------------------------------------------ baseball_pitch clean_and_jerk pull_ups strumming_guitar baseball_swing golf_swing push_ups tennis_forehand bench_press jumping_jacks sit_ups tennis_serve bowling jump_rope squats ------------------------------------------------------------ Annotation Tools ------------------------------------------------------------ The annotation tool used in creating this dataset is also available. Please refer to http://dreamdragon.github.io/vatic/ for more details. ------------------------------------------------------------ Contact ------------------------------------------------------------ Please direct any questions regarding the dataset to Menglong Zhu <[email protected]> http://cis.upenn.edu/~menglong
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.