Skip to content

AD2605/Action-Recognition

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Description

The aim of this project is to dive into the field of action recognition and explore various techniques. Till now 2 models have been implemented
1 - The model.py is a pytorch implementation of the paper - A Closer Look at Spatiotemporal Convolutions for Action Recognition Link to the paper is - https://arxiv.org/abs/1711.11248v3

2 - A pytorch implementation of MobileNets for less computational Models. Consult the paper - MobileNetV2: Inverted Residuals and Linear Bottlenecks - https://arxiv.org/abs/1801.04381v4

Dependencies

1 - Opencv to load and resize videos and
2 - For mixed precision training and fp16 conversions Apex library is used. For installation and more info see https://github.com/NVIDIA/apex.

To Do

1 - Implement attention and compare the performance.
2 - Visualize where the model focuses

About

An implementation of R2plus1D and 3DMobileNets in pytorch for Action Classification

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages