There are 3 repositories under c3d topic.
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
Video Platform for Action Recognition and Object Detection in Pytorch
Real-World Anomaly Detection in Surveillance Videos
C3D for Keras + TensorFlow
Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
A one stop shop for all of your activity recognition needs.
A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"
Violence Detection using 3D Convolutional Neural Networks
My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Information of public available data sets for biomechanics.
Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
An Online Web Game "You Perform, I Guess!" based on C3D Model
Extract and visualize gait data
C3D-LSTM implementation in PyTorch [WACV 2019]
Action recognition with C3D network implemented in tensorflow
Action recognition.基于C3D的视频动作识别
Blender addon for importing .c3d files.
动作识别(Action Recognition)常见模型的Pytorch实现
Python implementation of extraction of several visual features representations from videos
Hand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation implemented in Python
Official Implementation of "Vision-based Behavioral Recognition of Novelty Preference in Pigs"
Train the C3D network with my own data set. Video or gif can be supported as a training file. Video streams or image frames can be used as input for detection.
Entertaining and Training your dog while you are away.
Python interface of C3Dserver software for reading and editing C3D motion capture files
Contains code for C3D, LCN and TSM for action recognition models.
An example of how to adapt the C3D CNN for another problem. Really a fork of https://github.com/axon-research/c3d-keras