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3d-resnets-pytorch

3D ResNets for Action Recognition

ac-mhi

Activity Classification using Motion History Images

action-recognition

recognize actions from videos using machine learning classifier(s) and suitable features. You will use UCF sports action data set here http://crcv.ucf.edu/data/ucf_sports_actions.zip. UCF Sports dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and ESPN. The video sequences were obtained from a wide range of stock footage websites including BBC Motion gallery and GettyImages. The dataset includes a total of 150 sequences with the resolution of 720 x 480. The collection represents a natural pool of actions featured in a wide range of scenes and viewpoints. By releasing the data set we hope to encourage further research into this class of action recognition in unconstrained environments. Since its introduction, the dataset has been used for numerous applications such as: action recognition, action localization, and saliency detection. The dataset includes the following 10 actions. The figure above shows the a sample frame of all ten actions, along with their bounding box annotations of the humans shown in yellow.

action-recognition-using-deep-residual-networks

Video Action Recognition using RESNET pretrained on Imagenet for UCF 101 dataset

actrectut

MATLAB Human Activity Recognition Toolbox

alexnet_with_tensorflow

an implement of AlexNet with tensorflow, which has a detailed explanation.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

background-substraction-using-gmm

Implementation of Background Substraction using Gaussian mixture model and using OpenCV library.

body_poses

This Program helps to identify 9 different human body poses with a frame rate of upto 15 frames per second on a i-5 4110 CPU.

caffe

Caffe: a fast open framework for deep learning.

cnn-3d-images-tensorflow

3D image classification using CNN (Convolutional Neural Network)

cnn-project

Project for CS 231N

continuous-online-video-classification-blog

Code that accompanies a blog posts on continuous online video classification with TensorFlow, Inception and a Raspberry Pi

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

cs221_project

Activity Recognition in Videos using UCF101 dataset

cs231_project

Activity Recognition in Temporally Untrimmed Videos

darwintree

Framework for action/activity recognition on videos (computer vision research work)

datasciencepython

common data analysis and machine learning tasks using python

deep-anpr

Using neural networks to build an automatic number plate recognition system

deep-learning-activity-recognition

A tutorial for using deep learning for activity recognition

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

how_to_make_a_tensorflow_image_classifier_live

human-activity-recognition

Recognizing human activities using Deep Learning

human-detection-and-tracking

Human-detection-and-Tracking

image-classification-template

Build a deep learning model for classifying dog breeds from their images