419 Open source projects that are alternatives of or similar to Video Caffe

Weakly Supervised Action Recognition and Detection

Generic PyTorch Dataset Implementation for Loading, Preprocessing and Augmenting Video Datasets

Human Fall Detection from CCTV camera feed

Real-World Anomaly Detection in Surveillance Videos

Kaggle dogs vs cats solution in Caffe

Paperspace API for python

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Dynamic Image Networks for Action Recognition

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

pytorch 2 caffe

《深度学习与计算机视觉》配套代码

TensorFlow code for finetuning I3D model on UCF101.

Activity Recognition from 2D pose using an LSTM RNN

Caffe Implementation of Google's MobileNets (v1 and v2)

一些关于机器学习的学习资料与研究介绍

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

This repo allocate DAPs code of our ECCV 2016 publication

SeqFace : Making full use of sequence information for face recognition

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

React Native wrapper for the Activity Recognition API.

🍴 Annotations for the EPIC KITCHENS-55 Dataset.

EPIC-KITCHENS-55 baselines for Action Recognition

A caffe implementation of mobilenet's depthwise convolution layer.

Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition

keras implementation of inflated 3d from Quo Vardis paper + weights

MobilNet-SSD object detection in opencv 3.4.1

A Caffe Re-Implementation of SENet

A collection of Audio and Speech pre-trained models.

Deep Learning Benchmarking Suite

AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。

Fine-grained classification via second order statistics in a compact end-to-end trainable model

Caffe to VHDL

Tools for movie and video research

Active Convolution

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity

ResGCN: an efficient baseline for skeleton-based human action recognition.

Explore Action Recognition

Detects Chinese traffic police commanding poses 检测中国交警指挥手势

Data-parallel image stylization using Caffe.

A deep convolutional neural network system for live emotion detection

The NNEF Tools repository contains tools to generate and consume NNEF documents

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!

train resnet on imagenet from scratch with caffe

Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

code for py-R-FCN-multiGPU maintained by bupt-priv

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

convert model from mxnet to caffe without lossing precision

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

faster-rcnn c++ python model