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

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

TensorFlow code for finetuning I3D model on UCF101.

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Generate a quantization parameter file for ncnn framework int8 inference

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

基于kinect 的人体 动作识别

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Activity Recognition from 2D pose using an LSTM RNN

Reference caffe implementation of LSUV initialization

collection of utilities to use with deep learning libraries (e.g. caffe)

ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition

A Deep Learning Framework customized for Sunway TaihuLight

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Multiple ColorChecker Detection. This code implements a multiple colorChecker detection method, as described in the paper Fast and Robust Multiple ColorChecker Detection.

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

A small tool to dump Caffe's *.caffemodel to JSON for inspection

Multi-object trackers in Python

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

一些关于机器学习的学习资料与研究介绍

Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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 result…

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

This is a fast caffe implementation of ShuffleNet.

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

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

A real-time object detection framework of Yolov3/v4 based on caffe

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

This repo allocate DAPs code of our ECCV 2016 publication

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Mxnet2Caffe_Tensor RT

SeqFace : Making full use of sequence information for face recognition

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过

Deep Learning GPU Training System

🎯 保姆级深度学习从入门到放弃 🤪 🤪

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Action recognition with C3D network implemented in tensorflow

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

Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

load caffe prototxt and weights directly in pytorch

Re-implementation of tripletloss function in FaceNet

React Native wrapper for the Activity Recognition API.

Semantically consistent regularizer for zero-shot learning

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Two-stream CNNs for video action recognition implemented in Keras

🍴 Annotations for the EPIC KITCHENS-55 Dataset.

Deep learning tutorial

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Caffe Implementation of MobileNets V3

Deep networks for Earth Observation

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Caffe for YOLOv2 & YOLO9000

This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

Temporal 3D ConvNet