367 Open source projects that are alternatives of or similar to Mtcnn Accelerate Onet

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

face detection and alignment with mtcnn

Convert SNPs in VCF format to PHYLIP, NEXUS, binary NEXUS, or FASTA alignments for phylogenetic analysis

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

AI on Hadoop

Caffe for YOLOv2 & YOLO9000

Deep Learning Benchmarking Suite

Automatically synchronize subtitles to audiovisual content with a pretrained deep neural network and forced alignments. https://subaligner.readthedocs.io/

Data-parallel image stylization using Caffe.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

Deformable Convolutional Networks on caffe

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Reimplementation ResNet on cifar10 with caffe

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

php wrapper for opencv

SortMeRNA: next-generation sequence filtering and alignment tool

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

train resnet on imagenet from scratch with caffe

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Trajectory-pooled Deep-Convolutional Descriptors

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

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.

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

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

Noise-Tolerant Paradigm for Training Face Recognition CNNs

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

Convert darknet weights to caffemodel

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

SeqFace : Making full use of sequence information for face recognition

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

Trojan Attack on Neural Network

Use caffe to train your own data in just one click

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

A set of useful functions for transforming strings.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Code repo for "Spatio-Temporal Filter Adaptive Network for Video Deblurring" (ICCV'19)

pytorch 2 caffe

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Data Augmentation for Caffe

Kaggle dogs vs cats solution in Caffe

A caffe implementation of mobilenet's depthwise convolution layer.

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

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

[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.

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

A curated list of awesome resources for image alignment and stitching ...

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

Reference caffe implementation of LSUV initialization

Real-World Anomaly Detection in Surveillance Videos

Auto-ReID and Other Person Re-Identification Projects

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):