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

Easily Arrange Images with Patchwork Alongside ggplot2 Figures.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A Interface Builder configurable UIButton with a image icon

Combine Baidu Research warpctc with Caffe

Deep Developmental Reinforcement Learning

Keras version of Realtime Multi-Person Pose Estimation project

Python REST API to detect images with adult content

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

Source code for 1st winner of face micro-emotion competition, FG 2017.

CORe50: a new Dataset and Benchmark for Continual Learning

Aligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.

Joint Detection and Identification Feature Learning for Person Search

Surveillance System Against Violence

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

Colorify - C# .Net Console Library with Text Format: colors, alignment and lot more [ Win+Mac+Linux ]

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Bioinformatics toolkits for manipulating sequence, alignment, and phylogenetic tree files

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

FluentDNA allows you to browse sequence data of any size using a zooming visualization similar to Google Maps. You can use FluentDNA as a standalone program or as a python module for your own bioinformatics projects.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

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.

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Largest list of models for Core ML (for iOS 11+)

yolov5 onnx caffe

Add-on package for ONNX format support in Chainer

Aligns short reads using dynamic seed size with strobemers

Automagically synchronize subtitles with video.

install script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)

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

Implement popular models by different DL framework. Such as tensorflow and caffe

Porting caffe to android platform

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

vehicle image retrieval using k CNNs ensemble method

[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

An open-source food image embedding model

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

No description or website provided.

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

The Modular Aligner and The Modular SV Caller

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

Caffe Wide-Residual-Network (WRN) Generator

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

MTCNN implement by tensorflow. Easy to training and testing.

Noise-Tolerant Paradigm for Training Face Recognition CNNs

The code for preparing the training data for crowd counting / segmentation algorithm.

A-Fast-RCNN (CVPR 2017)

crnn.caffe

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

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

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):

A Caffe Re-Implementation of SENet

MobileNet-v2 experimental network description for caffe

Setup and customize deep learning environment in seconds.

CNN model inference benchmarks for some popular deep learning frameworks