317 Open source projects that are alternatives of or similar to Joint Face Detection And Alignment

MTCNN with Motion Detection, on Raspberry Pi with Love

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

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

全平台实时人脸检测和姿态估计，提供无需任何框架实现Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS

face detection and alignment with mtcnn

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

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

🏭 Collaboratively build, visualize, and design neural nets in browser

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

Convert Darknet model to Caffe's

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

An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).

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

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

CORe50: a new Dataset and Benchmark for Continual Learning

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

Real Time Face Recognition Detector. Over 30FPS on CPU!

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

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.

faster-rcnn c++ python model

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

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

Caffe to VHDL

TensorRT Net Wrapper

Active Convolution

MobileNet-v2 experimental network description for caffe

Training Toolbox for Caffe

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

Reference caffe implementation of LSUV initialization

A deep convolutional neural network system for live emotion detection

Transform the caffe model to pytorch model for Temporal Segment Network

Paperspace API for python

It is a mtcnn project based on ncnn

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

Add-on package for ONNX format support in Chainer

Head Pose Estimator on Caffe

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

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.

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

convert model from mxnet to caffe without lossing precision

MobilNet-SSD object detection in opencv 3.4.1

Convert a matcaffe model (column major) to a pycaffe or c++ caffe (row major) model

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

A collection of Audio and Speech pre-trained models.

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

A Computation Graph Virtual Machine Based Deep Learning Framework

VGG 19 Layers Deep Network

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。

A caffe implementation of MobileNet-YOLO detection network

TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

《深度学习与计算机视觉》配套代码

A framework for creating and using a Face Recognition system.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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