ruyi520 Goto Github PK

followers: 2.0 following: 2.0 repos: 19.0 gists: 0.0

Name: 123456

Type: User

123456's Projects

baseline-project-for-megc2020_spotting

The project is the baseline method implementation for the Third Micro-Expression Grand Challenge (MEGC2020)

caffe

Caffe: a fast open framework for deep learning.

crnn-keras

CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

face-mask-detector-using-mobilenetv2

This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Interest (ROI) is 'Mask' or 'No Mask' with real-time on screen accuracy.

facial-micro-expression-recognition-using-stlbp-with-integral-projecti

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

focusing-attention-of-fully-convolutional-neural-networks-on-region-of-interest-roi-input-map-

This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-wise annotation of the ROI region of the image. The method is based on using region selective features This code was tested on for semantic segmentation task of materials in transparent vessels where the vessel area of the image was set as the ROI.