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hydra-nwpu

hyperface-with-squeezenet

Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hyperface.py concatenates feature maps from initial, mid and final layers of the network and then branches out to different heads. multiout.py branches from the final layer of the network to different heads. DataGen2.py is the Data Generator used for reading multiple labels from json files. It is a modified version of Keras's default Data Generator. The idea is based on the following paper - [1] R. Ranjan, V. M. Patel, and R. Chellappa. Hyperface: A deep multitask learning framework for face detection, landmark localization, pose estimation, and gender recognition. CoRR, abs/1603.01249, 2016. The implementation is slightly different. The original HyperFace architecture is built on top of AlexNet while the implementation here uses another architecture called SqueezeNet.

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

i2cdevlib

I2C device library collection for AVR/Arduino or other C++-based MCUs

ib-cnn

Incremental Boosting Convolutional Neural Networks

id-card_with_tensorflow_opencv_in_android

ID-Card_with_TensorFlow_Opencv_in_Android

idcardocr

第二代居民身份证信息识别

image-moments-in-python

This script implements a function that calculates the raw, centered and normalized moments similar to OpenCV for any image passed as a numpy array.

image-outpainting

Keras Implementation of Painting outside the box

image-super-resolution

Implementation of Super Resolution CNN in Keras.

image_augmentation

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

image_classifier

This is a neural network starter for fine-tuning InceptionV3 model with Keras, TensorFlow and your own data to answer to image classification/recognition needs. It's ready to run on your own dataset without any modifications after installing dependencies. Lastly, you can easily customize the training constants to be coherent with your dataset/computer in top of each script.

image_keras

Building an image classifier using keras

imagematching

Face Detection,Template Matching , SURF , SIFT to detect features and keypoints in images .

imagerecognition-numberplatedetection

Uses KNN classification (Machine Learning) to detect Number plates.

imdb-lstm-tutorial

In this tutorial I use an LSTM and Keras/Theano to predict sentiment on the IMDB dataset.

imgaug

Image augmentation for machine learning experiments.

implementation-cvpr2015-cnn-for-reid

Implementation for CVPR 2015 Paper: "An Improved Deep Learning Architecture for Person Re-Identification".

in-your-face

Neural networks for facial recognition using Keras and the LFW Face Database.

inarmjha

An intelligent operating system used to control all the smart devices of home and provide security using a door camera and an android application

inc_v3_fer

Facial Expression Recognition using Inception V3 Model in keras

infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

installtensorflowtx2

Install TensorFlow on the NVIDIA Jetson TX2 Development Kit

instruct

intel-movidius-ncs-keras

Runing Keras with Intel Movidius Neural Compute Stick

intel-movidius-ncs-rpi

Image classifier using Intel Movidius Neural Compute Stick with Raspberry Pi and ( Pi Camera or Web Camera)

intelligent-camera

A program that groups security camera images together based on content.

intelligenttrafficcontrol

This project consists in a Traffic signal (semaphore) controlled by an Intel Edison board with a Poky (Embedded Linux) distribution running a python application that detects vehicle/pedestrian movement from 2 USB cameras, determines and controls optimal light signal changes.

internet_of_things_optimization

This is the code for "Internet of Things Optimization" By Siraj Raval on Youtube