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brisque

This is the blind image quality assessment program I am looking at. Looking at this study: http://live.ece.utexas.edu/publications/2012/TIP%20BRISQUE.pdf it seems that BRISQUE is competetive with other similar algorithms

carnd_term1-transfer_learning

Feature Extraction on pre-trained networks - VGG, GoogLeNet, and ResNet on Cifar10 and German Traffic Sign datasets to classify images.

cv

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

densecap-tensorflow

Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after 500k iters of training)

densecap-tensorflow-1

'DenseCap: Fully Convolutional Localization Networks for Dense Captioning' replicate study with `tensorflow`

densecap-tensorflow-2

feature-extraction

An example of extracting image features from VGG network on Caffe

featureextraction

Using keras to extract features for a set of images from the Inception model.

gsvd

This package contains a set of function to compute the gradient singular value decomposition image quality assessment measure

im2p

Tensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

im2p-1

Tensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

im2p-tensorflow

Implementation of CVPR2017 paper "A Hierarchical Approach for Generating Descriptive Image Paragraphs" in Tensorflow (in progress...)

image-features-extraction

image-quality-assessment

image-similarity-deep-learning

Finding similar images from a set of images by first feature extraction using pre trained VGG16 Convolutional Neural Network and then using cosine similarity for each pair

keras

Deep Learning for humans

keras-nasnet

"NASNet" models in Keras 2.0+ with weights

lyssandra

A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.

nasnet-tensorflow

A nasnet in tensorflow

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

noreference-image-quality-assessment-for-jpeg2000

This is a MATLAB implementation of Sazzad et al.'s paper "No reference image quality assessment for JPEG2000 based on spatial features".

opencv2-python-tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

pyfx

Image feature extraction in Keras.

resnet_50_docker

ResNet50 image feature extraction and label prediction with docker

retbul-core

A demo of feature extraction techniques, implementing SURF & SIFT image features

scikit-image

Image Processing SciKit (Toolbox for SciPy)

sharpness

Image Quality Assessment of Sharpness

uhcs

image feature extraction code for http://arxiv.org/abs/1702.01117

vgg_docker

VGG image feature extraction and label prediction with docker