95vidhi Goto Github PK
Type: User
Type: User
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
Feature Extraction on pre-trained networks - VGG, GoogLeNet, and ResNet on Cifar10 and German Traffic Sign datasets to classify images.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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: Fully Convolutional Localization Networks for Dense Captioning' replicate study with `tensorflow`
An example of extracting image features from VGG network on Caffe
Using keras to extract features for a set of images from the Inception model.
This package contains a set of function to compute the gradient singular value decomposition image quality assessment measure
Tensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
Tensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
Implementation of CVPR2017 paper "A Hierarchical Approach for Generating Descriptive Image Paragraphs" in Tensorflow (in progress...)
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
Deep Learning for humans
"NASNet" models in Keras 2.0+ with weights
A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.
A nasnet in tensorflow
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
This is a MATLAB implementation of Sazzad et al.'s paper "No reference image quality assessment for JPEG2000 based on spatial features".
This repo contains tutorials on OpenCV-Python library using new cv2 interface
Image feature extraction in Keras.
ResNet50 image feature extraction and label prediction with docker
A demo of feature extraction techniques, implementing SURF & SIFT image features
Image Processing SciKit (Toolbox for SciPy)
Image Quality Assessment of Sharpness
image feature extraction code for http://arxiv.org/abs/1702.01117
VGG image feature extraction and label prediction with docker
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.