image search based on elastic search, image-match and deep learning
Algorithm: Use VGG_16 model to extract global feature of image, deep learning model is implemented by Keras. (theano backend) The distance metric is based on cosine_distance. Search Engine: Elastic search
This project is modified from image-match. The VGG_16 model can be get from this. A plugin is needed for ElasticSearch vector scoring, from here
Dependence: basic package: numpy, scipy, skimage keras/theano elasticsearch