Select your Docker Machine Virtual Box image.You need to add port forwarding rules in your Virtual Box default machine. If you are using an older version, say, 'Docker toolbox' instead of the newer 'Docker for Mac',."sentence": "a baseball player swinging a bat on a field" "sentence": "a baseball player swinging a bat at a ball. "sentence": "a baseball player swinging a bat at a ball" Once it is done, test the setup by visiting in your web browser. 3docker run -p 8764:8764 -it uscdatascience/im2txt-rest-tika Toggle line numbers 1git clone & cd tika-dockers 2docker build -f Im2txtRestDockerfile -t uscdatascience/im2txt-rest-tika. You can either start the REST server in an isolated docker container or natively on the host that runs tensorflow v1.0
All the dependencies and setup complexities are isolated in the docker image.ĭocker - Visit and install latest version of Docker. We are going to start a python flask based REST API server and tell tika to connect to it.
Tika and Tensorflow Image Captioning Using REST Server Continue reading to get Tika up and running for image captioning. This paper presents a generative model based on a deep recurrent architecture that combines recent advances in computer vision and machine translation that can be used to generate natural sentences describing an image. Currently, Tika utilizes an implementation based on the paper Show and Tell: A Neural Image Caption Generator for captioning images. Visit TIKA-2262 issue on Jira or pull request on Github to see the related conversations. TIKA-2262 introduced a new parser to perform captioning on images. "Image captioning" or "describing the content of an image" is a fundamental problem in artificial intelligence that connects computer vision and natural language processing. This page describes how to use the Image Captioning capability of Apache Tika. Tika and Computer Vision - Image Captioning
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