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Last pushed: a year ago
Short Description
Base Tesseract server for OCR processing
Full Description

Supported tags and respective Dockerfile links

Tesseract

This project creates a base tesseract server for OCR processing. The server contains ImageMagic for image pre-processing and pytesseract for python integration.

Processing

To build the server first make sure you have a proper docker engine running and your environment is configured

$ docker-machine ls
NAME      ACTIVE   DRIVER       STATE     URL                         
default   -        virtualbox   Running   tcp://138.91.253.232:2376

$ docker-machine env default 
$ eval $(docker-machine env default)                            

Next use the following commands to build and test locally

$ docker build -t tesseract .
$ docker run -i -v `pwd`/data:/data -t tesseract bash

Note: the -v `pwd`/data:/data mounts a locally drive which is not neccasary to test as we have loaded a couple of test files when we created the image.

To test:

# tesseract -v
tesseract 3.04.01
leptonica-1.73 libjpeg 8d (libjpeg-turbo 1.3.0)...
# tesseract /data/test2.png stdout
the (quick) [brown] {fox} jumps!
Over the $43,456.78 <lazy> #90 dog
& duck/goose, as 12.5% of E-mail
. . . 

# python
>>> Import pyterresact
>>> exit()

If Import pytesseract command returns with no errors this means the library was able to load ans is available for use.

Publish

Once you have a good server we can publish it to dockerhub

$ docker tag 'tesseract' 'dphiggs01/tesseract:1.0'
$ docker tag 'tesseract' 'dphiggs01/tesseract:newest'
$ docker login -u dphiggs01 -p *********
$ docker push 'dphiggs01/tesseract:1.0'
$ docker push 'dphiggs01/tesseract:newest'

Note: replace dphiggs01 with an appropriate user name.

Docker Pull Command
Owner
dphiggs01