Awesome
docker-ocropy
ocropy in a Docker container.
This is a simple way of getting an ocropy OCR system installed.
Run it
For convenience, this repo comes bundled with a shell script run-ocropy:
> ./run-ocropy --help
./run-ocropy [--help] [--sudo] [--image <image-name>] [--working-dir <working-dir>] <cmd> [args...]
--sudo Run as sudo
--image <image-name> Use this image (Default: kbai/ocropy)
--working-dir <working-dir> Mount this dir (Default: $PWD)
<cmd> Execute this ocropy-<cmd> command
[args...] Depend on the command. See ocropy docs.
Commands: dewarp econf errs gpageseg gtedit hocr linegen lpred ltrain nlbin rpred rtrain results
Run with docker command
You can run ocropy from the command line:
docker run -v `pwd`:/work kbai/ocropy /ocropy/ocropus-rpred *.png
This will:
- Download the docker-ocropy container from Docker Hub
- Mount <code>
pwd
</code> to the/work
directory within the docker - Execute
/ocropus/ocropy/ocropus-rpred
from within the container - On all PNG images in the current dir (
pwd
) on this computer and hence/work
in the container
See the Docker documentation to see how you need to use the -v flag and other flags.
You can also do training and all the other operations you'd normally run with an ocropy installation.
Models
By default, docker-ocropy ships with the models
ocropy/en-default and
ocropy/fraktur. These are found in
/ocropy/models
, i.e. use
docker run --rm -it kbai/ocropy ocropus-rpred -m en-default.pyrnn.gz ...
# or
docker run --rm -it kbai/ocropy ocropus-rpred -m /ocropy/models/en-default.pyrnn.gz ...
Train it
Use the ocrotrain.sh
script to see how to train the engine:
docker run -v "$PWD:/work" kbai/ocropy ./ocrotrain.sh
This will download the uw3-100 dataset dataset
and run ocropus-rtrain
on it.
Build it
If you want to adapt the Dockerfile and rebuild the image, you can do so with
docker build [-t '<username>/<reponame>'] .
While optional for local use, choosing a username/reponame
combo makes it easier to manage