Django app for OCR and translation
Project description
OCR_translate
This is a Django app for creating back-end server aimed at performing OCR and translation of images received via a POST request.
The OCR and translation is performed using freely available machine learning models and packages (see below for what is currently implemented).
The server is designed to be used together with this browser extension, acting as a front-end providing the images and controlling the languages, models and plugins being used.
For more information, please consult the Full Documentation
Running the server
See the documentation for more information.
TLDR: If you are on windows you will need to:
- install python with the check on
Add python.exe to PATH
- download>unzip the release file
- run the
run-user.bat
file
Why do I need to install python
Before version v0.6.0
the server was distributed by including all possible plugins and their dependencies.
This made the distribution file (both the github release and docker image) quite large and the release process cumbersome.
Furthermore, not every user might be interested in every plugin and might end up downloading GB of files that they will never use.
For this reason a plugin_manager has been added to the project that will download/install the plugins and their dependencies on demand.
Installing python packages requires pip
to be available (which is included with python on the windows installer).
Unfortunately I have not found a way to include pip reliably in the frozen install produced for the release file.
The alternative would've been to add a 2nd installer just to get pip
before running the server, but why reinvent the wheel.
The check on Add python.exe to PATH
is needed so that pip
can be run without having to make any assumption on the installation path.
Also since I am now asking people to install python, I decided to go all the way and use an approach similar to what automatic1111's webui.bat does for stable diffusion.
This batch script will create/reuse a virtual environment in a folder venv
in the same directory as the script and install the required packages in it.
Contributing
- Suggestions/Ideas are always welcome and can be posted as discussions.
You can also just propose a new model to be tested/added to the ones available by default. - Bugs can be reported as issues
- Code contributions as pull requests. Check the documentation for more information.
Plugins
The server is designed to only offer the basic functionalities, while the models that can be used and how they are used are defined by plugins.
See the documentation for a list of available plugins
Notes
- When switching the server between CPU/CUDA mode for the first time, run the installation of the plugins again to make sure the scope-specific dependencies are installed.
Possible problems
-
Issue 25 Using uBlock origin (or possibly other extension capable of blocking content) could stop the extension from sending requests to the server. This can be recognized if the popup for setting the language and models works fine but than the translations fails without producing any new log in the server windows. (WIP long term fix in the extension)
-
Issue 27 Having non latin characters in the model's path can cause HuggingFace
transformers
to fail loading them
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for django_ocr_translate-0.6.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c7184b86e44f79ffce107f33879dcd65800356edeab2a77b54fbb39e92243bd5 |
|
MD5 | 0cd9bab61d8126218be6829aa52fe896 |
|
BLAKE2b-256 | 16b85a9b86c4a4e7d7b49273d513454850037358763b2580352e9b42b1483775 |
Hashes for django_ocr_translate-0.6.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f9c695eefcd7801e407592de6254a9cf2e072ca96be5dcb84e809f79a69fbba |
|
MD5 | f49f12ce8dfabd27ca409f9b902bc26a |
|
BLAKE2b-256 | 421091c9e97982f6c837cd521997f1c282ef303c93e654abdad789958f9f637a |