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Add a way to set "Init Only" parameters (user_word_suffix, etc.) #613

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clnoel opened this issue May 16, 2022 · 3 comments
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Add a way to set "Init Only" parameters (user_word_suffix, etc.) #613

clnoel opened this issue May 16, 2022 · 3 comments

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@clnoel
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clnoel commented May 16, 2022

I would like to use the command-line parameters "user_word_suffix", "load_freq_dawg", and "load_system_dawg". After sorting through a lot of documentation, and looking through a lot of code, I realized that these are "init only" parameters. In the TessBaseAPI code, they need to be passed to Init(), either as a set of keys/values or in a config file. Setting the parameters after initialization doesn't work because the traineddata files have already been read and the dictionaries formed.

Suggested fix:
Add a config filename optional parameter (string) to worker.Initialize(...) that gets passed to api.Init(...).

Other fixes:
Add a worker.SetInitParameters() function, just like worker.SetParameters(), that must be called before worker.Initialize, and pass those keys/values to api.Init().
Add a "initParams" optional parameter to worker.Initialize, which contains key/value pairs that get passed to api.Init

I'm suggesting the config file option because it feels like the least work to get the desired result.

@Balearica
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I looked it up, and it seems like the init-only parameters are few in number and relatively fringe (notably disabling various dictionaries). However, I agree that it would be nice to have some way for advanced users to specify a config file (like is possible on desktop). I will look into whether this can be easily added in a future release.

@Balearica
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This feature has been added to the dev/v4 branch, and will be released with version 4. If you would like to test before then, instructions are in #662.

To easily verify that these options are indeed being set, I am attaching a test image with significantly different results for the legacy model (oem: "0") depending on whether load_number_dawg is enabled.

number_test2

Results with load_number_dawg: "1"

1823747 72460000
271.83 1223.00
3164675.10 1512895284

Results with load_number_dawg: "0"

18237.47 724600.00
271.83 1223.00
3164675.10 15128952.84

Balearica added a commit that referenced this issue Nov 25, 2022
See #662 for explanation of Tesseract.js Version 4 changes.  List below is auto-generated from commits. 

* Added image preprocessing functions (rotate + save images)

* Updated createWorker to be async

* Reworked createWorker to be async and throw errors per #654

* Reworked createWorker to be async and throw errors per #654

* Edited detect to return null when detection fails rather than throwing error per #526

* Updated types per #606 and #580 (#663) (#664)

* Removed unused files

* Added savePDF option to recognize per #488; cleaned up code for linter

* Updated download-pdf example for node to use new savePDF option

* Added OutputFormats option/interface for setting output

* Allowed for Tesseract parameters to be set through recognition options per #665

* Updated docs

* Edited loadLanguage to no longer overwrite cache with data from cache per #666

* Added interface for setting 'init only' options per #613

* Wrapped caching in try block per #609

* Fixed unit tests

* Updated setImage to resolve memory leak per #678

* Added debug output option per #681

* Fixed bug with saving images per #588

* Updated examples

* Updated readme and Tesseract.js-core version
@Balearica
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Closing as this was added in Version 4.

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