I use DOCUMENT_TEXT_DETECTION
, but in the answer I get the hieroglyphics.
If I use Eng
in the ImageContext
parameter for the addAllLanguageHints
method, then I have 111 in result. Better, but still bad.
Is there any way to indicate that the numbers are recognised or somehow improve the results?
Also, how is the setRepeatedField
option in ImageContext
is used? I could not find any examples of its use.
Thanks in advance.
Even if it doesn't work out of the box ... you'd need is to classify images using custom labels, when the default labels won't suffice. Cloud Auto ML Vision (select Vision from that blue drop-down menu) let's you train custom models, which can be used to recognize that font. And since the possible amount of shapes is quite limited with that 7-segment display, it shouldn't be too difficult to train it. If you'd get a calculator with a better display, it might also work better. The LCD above looks a little cheap, with those huge spaces and cut-off endings - but nevertheless, one can train it to read that.
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