Bug P2
Status Update
No update yet.
Comments
[Deleted User] <[Deleted User]>
I have informed our engineering team of this feature request. There is currently no ETA for its implementation.
A current workaround would be to check the returned "boundingPoly" [1] "vertices" for the returned "textAnnotations". If the calculated rectangle's heights > widths, than your image is sideways.
[1]https://cloud.google.com/vision/reference/rest/v1/images/annotate#boundingpoly
A current workaround would be to check the returned "boundingPoly" [1] "vertices" for the returned "textAnnotations". If the calculated rectangle's heights > widths, than your image is sideways.
[1]
[Deleted User] <[Deleted User]>
I also need this problem solved :)
sa...@vgroffice.org
same :D
Description
When we try fine tuned two Chinese-to-English translation models using AutoML Translation, even though the two models were trained on very different data, their outputs were almost identical, two training runs have resulted in minimal BLEU gains compared to previous training runs with similar data.
What you expected to happen:
Expecting a Bleu gain of minimun 1 or above
Steps to reproduce:
NA