How to combine all Firebase ML kit APIs in one app?












-2















I want that if one image is selected it detects Label, text and faces in single image at one time only.










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  • What did you tried ?

    – Karthic Srinivasan
    Nov 18 '18 at 6:14
















-2















I want that if one image is selected it detects Label, text and faces in single image at one time only.










share|improve this question























  • What did you tried ?

    – Karthic Srinivasan
    Nov 18 '18 at 6:14














-2












-2








-2








I want that if one image is selected it detects Label, text and faces in single image at one time only.










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I want that if one image is selected it detects Label, text and faces in single image at one time only.







java android firebase firebase-mlkit






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asked Nov 18 '18 at 5:56









Kanishq GuptaKanishq Gupta

29110




29110













  • What did you tried ?

    – Karthic Srinivasan
    Nov 18 '18 at 6:14



















  • What did you tried ?

    – Karthic Srinivasan
    Nov 18 '18 at 6:14

















What did you tried ?

– Karthic Srinivasan
Nov 18 '18 at 6:14





What did you tried ?

– Karthic Srinivasan
Nov 18 '18 at 6:14












1 Answer
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Just call all of the functions on your image file at once, then combine the results using something like zip in RXJava.



Alternatively, you could nest the results (e.g. call FirebaseVision.getInstance().onDeviceTextRecognizer.processImage(image) inside the onSuccessListener of another function), although this will take much longer to complete all.



If you provide code of your existing attempts, StackOverflow can help further.






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    1 Answer
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    1 Answer
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    oldest

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    oldest

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    active

    oldest

    votes









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    Just call all of the functions on your image file at once, then combine the results using something like zip in RXJava.



    Alternatively, you could nest the results (e.g. call FirebaseVision.getInstance().onDeviceTextRecognizer.processImage(image) inside the onSuccessListener of another function), although this will take much longer to complete all.



    If you provide code of your existing attempts, StackOverflow can help further.






    share|improve this answer




























      0














      Just call all of the functions on your image file at once, then combine the results using something like zip in RXJava.



      Alternatively, you could nest the results (e.g. call FirebaseVision.getInstance().onDeviceTextRecognizer.processImage(image) inside the onSuccessListener of another function), although this will take much longer to complete all.



      If you provide code of your existing attempts, StackOverflow can help further.






      share|improve this answer


























        0












        0








        0







        Just call all of the functions on your image file at once, then combine the results using something like zip in RXJava.



        Alternatively, you could nest the results (e.g. call FirebaseVision.getInstance().onDeviceTextRecognizer.processImage(image) inside the onSuccessListener of another function), although this will take much longer to complete all.



        If you provide code of your existing attempts, StackOverflow can help further.






        share|improve this answer













        Just call all of the functions on your image file at once, then combine the results using something like zip in RXJava.



        Alternatively, you could nest the results (e.g. call FirebaseVision.getInstance().onDeviceTextRecognizer.processImage(image) inside the onSuccessListener of another function), although this will take much longer to complete all.



        If you provide code of your existing attempts, StackOverflow can help further.







        share|improve this answer












        share|improve this answer



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        answered Nov 26 '18 at 16:13









        JakeSteamJakeSteam

        1,77542234




        1,77542234






























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