Custom Tensorflow lite Object Detection Android tutorial(Part 4 of 4)

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This Tutorial series shows how to make a Tensorflow lite Custom Android app
This tutorial is a continuation of previous tutorial you need files from previous tutorial for this tutorial to work
Previous tutorial link
The tutorial guide file link
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Do try to comment if you guys have any errors

doomsdayrobotics
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Great works like charm . I completed the whole tutorial and it works perfectly without any issue . I am recommending this to my friends now .Kudos to you.

karuneshpalekar
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Excellent job mate .I will try to execute the whole series. Great content.

karunesh
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For those who are facing forced closed issue in android, it seems that tensorflow have updated the android in github.I cant seem to find the android folder i used in this video but the one below is old but it should work.

doomsdayrobotics
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so here you directly used the tflite model you made, can you make tutorials on how to create custom tflite model, like how to annotate and then how to convert that model into tflite. or do you have any links and resources we could use to create custom tflite model.

techieinside
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I'm getting an error. It says cannot resolve symbol context. I know that I have not defined the variable context. But I dont what value to assign to the context variable. I mean how do I get the current context? Please help. Its urgent

nehalchakravarthy
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Thanks you a lot, but how to get rid of the fact that she sees objects where they are not?

timurrinchino
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Nice tutorial will this work for efficientdet0lite model i have a .tflite file ready with me i want to deploy my model in android thanks

prayag_pawar
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Explained very well, I am facing an issue, could you please help me out
Process: org.tensorflow.lite.examples.detection, PID: 17895
java.lang.AssertionError: Error occurred when initializing ObjectDetector: Input tensor has type kTfLiteFloat32: it requires specifying NormalizationOptions metadata to preprocess input images.

sharjeelanjum
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My apk tensorflow lite always force close after did the last part . did u know how to fix it ?

syahvriladitiyaa
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Gcc 7.5.0
G++ 7.5.0
numpy 1.18.5
keras_applications 1.0.8
keras_preprocessing 1.1.2
pandas 1.1.5
six 1.15.0
pip 20.3.3
wheel 0.36.2

doomsdayrobotics
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