Could not invoke RNImageRecognition.initImageRecognizer. Failed to allocate byte allocation.

[Jonarod]

Just cloned the repo, and ran the example as-is on a Genymotion android device with 4Gb RAM.
Everything seems to build fine, but got this error in the device:

Could not invoke RNImageRecognition.initImageRecognizer. 

null

Failed to allocate a 53884608 byte allocation with 25165824 free bytes and 31MB until OOM, max allowed footprint 93269104, growth limit 100663296.

I can imagine it is an "hardware" problem but I find it a bit strange it's not working on a 4096MB RAM device for an image classifier.

Maybe use TensorFlow Lite instead ?
Any suggestion ?

[twalk4821]

Same issue here.

I also have a very large frozen graph (400mb), even after running the inference optimizer on it.

[alwaysmyz]

you can try this:add below entities in your manifest file
android:
https://stackoverflow.com/questions/32244851/androidjava-lang-outofmemoryerror-failed-to-allocate-a-23970828-byte-allocatio

[twalk4821]

That did not work in my case. Thanks for the suggestion though.

…

On Mon, Jan 21, 2019, 12:19 AM alwaysmyz ***@***.*** wrote: you can try this:add below entities in your manifest file android:hardwareAccelerated="false" , android:largeHeap="true" just like below I solve this error by this way. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#39 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AWnaIQCBRhwcnfa7uLOVo9xQjZ-oBgXoks5vFXf-gaJpZM4Z9YOi> .

[alwaysmyz]