Comments (2)
@abdullahJufri The app currently only reads image from the device's local storage. You can modify the MainActivity.kt
file and use the method fileReader.run( images , fileReaderCallback )
where images
is an ArrayList<Pair<String,Bitmap>>
. You can populate images
by downloading them from a URL and pass it to fileReader.run
to get the embeddings generated.
from facerecognition_with_facenet_android.
Thanks @shubham0204
from facerecognition_with_facenet_android.
Related Issues (20)
- Error in FrameAnalyser.kt : Cannot copy to a TensorFlowLite tensor (input_1) with 307200 bytes from a Java Buffer with 150528 bytes HOT 4
- [Error] : Getting facelist.size as 0 in FrameAnalyser.kt HOT 12
- l2 Norm not working as expected. HOT 13
- I am getting same name for every image in the frame HOT 6
- [request] write detection log to a file
- [issue] Always assign a face even if the image does not exist. HOT 2
- How to train the facenet model HOT 2
- Works incorrectly in samsung A21s HOT 9
- Device orientation problem HOT 3
- bounding box overlay not showing properly. HOT 1
- Internal error: Failed to apply delegate with GpuDelegate HOT 3
- App is hanging with 300 Images HOT 3
- TfLiteGpuDelegate Invoke: GpuDelegate must run on the same thread HOT 3
- Multiple facial recognition in a single frameis not detecting properly HOT 2
- Access denied finding property "ro.mediatek.platform"! HOT 6
- Works on phone but not on tablet HOT 1
- How to improve the accuracy of facenet ?
- landscape orientation HOT 2
- Application of tflite models and how to convert them. HOT 2
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from facerecognition_with_facenet_android.