Comments (2)
You can obtain a pretrained Keras model for FaceNet, from DeepFace. Then load this model using tf.keras.models.load_model()
and you're ready to train the model on your dataset.
from facerecognition_with_facenet_android.
I saw the repo and but there is explanation about the dataset requirements and labeling stuff.
Do you have python script for the training task ??
Any info about the training dataset and its labels required.??
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
- 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 ?
- Can the source of the photo not be from storage but from a photo link? HOT 2
- landscape orientation HOT 2
- Application of tflite models and how to convert them. HOT 2
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from facerecognition_with_facenet_android.