Comments (4)
Hi,
Yes you definitely can!
If the dataset is labeled, you should complete tensorflow for poets. Instead of download the training images from google, add yours.
Then, you have labels and NN (not tf-lite). So in tensorflow for poets 2 tflite you will optimize your model using the TFLite converter.
After that, just swich mobilenet_quant_v1_224.tflite
and labels.txt
with the files that tf for poets executed.
Good luck :-)
from android-tensorflow-lite-example.
I tried to retrain it with my own data set and used mobilenet_1.0_224 as tfhub module but it crashes, please help me
from android-tensorflow-lite-example.
My recent PR has added support for float models, which is probably the type of model you trained. Simply change the variable QUANT to false in TensorFlowImageClassifier.java along with changing the model and lebels name.
from android-tensorflow-lite-example.
Hi there.
I wanted to know if you retrain with a new dataset, how do you order the new labels in the label.txt file?
Does the order matter? And if so, how can one be sure of the order to use?
I working with a new model built using tesnorflow 1.13.1's Keras.
from android-tensorflow-lite-example.
Related Issues (20)
- it's really amazing!
- Replaced the model and the label but it Crashes! HOT 2
- No toolchains found in the NDK toolchains folder for ABI with prefix: mips64el-linux-android HOT 1
- Support for Multibox detector in application please..!
- Enabling GPU support on Android for Yolov2
- Reading model from internal storage HOT 4
- increase image size and quality HOT 1
- change model to .tflite file
- cant find the link HOT 1
- How to change input from single image to stream. Does cameraKit allow that?
- FATAL ERROR - no implementation found HOT 1
- The common object detection accuracy is poor when deployed a default tflite in mobile
- image size with new model
- Code is not working with inceptionV3 model [cannot convert an tensorflowlite tensor with type float32 to a java object of type [[b (which is compatible with the tensorflowlite type uint8)] HOT 4
- I want to do DetectAcitivty Demo what Can I do ? HOT 1
- Image Scanner activity not close on finish() and onBackPressed() not working HOT 1
- Cannot convert between a TensorFlowLite buffer with XXX bytes and a ByteBuffer with XXX bytes HOT 22
- FATAL EXCEPTION - pool-1-thread-1 HOT 3
- CreateProcess error=2, The system cannot find the file specified HOT 1
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