Comments (1)
There may be some issue in the Image Scanner. In order to train the model to recognize more object. You will have to train with more images. Refer this to train.
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
- Cannot convert between a TensorFlowLite buffer with XXX bytes and a ByteBuffer with XXX bytes HOT 22
- Could I re-train it with my own datasets? HOT 4
- FATAL EXCEPTION - pool-1-thread-1 HOT 3
- CreateProcess error=2, The system cannot find the file specified HOT 1
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from android-tensorflow-lite-example.