I am trying to covert a tensorflow (LSTM) based model to tensorflow lite using tensorflow TOCO and tf_convert tool, but the tensorflow lite model after conversion is around 245MB where as the origi...

I was wondering if there is a way to know the list of inputs and outputs for a particular node in tflite? I know that I can get input/outputs details, but this does not allow me to reconstruct the ...

I have generated a .tflite model based on a trained model, I would like to test that the tfilte model gives the same results as the original model. Giving both the same test data and obtaining the...

I've the following line in my gradle android project inside the module build.gradle dependencies { // a lot of dependencies implementation 'org.tensorflow:tensorflow-lite-select-tf-ops:0.0.0-nigh...

I'm looking for ways to convert a mask (a Height x Width boolean image) into a series of bounding boxes (see example picture below, which I hand-drew), with boxes encircling the "islands of tr...

As I detect my tflite file, the problem happened. The command I wrote. python detect.py --weights ./checkpoints/yolov4-tiny-tf.tflite --size 416 --model yolov4 --image D:\yolov4\training\tensorflow...

I wanted to use my keras trained model in android studio. I got this code on internet to convert my code from keras to tensorflow-lite. But when i tried code i got this error: OSError: SavedModel ...

I am trying to use this Google's example, but with my own dataset: https://github.com/tensorflow/examples/blob/master/tensorflow_examples/lite/model_customization/demo/text_classification.ipynb I...

The current version of tflite-runtime is 2.11.0: https://pypi.org/project/tflite-runtime/ Here is a testing for downloading the tflite-runtime to the tmp folder: mkdir -p /tmp/test cd /tmp/test ec...

I have a custom CNN model, and I have converted it to .tflite format and deployed it on my Android app. However, I can't figure out how to do batching while inference with tensorflow lite. From t...

Here is a simple code to reproduce the error: import os os.environ["CUDA_VISIBLE_DEVICES"]="-1" import numpy as np from keras.models import Sequential from keras.layers import Conv1D, Flatten, De...

I am trying to convert a saved_model from TensorFlow Object Detection Model Zoo to a tflite file. The model I am using is ssd_mobilenet_v2_oid_v4_2018_12_12. So I used export_tflite_ssd_graph.py: ...

So I am trying to use Tensorflow Lite on an android app. The following code is called when the camera captures an image: override fun onActivityResult(requestCode: Int, resultCode: Int, data: Inten...

I'm trying to run inference using tf.lite on an mnist keras model that I optimized by doing post-training-quantization according to this RuntimeError: There is at least 1 reference to internal dat...

I have used this project from Github: https://github.com/nicknochnack/TFODCourse The project contains a model that can detect License Plate on a given Vehicle image. The Github repo also contains c...

What I have: A trained recurrent neural network in Tensorflow. What I want: A mobile application that can run this network as fast as possible (inference mode only, no training). I believe ther...

I have 2 tflite models hosted as s3 objects on aws. In my react-typescript app, I am trying to load those models if the browser is opened on mobile. Else, the web app will use other more efficient ...

I was playing with tflite and observed on my multicore CPU that it is not heavily stressed during inference time. I eliminated the IO bottleneck by creating random input data with numpy beforehand ...

I have the Apple M1 Pro chip and cannot get my tensorflow project running. I followed the installation instructions from Apple's site. When I run pip install -r requirements.txt, all my python pack...

I'm trying to debug my tflite model, that uses custom ops. I've found the correspondence between op names (in *.pb) and op ids (in *.tflite), and I'm doing a layer-per-layer comparison (to make sur...

If I want to implement a classifier using the sklearn library. Is there a way to save the model or convert the file into a saved tensorflow file in order to convert it to tensorflow lite later?

I'm trying to host a small model I have compiled down to a .tflite on AWS Lambda. Using either the python 3.6 or python 3.7 tflite wheel files available on the tensorflow website I zip up my packag...

I have a quantized tflite model that I'd like to benchmark for inference on a Nvidia Jetson Nano. I use tf.lite.Interpreter() method for inference. The process doesn't seem to run on the GPU as the...

I have a TensorFlow model on which I would like to perform post-training quantization. I am using C# for software and the device will be in c++ (where I will use tflite). It would be nice to have t...

My android app have a need to read the text in a image and I am using the Firebase ML Kit for that purpose, it works well for the text which is in standard Roman script but it completely fails to r...