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data = tf.keras.utils.image_dataset_from_directory('snails', image_size=(256,256), shuffle=True) class_names = data.class_names num_classes = len(class_names) print("Classes:", class_names) ...
Stanley Markson Verian's user avatar
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I specifically need: -A real .tflite file (not .onnx, not .pb, not .pth, not .mlmodel) -Image classifier model (NOT segmenter or detector) -Preferably with 5 classes or at least 2: drawings, hentai, ...
WadiaAbushanab's user avatar
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2 votes
0 answers
77 views

I am trying to reproduce the exact layer-wise output of a quantized EfficientNet model (TFLite model, TensorFlow 2.17) by re-implementing Conv2D, DepthwiseConv2D, FullyConnected, Add, Mul, Sub and ...
Jolverine's user avatar
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2 votes
0 answers
32 views

Below is the code snippet on dummy.cpp file, which is included in my main.c: #include <stdio.h> #include <stdlib.h> #include <stdint.h> #include "dummy.h" #include "...
user23109979's user avatar
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2 votes
1 answer
522 views

I’m uploading my Android App Bundle (AAB) to Google Play Console and getting this warning: Library that does not support 16 KB: base/lib/x86_64/libtensorflowlite_jni.so after upgrading the lib ...
Hossam Sadekk's user avatar
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0 answers
91 views

I want to build a framework for iOS so that I can run inference in C++ on both Android and iOS via Flutter. So far I have managed to compile the libs for Android and succesfully loaded a model on my ...
El_Loco's user avatar
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41 views

I am trying to use tensorflow lite to call a train() signature function in my tflite model. I keep getting this error: java.lang.IllegalStateException: Model initialization failed. The TensorFlow ...
Reid Isaki's user avatar
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0 answers
76 views

https://ai.google.dev/edge/litert/models/signatures#java I have the model generated, I have the model loaded. I verified this because I can see the signatures that are available: I don't know what ...
Reid Isaki's user avatar
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60 views

I am trying to retrain MediaPipe Gusture Recognition model with new dataset. But I am not able to install MediaPipe Model Maker and tflite-support libraries in any of work environments like colab, my ...
DkR's user avatar
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0 answers
120 views

I'm working on an iOS project with TFLite model. For initializing the model, I did: var options = Interpreter.Options() options.threadCount = 2 interpreter = try Interpreter(modelPath: modelPath, ...
Jabed Dhali's user avatar
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18 views

I have a bg removal model that takes in 512x512 RGB image and outputs a 512x512 Grayscale. How can i resize it back to original Widths and Heights, and invert this creepy Grayscale back to RGB? ...
Mohammad Mansour's user avatar
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2 votes
1 answer
52 views

I have trained a YOLOv8 instance segmentation model using Ultralytics. I then tried to convert it to TFLite using model.export(format=tflite) I then placed it here Future<void> analyzeImage(...
Eiggerg Moreno's user avatar
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133 views

I have already asked this question over on Google Ai for Devs, but have not received an answer, so I will try my luck here. I am currently working on testing inference speeds of different object ...
RNoah's user avatar
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1 answer
191 views

I am trying to integrate deep learning model to my android application. But I am getting stuck on running the model in my application. I have created a model that uses tensorflow for detecting the ...
Sunil Mahato's user avatar
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0 answers
63 views

I am trying to extract intermediate outputs from a quantized TFLite model using the TFLite interpreter. The goal is to verify that the model's intermediate outputs match the mathematically expected ...
user30607871's user avatar
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148 views

I am trying to build a model using tflite micro but it is not working. All the files I have added but linking is not working. Can anyone help in this? Makebuild files. txt GNU nano 7.2 ...
Shubham sharma's user avatar
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0 answers
38 views

I'm having trouble because the TensorFlow Lite model produces very different outputs in Python and on Android, even though I'm providing the same input in both. On the Flutter side, I'm using the ...
İsmail Kerem Gül's user avatar
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1 vote
0 answers
33 views

I want to convert an .onnx file to tflite file but it is giving me this error . AttributeError: module 'tensorflow.python.framework.type_spec' has no attribute '_NAME_TO_TYPE_SPEC' here is my code: ...
rayen's user avatar
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1 answer
293 views

I've been trying to train a custom detector model for a LimeLight3A through the Google Colab notebook they provided. I successfully trained one on April 4th, but since then any of my attempts at ...
AstarHolt's user avatar
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1 vote
1 answer
47 views

How can I convert a TensorFlow 1 "BigGAN" model on Kaggle to TensorFlow Lite format? https://www.tensorflow.org/hub/tutorials/biggan_generation_with_tf_hub?hl=ja I am trying to implement the ...
Shinobu HUYUGIRI's user avatar
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-1 votes
1 answer
233 views

My understanding is that tflite was developed to avoid installing the full package of Tensorflow in embedded system such Raspberry Pi, saving processing and power resources. Following the directions ...
gus's user avatar
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2 votes
1 answer
96 views

I have my own custom trained tflite model that I trained and converted to a C++ source file. As part of the project, it is meant to run on a Zync-7000 and I am doing it with a bare metal ...
caleb losch's user avatar
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-1 votes
2 answers
79 views

Planning on using Tensorflow Lite for image classification. To test the model, using Fashion-MNIST database to create the model following a Tensorflow basic example from their website. Created and ...
gus's user avatar
  • 369
-1 votes
1 answer
201 views

Trying to install TensorFlow Lite (liteRT) in Raspberry Pi Zero W but not working. Following these directions: https://ai.google.dev/edge/litert/microcontrollers/python https://pypi.org/project/ai-...
gus's user avatar
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1 vote
1 answer
90 views

I have questions about a model obtained from TensorFlow Hub. I am trying to use "movenet" with the following source code. https://www.kaggle.com/models/google/movenet/tensorFlow2 (1) The ...
Shinobu HUYUGIRI's user avatar
  • 31
0 votes
1 answer
67 views

I am trying to run inference using the TFLite model of multipose-lightning-tflite-float16 distributed by movenet. https://www.kaggle.com/models/google/movenet/tfLite However, this model cannot be used ...
Shinobu HUYUGIRI's user avatar
  • 31
2 votes
1 answer
126 views

When trying to preview a SwiftUI View, the preview canvas crashes with a linker error for TensorFlowLiteC. This library does not need to be loaded for Preview. Is there a way to work around this like ...
bias's user avatar
  • 1,466
0 votes
0 answers
76 views

The beginning of the app.tsx file for my react native app looks like this: import {PaintStyle, Skia} from '@shopify/react-native-skia'; import React, {useEffect} from 'react'; import {StyleSheet, Text}...
made12077's user avatar
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0 votes
0 answers
27 views

Whenever I try to build my app in Xcode, TflitePlugin has many errors such as unknown type name "TfLiteTensor" and unknown type name "TfLiteModel". I would imagine this is caused ...
user29810443's user avatar
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1 vote
2 answers
321 views

getting this error while trying to load a tf model I converted to tflite so I can use it in my app I did what the message suggests and added the org.tensorflow:tensorflow-lite-select-tf-ops dep in the ...
RootOfMinusOne's user avatar
  • 147
1 vote
0 answers
128 views

I am trying to replicate the working of TFLITE_DETECTION_POSTPROCESS layer for a custom object detection model. Does anyone has any reference for TFLITE_DETECTION_POSTPROCESS layer implementation in ...
Desmond's user avatar
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2 votes
0 answers
34 views

I am implementing face recognition and clustering application in iOS, For that first I have detected faces from image and cropped face images using MLKit, That works well. Now I am giving cropped face ...
Hiren Fadadu's user avatar
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0 votes
0 answers
48 views

I am developing an application in Android Studio using a TensorFlow Lite model. When running the app, I encounter the following error: java.lang.AssertionError: TensorFlow Lite does not support data ...
friend's user avatar
  • 3
0 votes
0 answers
47 views

I was trying to create a TFLite live object detection project by cloning from this repo. I've followed all the instructions provided by the plugin properly. But Tflite.detectObjectOnFrame() giving an ...
stackunderflow's user avatar
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0 votes
0 answers
101 views

I am working on a project where I need to process pose landmarks, left hand landmarks, right hand landmarks, and face landmarks in a specific order using MediaPipe. However, the landmarks are not ...
Sadık Ahmet's user avatar
  • 1
0 votes
0 answers
61 views

I am building an app that uses a tf-lite model called MoveNet which recognizes 17 body key points, as well as my own tf-lite model on top of that (lets call it PoseClassifier) to classify poses based ...
Maxwell Warren's user avatar
  • 29
0 votes
0 answers
236 views

I'm building an Android app using TensorFlow Lite with ML Model Binding. I've followed the required setup but can't get the TensorFlow Lite model to work in my MainActivity. Specifically, the IDE ...
Ayushi Gupta's user avatar
  • 1
1 vote
0 answers
25 views

Error message: java.lang.IllegalArgumentException: Cannot copy from a TensorFlowLite tensor (StatefulPartitionedCall:8) with 393216 bytes to a Java Buffer with 512 bytes. I took gpt2 head model from ...
Subha lakshmi S's user avatar
  • 11
2 votes
1 answer
336 views

Problem: I am working on a Flutter project where I need to run a TensorFlow Lite (TFLite) object detection model. The model has specific input and output shape requirements, and I am encountering ...
yousef sultan's user avatar
  • 21
0 votes
0 answers
69 views

I am implementing a TensorFlow Lite model in my Android application using the mobilenet_v2_1.4_224.tflite model, which I downloaded from the TensorFlow GitHub repository: MobileNet from TensorFlow ...
k6074526's user avatar
  • 9
0 votes
1 answer
111 views

Building aosp for target 'lunch sdk_phone_x86_64' I have included a custom system app which uses tensorflow hence within the Android.bp this is the dependency declaration. static_libs: [ "...
razakma15's user avatar
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1 vote
0 answers
104 views

I am working on a project using an ESP32-CAM to detect humans and control appliances like a fan and a light based on Al inference. For this, I am using the Chirale_TensorFlowLite library to run a ...
Kamal Medhi's user avatar
  • 11
0 votes
1 answer
151 views

I am trying to use Tensorflow for one of my project, and i have two .bin files that i want to load locally. I added them in assets folder, and now using code like: const modelWeights1 = await require('...
Mradul Mishra's user avatar
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1 vote
0 answers
70 views

I'm trying to create a custom operator in TFLite, wrapping up scipy's lfilter function. The goal being to bind it to its implementation in C++ when invoking the TFLite interpreter (from the equivalent ...
EDL's user avatar
  • 11
1 vote
0 answers
28 views

I am running my TFLite model on mobile, using react-native-fast-tflite to handle the file for mobile app development. I updated my config to enable CoreML: [ 'react-native-fast-tflite', ...
Phil Lucks's user avatar
  • 4,162
1 vote
1 answer
155 views

I've been struggling with this one for a while so here we go : I've been trying to match the speed of inference for an ML model I generated with Edge Impulse originnaly to Arduino, then to ESP-IDF for ...
A.KYROU's user avatar
  • 33
1 vote
1 answer
60 views

I am currently working on a project that involves using OpenCV and TensorFlow Lite within the ns-3.38 simulation environment. Despite several attempts, I am facing difficulties with configuring and ...
Negar Javadzadeh's user avatar
  • 407
0 votes
1 answer
180 views

Im trying to implement yolo11n-pose_float16.tflite model to Android Kotlin project. But I cant get correct keypoints on output because there is something I did wrong. I want to draw only the skeleton ...
samedhrmn's user avatar
  • 147
1 vote
1 answer
103 views

I've tried to convert a TensorFlow model to .tflite, I found the parameters of the .tflite are not all int8, while some parameters also float32. Only the dense parameters are int8, while the conv2d ...
LNCC99's user avatar
  • 11
0 votes
1 answer
250 views

I'm Trying to test Quantization Aware Training from TensorFlow Lite. The following source code creates an AI model (variable: model) trained with the MNIST dataset (just 1 epoch for testing purpose). ...
eddy33's user avatar
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