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Score of 0
0 answers
148 views

Problem: I have two outputs, out_buffers.size() == 2 but when I read the data in the second tensor output_buffers[1] the data is rubbish. The first tensor, output_buffers[0] gives the same output as ...
Tooling
0 votes
1 replies
85 views

I'm building a site access control kiosk app in React Native (targeting Android tablets) that uses face recognition for worker check in/check-out. The app must work fully offline - sites often have ...
Advice
0 votes
1 replies
52 views

I'm building a Flutter app for rice leaf disease detection using CNN as my thesis project. I'm confused about the best architecture: Option 1: Deploy CNN model as REST API (Python Flask/FastAPI), ...
Score of 0
0 answers
63 views

I’m trying to deploy a seq2seq encoder-decoder model on an embedded target that only accepts INT8 TFLite models. The conversion via `TFLiteConverter` completes without errors, but the resulting model ...
Advice
0 votes
0 replies
114 views

I’m migrating my Android project from the bundled TensorFlow Lite to TensorFlow Lite via Google Play Services (LiteRT). I use Movinet, which uses signatures and I’m feeding it individual video frames ...
Best practices
0 votes
2 replies
54 views

I am currently working on an edge computing project.enter image description here The system analyzes both facial micro-expressions (via CMOS camera) and Electrodermal Activity (EDA) signals. Hardware ...
Best practices
1 vote
3 replies
77 views

Our team is building a specialized maritime logistics monitoring system designed to run on resource-constrained hardware, specifically an ARM Cortex-M4 microcontroller. We are using the TensorFlow ...
Score of 0
0 answers
55 views

I'm working on a real-time detection app using Flutter. I need to run two TFLite models simultaneously: CNN for video and Res2Net for audio. Current issue: The total inference time is around 500-600ms ...
Score of 1
1 answer
98 views

I am developing a custom C++ Inference Engine for Android using the TensorFlow Lite C API. The engine is compiled as a shared library (.so) and loaded via JNI. The engine works perfectly on Pixel and ...
Score of 1
0 answers
160 views

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) ...
Tooling
0 votes
1 replies
425 views

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, ...
Score of 2
0 answers
106 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 ...
Score of 1
0 answers
55 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 "...
Score of 2
1 answer
1065 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 ...
Score of 0
0 answers
133 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 ...

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