62 Open source projects that are alternatives of or similar to E2E-tfKeras-TFLite-Android

Python TFLite scripts for detecting objects of any class in an image without knowing their label.

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀

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quick and dirty inference time benchmark for TFLite gles delegate

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物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

How to run a Keras model on Android using Tensorflow API.

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Run object detection on edge devices using Tensorflow Lite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

Drishti is an open-source cross-platform mobile application project at Incubate Nepal that incorporates Machine Learning and Artificial Intelligence to help visually impaired people recognize different currency bills and perform daily cash transactions more effectively. We plan to expand Drishti to other applications like Short Text and Document…

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

Agro Doc is basically an app that will help farmers easily pinpoint their crop diseases using their smartphones. The app uses a pre trained tensorflow model to identify issues and then suggest possible cures for the crop infections/diseases. #AndroidDevChallenge

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

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🔥🔥🔥色情图片离线识别，基于TensorFlow实现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台

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OpenVisionAPI server

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🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A food ordering android application with feedback analyzer to improve food suggestions to customer.

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

TensorFlow binding library for VA Smalltalk

An example Android application using TensorFLow Lite is available on Tensorflow github, Creating a project directory in tensorflow/tensorflow/contrib/lite/ , which is builted on Android studio 3.0.I have download the model of tflite format and complie the libtensorflowlite_jni.so and libtensorflowlite.jar

离线端阅读理解应用 QA for mobile, Android & iPhone

NNtrainer is Software Framework for Training Neural Network Models on Devices.

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.