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Search results for python tensorflow lite
python
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tensorflow-lite
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57 search results found
Pinto_model_zoo
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3,121
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Linux Fake Background Webcam
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1,549
Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.
Tensorflow Bin
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480
Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.
Onnx2tf
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461
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
Openvino2tensorflow
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262
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the
Naruto Handsigndetection
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211
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 is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)
Tflite2tensorflow
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186
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
Tensorflowlite Bin
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185
Prebuilt binary for TensorFlowLite's standalone installer. For RaspberryPi. A very lightweight installer. I provide a FlexDelegate, MediaPipe Custom OP and XNNPACK enabled binary.
Nobuco
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132
Pytorch to Keras/Tensorflow conversion made intuitive
Embedded Ai.bench
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124
benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
Tflite Cv Example
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108
TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).
Mobile Segmentation
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107
Real-time semantic image segmentation on mobile devices
Tensorflow Lite Yolov3
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102
YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
Ova Server
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101
OpenVisionAPI server
Hiitpi
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92
A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..
Tensorflow Lite Rest Server
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74
Expose tensorflow-lite models via a rest API using FastAPI
Tpu Mobilenetssd
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62
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
Mobilenetv2 Poseestimation
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59
Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
Tensorflowlite Unet
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55
Implementation of UNet by Tensorflow Lite. Semantic segmentation without using GPU with RaspberryPi + Python. In order to maximize the learning efficiency of the model, this learns only the "Person" class of VOC2012. And Comparison with ENet.
Coral Pi Rest Server
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55
Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
Mltk
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46
A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms
Age Gender_estimation_tf Android
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41
Age + Gender Estimation on Android with TensorFlow Lite
Torch2tflite
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37
PyTorch to TensorFlow Lite converter
Face Detection Tflite
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35
Face and iris detection for Python based on MediaPipe
Nilm
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34
Energy Management Using Real-Time Non-Intrusive Load Monitoring
Efficientnet Lite Keras
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32
Keras reimplementation of EfficientNet Lite.
Movenet Python Example
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30
MoveNetを用いたPythonでの姿勢推定のデモ
Meta Tensorflow Lite
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29
Yocto layer for TensorFlow Lite interpreter with Python / C++.
Nested U Net Based Real Time Speech Enhancement Mobile App
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28
Real-time speech enhancement mobile app using Nested U-Net
Yolox Onnx Tflite Sample
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28
YOLOXのPythonでのONNX、TensorFlow-Lite推論サンプルです。
Resnet Rs Keras
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25
ResNet-RS models rewritten in Tensorflow / Keras functional API.
Faceidlight
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23
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
Teachable Camera
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21
Object detection at the edge, with Google's Coral dev board
Model Inference Deployment
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21
A curated list of awesome inference deployment framework of artificial intelligence models.
Benchmarks
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21
TensorFlow, TensorFlow-Lite Pytorch, Torchvision, TensorRT Benchmarks
Mai22 Real Time Video Sr
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21
The official codebase for the Real-Time Video Super-Resolution Challenge in Mobile AI (MAI) Workshop@ CVPR 2022 & Advances in Image Manipulation (AIM) Workshop @ ECCV 2022
Face Alignment Mtcnn
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19
A lightweight python implementation of face alignment with MTCNN landmarks using tensorflow-lite runtime
Wavenet Stt
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17
An end-to-end speech recognition system with Wavenet. Built using C++ and python.
Handwritten Digit Recognition
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16
An iOS App that recognizes handwritten digits using Swift and TensorFlow Lite
Person Detection Using Raspberrypi Cpu
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16
Raspberry Pi 4のCPU動作を想定した人検出モデルとデモスクリプト
Logotl
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15
Using Transfer Learning to build an logo Object Detection model for Tensorflow and Tensorflow Lite #ShadowML
Opssat Smartcam
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15
On November 8, 2020, this project achieved the first use of deep convolutional neural networks (CNN) on-board a spacecraft.
Sketchrecognition
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14
Model and Android app for sketch recognition using Google's quickdraw dataset
Tensorflowlite Flexdelegate
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12
This is a repository for checking the operation of Flex Delegate of Tensorflow.
Efficientnet V2 Keras
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10
Efficientnet V2 adapted to Keras functional API.
Augmented Reality Soccer Practice Application
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10
사용자가 코치의 도움없이 여러 훈련을 개인적으로 할 수 있도록 도와주는 축구 어플리케이션입니다. It is a soccer-practice-application that helps the user to do various training personally without the help of a coach.
Yunet Onnx Tflite Sample
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8
YuNetのPythonでのONNX、TensorFlow-Lite推論サンプル
Bitflow
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8
模仿 TensorFlow 写的极简深度学习框架,仅供练习目的
Tensorflow_model_quantization
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8
A tutorial of model quantization using TensorFlow
Tflite Ultra Fast Lane Detection Inference
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7
Example scripts for the detection of lanes using the ultra fast lane detection model in Tensorflow Lite.
Smartpicam
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7
Real time object detection with Raspberry Pi, Google Edge TPU and Python
Python_tflite_for_amazonlinux
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7
Python TensorFlow Lite (tflite) for amazonlinux/aws lambda.
Object_detection_tflite
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7
Object Detection using TensorFlow Lite
Skin Burn Image Multi Classification Model
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6
The AI model recognizes burned wounds, determines their severity, and shows the user the severity of the wounds and the first aid manual.
Gtsrb Tensorflow Lite
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6
TensorFlow Lite classification model for German Traffic Sign Benchmarks dataset, built on top of MobileNet v1
E Alpr
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6
Automatic Licence Plate Recognition System for Egyptian Plates (E-ALPR)
Yolo_various_framework
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6
run YOLO (object detection model) on various frameworks
Wecareforfurs
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5
This project aims to classify various types of dog skin diseases using deep learning models with images.
Countyourbirds
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5
An application to automatically recognize birds, specify the species, count and save pictures of them, only by use of one camera and a Raspberry Pi. The images and recorded values are made available online on https://opensensemap.org/.
Pitracker
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5
🔭 A TensorFlow-Lite powered tracking rover.
Flw Net Onnx2tf Sample
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5
Low-Light Image Enhancementモデルであるhitzhangyu/FLW-NetのPythonでのONNX、T
Coral Tpu
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5
Examples for playing with the coral edge TPU
Audioclassifier Mqtt
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5
Use the yamnet TensorFlow model to classify live audio from a microphone and publish the predicted results to Home Assistant via MQTT
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