Parts 2 and 3 of this guide will go on to show how to deploy this newly trained TensorFlow Lite model on the Raspberry Pi or an Android device. If you're not feeling up to training and converting your own TensorFlow Lite model, you can skip Part 1 and use my custom-trained TFLite B...
A guide showing how to train TensorFlow Lite object detection models and run them on Android, the Raspberry Pi, and more!IntroductionTensorFlow Lite is an optimized framework for deploying lightweight deep learning models on resource-constrained edge devices. TensorFlow Lite models have faster inference...
In this tutorial, I’ll walk you through the process of installing TensorFlow Lite on a Raspberry Pi and using it to perform object detection with a pre-trained Single Shot MultiBox Detector (SSD) model.You can watch this tutorial in video form here:...
One of the common frameworks used for machine learning, Tensorflow provides a specific package dedicated to being used in edge computing called Tensorflow Lite. This paper aims to present a performance comparison of these two frameworks on a Raspberry 4 Pi model B board. This paper focuses on ...
# 1. Clonegit clone https://github.com/tensorflow/examples --depth1# 2. 进入文件夹cdexamples/lite/examples/object_detection/raspberry_pi# 文件夹里总共5个文件# README.md ## annotation.py # 用于绘制方框、标签# detect_picamera.py # 主程序# download.sh # 下载 python 依赖包、已训练的模型#...
protoc object_detection/protos/*.proto --python_out=. 此命令将所有“名称” .proto文件转换为“ name_pb2” .py文件。接下来,进入object_detection目录: cd /home/pi/tensorflow1/models/research/object_detection 现在,我们将从TensorFlow检测模型库中下载SSD_Lite模型。模型动物园是谷歌的预训练对象检测模型的...
pi 4模型b 8 8GB的内存中运行TensorFlow lite对象检测，在每秒1.5到2帧的速度下预测非常慢。
这既得益于 MobileNet 的小巧,也得益于 tflite 的精简模型的加速,可达到准实时的效果。 4. 目标检测应用 cd examples/lite/examples/object_detection/raspberry_pi bash download.sh /tmp 下载一个 MobileNet ssd v2 模型文件和 coco 标签文件到 tmp 目录中。
argparse#numpy>=1.20.0# To ensure compatibility with OpenCV on Raspberry Pi.#opencv-python~=4.5.3.56tflite-support>=0.4.0 在通过setip.sh提供的模型地址下载TF预训练模型 # 普通CPU模型https://tfhub.dev/tensorflow/lite-model/efficientdet/lite0/detection/metadata/1?lite-format=tflite# 适用于搭载了...
TensorFlow Lite 的应用 使用TensorFlow Lite 在 Android 上进行对象检测 使用TensorFlow Lite 在 Raspberry Pi 上进行对象检测 使用TensorFlow Lite 和 Create ML 在 iPhone 上进行对象检测 各种标注方法的摘要 边缘设备上的深度学习概述 对于计算机而言,边缘是查看事物并测量参数的最终设备。 在边缘设备上进行深度学习意...