Скачать с ютуб Introduction to object detection on Raspberry Pi в хорошем качестве

Introduction to object detection on Raspberry Pi

In the first episode of Machine Learning for Raspberry Pi, learn how to download a pre-trained TensorFlow Lite object detection model and deploy it to your Raspberry Pi. This model can be used to recognize general objects such as an apple, a television, or a car. 00:00 Welcome to the Machine Learning for Raspberry Pi 00:12 What you’ll learn in this series 1:14 Get started running object detection 1:35 Download the latest version of Raspberry Pi OS (link below) 2:29 Connect a camera to Raspberry Pi 3:12 Setting up Raspberry Pi 3:42 Create a Python virtual environment 4:30 Clone the TensorFlow examples 5:18 Run python detect.py to see what the model can detect! 5:45 Specific objects and faster speeds 6:16 A closer look at the code 9:34 What’s next Download Raspberry Pi OS → https://goo.gle/raspberrypi_software Gist to setup your Raspberry Pi environment → https://goo.gle/3GdeQvz GitHub repository containing the sample code → https://goo.gle/3GaABw3 Train a custom object detection model using your data → https://goo.gle/31qq4yg Choose an object detection model architecture for Raspberry Pi → https://goo.gle/3lDe9DO Make object detection run faster by using Coral → https://goo.gle/3EuH3xn Watch all Machine Learning for Raspberry Pi videos → https://goo.gle/ML-raspberrypi Subscribe to TensorFlow → https://goo.gle/TensorFlow #TensorFlow #MachineLearning #ML #RaspberryPi product: TensorFlow - TensorFlow Lite, TensorFlow - General; fullname: Khanh LeViet;