Make object detection faster by using Coral

Learn how to make your object detection model run faster using Google Coral Edge TPU in this final episode of Machine Learning for Raspberry Pi. 00:00 Introduction 00:15 What is EdgeTPU? 01:24 Connecting Google Coral USB Accelerator 02:11 3 steps to run an object detection model on EdgeTPU 02:36 Step 1: Compile the TFLite model 04:15 Step 2: Install the EdgeTPU runtime 05:20 Step 3: Enable EdgeTPU when running the model 07:27 Demo 08:43 EdgeTPU model code 09:14 Coral’s repository of pretrained models 09:36 Thank you for watching! Colab notebook demonstrating how to compile a TensorFlow Lite model for Edge TPU → https://goo.gle/3G4RxUH Instructions to install the EdgeTPU runtime → https://goo.gle/3xY3oBb Sample app to run TensorFlow Lite object detection on Raspberry Pi → https://goo.gle/3GaABw3 Coral examples → https://goo.gle/3Dup355 Watch all Machine Learning for Raspberry Pi videos → https://goo.gle/ML-raspberrypi Subscribe to TensorFlow → https://goo.gle/TensorFlow #TensorFlow #MachineLearning #ML #RaspberryPi #EdgeAI product: TensorFlow - TensorFlow Lite, TensorFlow - General; fullname: Khanh LeViet;