google cloud video intelligence api

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Cloud Intelligence API monitoring three steps to increase business growth

Cloud Intelligence API monitoring three steps to increase business growthApplications based on the Internet, cloud computing and mobile are becoming increasingly popular and changing the way people live and work. More and more application services are packaged into a series of APIs that are open for use by third partie

The real use of reflection-thoughts on NetEase Cloud Classroom Intelligence Podcast Fanglixun Teacher reflection video small Mistakes

code in the red area? It's not a good idea. Do you not know which object to pass in? What's the new object? Then consulted the developer sitting next to my colleague, finally figured out that the reflection is not so used, the above code can not be used to write the reflection code. The real reflection usage is this:Class Clazz=class.forname ("Com.learn.reflect.Person");--first or load the target classObject obj=clazz.newinstence;Method M=clazz.getmethod ("Print3", String[].class); --string[].c

Google cloud messaging (GCM) for Android, Android platform message push technology (I): Build a Google API Project

Recently, due to work relationships, we need to push messages to customers on the Android mobile phone platform. The original push technology on the Android mobile phone platform uses c2dm (cloud to device messaging framework ), however, this year, Google announced its end of support and development and its acceptance of new user registration. Google then officia

Using WaveNet with Google Cloud API

WaveNet is used in Cloud text-to-speech for TTS, which has a demo on the page. Currently a beta versionHow to use Registration and Certification reference: Quickstart:text-to-speech Install the Python library for Google Clould Install Google Cloud Text-to-Speech AP

Google Open source TensorFlow object Detection API Video Object recognition system implementation (ii) [ultra-detailed tutorial] ubuntu16.04 version

This section corresponds to Google Open source TensorFlow object Detection API Object recognition System Quick start Step (i):Quick Start:jupyter notebook for off-the-shelf inferenceThe steps in this section are simple and do the following:1. After installing Jupyter in the first section, enter the Models folder directory at the Ternimal terminal to execute the command:Jupyter-notebook  2. The Web page open

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