Appium Visual Testing -1 : How to Install “opencv” or “opencv4nodejs” on windows(Appium) & Verify using ‘AppiumDoctor’

Get a step-by-step walkthrough in the video below!

Inthis Article, we will discuss How to Install “opencv” or “opencv4nodejs” on windows(Appium) & Verify using ‘AppiumDoctor’

Step1: Verify the OpenCV is installed or not

By Using Appium-Doctor, We will check whether OpenCV is install or not in our PC.

Run the below command.

appium-doctor

Once user runs the above mentioned command, a detailed log is generated as below.

Observe that as per the log the ‘opencv4nodejs’ is cannot found(not installed).

Step2: Install opencv4nodejs

In this step, we will install ‘opencv4nodejs’ by using below command.

Command:

npm install -g opencv4nodejs

Breakdown of the Command:

• npm: Node Package Manager – the tool used to install Node.js packages.
• install: The command to install a package.
• -g: Global install. This installs the package system-wide (i.e., not just for a single project), making it accessible from anywhere in your terminal.
• opencv4nodejs: This is the name of the package. It's a Node.js binding for OpenCV (Open Source Computer Vision Library), allowing you to use OpenCV functions in JavaScript/Node.js.

Example:

What is opencv4nodejs?

• It’s a Node.js wrapper around the OpenCV C++ library.
• It allows you to use OpenCV functions (like image processing, face detection, etc.) in your JavaScript applications.
• It’s used for building apps that involve computer vision in Node.js environments.

Step3: Verify the OpenCV Installation

We will once again check whether OpenCV is installed or not by using Appium Doctor.

Run the below command.

appium-doctor

Once user runs the above mentioned command, a detailed log is generated as below.

When you, Observe the log under the optional dependencies “opencv4nodejs’ is installed.

Quick Summary:

This command globally installs a Node.js package that lets you use OpenCV (a powerful computer vision library) in Node.js projects. It’s helpful for tasks like real-time object detection, image manipulation, and facial recognition.

GitHub Link: