Installation
Select your environment settings and Execute the command
or access the package via the link generated below.
Get Started with OpenCV the Right Way
Install, set up, and start building with OpenCV through our Free OpenCV Bootcamp - your first step into AI.
- Official OpenCV Certification
- 14 Modules
- Videos
- Quizzes
- 3Hrs Content
- Colab Notebooks
What's covered in this course?
- Getting Started With Images
- Basic Image Manipulation
- Image Annotation
- Image Enhancement
- Accessing the Camera
- Video Writing
- Image Filtering
- Image Features and Alignment
- Panorama
- HDR
- Object Tracking
- Face Detection
- TensorFlow Object Detection
- Pose Estimation using OpenPose
Tool Kit
Testimonials
The Computer Vision course offered by OpenCV University played a crucial role in starting my AI career. I landed a six figure consulting job in AI right after I graduated.
A year later I was hired at Tesla as a Data Engineer with double the compensation.
OpenCV University was the best investment in my AI career.
A year later I was hired at Tesla as a Data Engineer with double the compensation.
OpenCV University was the best investment in my AI career.
I am being promoted to Assistant Manager with a salary hike of almost 45%!
A huge part of this success is due to the skills I acquired through OpenCV University courses.
I am at the beginning of my AI journey but this early success is thrilling.
A huge part of this success is due to the skills I acquired through OpenCV University courses.
I am at the beginning of my AI journey but this early success is thrilling.
The OpenCV University program trained me in the art of building real-world CV and AI applications.
As an AI expert, I charge 2-3 times more on Upwork than in my previous role as a software developer.
The extra cash enabled me to bootstrap a startup I am working on.
As an AI expert, I charge 2-3 times more on Upwork than in my previous role as a software developer.
The extra cash enabled me to bootstrap a startup I am working on.
I took OpenCV University courses in 2021. They played a significant role in the choice of algorithms, and the quality of the Autonomous Point of Purchase (A-PoP) product we built at Intuitivo, and we were able to raise $7.8M in 2022. I highly recommend OpenCV University courses for entrepreneurs, students, and professionals who want to start a career in AI.
At 45, I burned out as a race car engineer and took a low-stress job as a garbage collector. But I wanted more, so I learned Python and got into computer vision. After enrolling in OpenCV University, I landed a job as a computer vision software engineer with a great pay raise. Now, I’m doing work I enjoy in a field I love.
After taking the OpenCV courses, I launched my startup as a side project, and now it has grown into a full-time business with paying customers. The skills I learned from those courses helped me build a proctoring system in 2020, which is still being used today. OpenCV gave me the foundation I needed to turn my idea into a real business.
These exceptionally well-organized
courses provide immense value to AI
professionals. You can keep using the
content as a reference long after
completing the courses. I recommend
AI programs by OpenCV to everyone
interested in working in the field
Through the last years, I have taken several MOOCs, yet I am sure that this is one of the best courses in computer vision and image processing.
Constructive and timely feedback on the assignments and projects are very encouraging and supportive.
Installation
Select your preferences and run the install command.
Operating System:
Building From Source:
Language:
Run this Command:
Verification
To ensure that OpenCV is installed correctly, we can run the following example to show how to read and display image
Python
Change path/to/image to a real path of an image, then run this demo
import cv2 as cv
img = cv.imread("path/to/image")
cv.imshow("Display window", img)
k = cv.waitKey(0) # Wait for a keystroke in the window
C++
Change path/to/image to a real path of an image, then build this demo with OpenCV package and run it
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
int main()
{
std::string image_path = "path/to/image";
Mat img = imread(image_path, IMREAD_COLOR);
imshow("Display window", img);
int k = waitKey(0); // Wait for a keystroke in the window
return 0;
}
JavaScript
Copy this code into an html file and open it in your web browser
<title>Hello OpenCV.js</title>
<h2>Hello OpenCV.js</h2>
<p id="status">OpenCV.js is loading...</p>
<div>
<div class="inputoutput">
<img id="imageSrc" alt="No Image" />
<div class="caption">imageSrc </div>
</div>
<div class="inputoutput">
<div class="caption">canvasOutput</div>
</div>
</div>
<script>
let imgElement = document.getElementById('imageSrc');
let inputElement = document.getElementById('fileInput');
inputElement.addEventListener('change', (e) => {
imgElement.src = URL.createObjectURL(e.target.files[0]);
}, false);
imgElement.onload = function () {
let mat = cv.imread(imgElement);
cv.imshow('canvasOutput', mat);
mat.delete();
};
var Module = {
// https://emscripten.org/docs/api_reference/module.html#Module.onRuntimeInitialized
onRuntimeInitialized() {
document.getElementById('status').innerHTML = 'OpenCV.js is ready.';
}
};
</script>
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