3.80 (55 reviews)
☑ Do image processing
☑ Use basic Computer Vision techniques
☑ Build: Image Similarity app
☑ Build: Search Engine app
☑ Build: Face Detection app
☑ Build: Object Detection app using templates
☑ Build: Object Detection app using Keypoints
Introduction course to Computer Vision with Python.
Whatever be your motivation to learn Computer Vision, I can assure you that you’ve come to the right course.
This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to a Computer Vision expert in a few weeks. The most difficult concepts are explained in plain and simple manner using code examples.
We will build:
I personally guarantee this is the number one course for you. This may not be your first OpenCV course, but trust me - It will definitely be your last.
I assure you, that you will receive fast, friendly, responsive support by email, and on the Udemy.
Don't believe me? I offer a full money back guarantee, so long as you request it within 30 days of your purchase of the course.
Also the course is updated on a regular basis to add more new and exciting content.
Join the course right now. So what are you waiting for ?
Let’s meet at the other side of the course.
Media with Python
Color to Grayscale Conversion
Pixels and coordinates
Change Pixels in Image
Draw lines, rectangles, circles
Text on images
Color-mean Features Theory
Demo: Color-mean Features
Code: Color-mean features
Code: Grayscale Histogram Features
Texture Features (Local Binary Pattern)
Code: Texture-based Features (Local Binary Pattern)
Quiz on Feature Vectors
App: Image Similarity
Theory: Image Similarity
App: Image Similarity
Apps: Reverse Image Search
Theory: Reverse Image Search Engine
App: Reverse Image Search
App: Object Detection using Template Matching
Theory: Template Matching
App: Object Detection app using Templates
App: Face Detection
App: Face Detection using Haar Cascade
Theory: Haar Features
App: Real Life Object Detection using Keypoints
Object Detection using keypoints
Code: Keypoint Extraction
App: Object Detection using Keypoints
Muy útil para familiarizarse con el procesamiento de imágenes. aunque el nivel es básico, da las bases para continuar por nuestra cuenta.
There is definitely some worth to this course as a basic introduction to Machine Vision. In my opinion, these videos would make a good YouTube channel, but not quality enough for an online course. Even though I am a complete beginner, it was too basic and short for me. I did learn a few basic concepts, however nothing that I can apply to the real world right away. I will be moving on to another course to complete the missing gaps in this course, and to go into more advanced, real-world applications.
the course is very interesting and the discussion is very clear even for the beginners. i really enjoy this course, it really helps me a lot learning computer vision. thanks to this course.
the Idea of materials is great, it just need to be enriched with another methods such as color e.g HSV, RGB, Greycomatrix, etc. More explanation about bins, feature vector how to code it, etc. Overall it is quite informative course.
This is a good intro to openCV. But Py-OpenCV is so awesome this course only scratches the tip of the iceberg. Course feels rushed and parameters aren't always explained. In future updates I'd like to hear more about: Thresholding, accessing live cams, color&object tracking, support vector machines, KNN, edge/contour/blob detection, Machine learning, scikit-learn & matplotlib library implementation, +more