Computer Vision with Python (Udemy.com)
Introduction to Computer Vision, make vision apps
Created by: Frank Anemaet
Last updated August 2017
What you will learn
- 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
How it compares
Against the other 388 rated Udemy courses in Python on CourseDuck:
- Rating4.2 out of 5higher than 15% of them
- Reviews174#328 of 389 by number of reviews
- Length1.2 hoursshorter than 96% of them
- Last updatedAugust 2017earlier than 93% of them
Course Description
Introduction course to Computer Vision with Python.
- Make Computer Vision Apps?
- Learn Computer Vision theory?
- Build a strong portfolio with Computer Vision & Image Processing Projects?
- Looking to add Computer Vision algorithms in your current software project ?
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:
- Multimedia apps
- Image Similarity apps
- Obect Detection apps
- Face detection apps
- Reverse Image Search app
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.
Instructor Details
- 4.2 Rating
174 Reviews
Frank Anemaet
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Reviews
By Shehzad Ibrahim on 2/21/2023
very short ,certainly not fit for paid but great for introduction as a free course.If a big project would have been there the it would have been worth it.
By Nicolas Loyola on 8/8/2022
un curso bastante bueno a nivel de introducción a Open CV. Espero ver contenido más avanzado en futuros cursos.
By Paramananda Neel on 9/3/2020
Good.Please make a more detailed one. Thank you for this course. Appreciate the effort.
By Guillermo Cruz on 3/17/2019
Muy útil para familiarizarse con el procesamiento de imágenes. aunque el nivel es básico, da las bases para continuar por nuestra cuenta.
By ShapelessNinja . on 7/19/2018
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.
By Vinyl Ho Oquiño on 6/3/2018
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.
By Micheal Pettitt on 8/14/2017
the lessons are nice and short and don't lose attention, could do with more content though
By Mark C Costales on 5/10/2017
It's been pretty good. Although I wish there was more support with downloading Open cv.
By Briant Stevanus on 5/5/2017
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.
By Dogma 360 on 3/6/2017
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
Quality Score
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Overall Score : 84 / 100







