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Computer Vision with Python

Learn the latest techniques in computer vision with Python and OpenCV!
4.5
4.5/5
(301 reviews)
77,687 students
Created by

8.1

CourseMarks Score®

7.9

Freshness

8.0

Feedback

7.7

Content

Platform: Udemy
Video: 6h 16m
Language: English
Next start: On Demand

Top Computer Vision courses:

Detailed Analysis

CourseMarks Score®

8.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

7.9 / 10
This course was last updated on 8/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.0 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.7 / 10
Video Score: 8.5 / 10
The course includes 6h 16m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 08 minutes of 36 Computer Vision courses on Udemy.
Detail Score: 9.1 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Welcome to the ultimate online course on Python for Computer Vision!
This course is your best resource for learning how to use the Python programming language for Computer Vision.
We’ll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.
The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever it’s necessary for developers to gain the necessary skills to work with image and video data using computer vision.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
In this course, we’ll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
We’ll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we’ll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.

You will learn

✓ Manipulate and open Images with NumPy
✓ Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
✓ Use OpenCV to work with image files
✓ Draw shapes on images and videos with OpenCV

Requirements

• Access to a computer with an internet connection.
• Basic python programming
• Some programming experience
• WebCam if you want to learn the video streaming content
• Must have Install Permissions on Computer

This course is for

• Python Developers interested in Computer Vision and Deep Learning
• BSC, BCA, MCA, Btech, MSC and IT Students or proffesional
• Anyone interested in Computer Vision or Artificial Intelligence

How much does the Computer Vision with Python course cost? Is it worth it?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $14.7 of 36 Computer Vision courses. So this course is 2% more expensive than the average Computer Vision course on Udemy.

Does the Computer Vision with Python course have a money back guarantee or refund policy?

YES, Computer Vision with Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Computer Vision with Python course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who is the instructor? Is Code Warriors a SCAM or a TRUSTED instructor?

Code Warriors has created 9 courses that got 4,285 reviews which are generally positive. Code Warriors has taught 281,404 students and received a 4.1 average review out of 4,285 reviews. Depending on the information available, Code Warriors is a TRUSTED instructor.
The best place to learn, code and conquer – Once you have it
Hi, We are Code Warriors an E learning organisation . This is our Udemy Handle where we will provide you some awesome courses with very basic price. The courses will be very much informative and you will enjoy a lot. We focus on your learning in an enjoying manner so you don’t get bored.
Browse all courses by on Coursemarks.

8.1

CourseMarks Score®

7.9

Freshness

8.0

Feedback

7.7

Content

Platform: Udemy
Video: 6h 16m
Language: English
Next start: On Demand

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