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Retour à Computer Vision - Object Tracking with OpenCV and Python

Avis et commentaires pour d'étudiants pour Computer Vision - Object Tracking with OpenCV and Python par Coursera Project Network

101 évaluations
26 avis

À propos du cours

In this 1-hour long project-based course, you will learn how to do Computer Vision Object Tracking from Videos. At the end of the project, you'll have learned how Optical and Dense Optical Flow work, how to use MeanShift and CamShist and how to do a Single and a Multi-Object Tracking. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should have a fundamental knowledge of Python and OpenCV. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 25 sur 26 Avis pour Computer Vision - Object Tracking with OpenCV and Python

par Mohan G V

May 10, 2020

need more explanation

par Atharva V S

Apr 22, 2020

Really helpful. As we have code by ourselves,we get whole intuition behind working any algorithm and also the video was such that all related doubt was cleared by watching it.

par Anil K A

Apr 28, 2020

These online courses are very helpful to me to upgrade my skills

par purnachand k

May 12, 2020

Great Learning

par Team

May 27, 2020

just right!!

par Ashish K

May 09, 2020


par Oktavian Y P

May 18, 2020



May 24, 2020


par Lenisha s

May 20, 2020


par Shelukha O

Apr 24, 2020

Course is good and interesting, but the workspace leaves much to be desired.

par pratik k

May 01, 2020

put your efforts to it, then only it is usefull.

par sagar h

Apr 25, 2020

Need more explanation of functional libraries.


Apr 28, 2020

provide with maths of optical flow

par Lalit K

May 07, 2020

I will understand your course

par Md. F A

May 06, 2020

This course is enjoyable.

par Farzeen F F

May 02, 2020


par Urvish k N

May 14, 2020

Need to improve the voice quality of video. on the other side the project explanantion is very good.

par Pham T L

Apr 22, 2020

Very bad working and learning space! But the content is good, but it is not unique!

par Trakshay b

May 22, 2020

too much lag and it needs some additional object tracking like using webcam too


May 29, 2020

A few errors in the codes, that were not rectified by the instructor

par Shekhar k

May 25, 2020

it was a really nice course but it has a lot of room for improvement

par Asavari A S

May 12, 2020


par Matam N

Apr 27, 2020

No explanations of the code .Even though there is nothing new to the code for optical flow and dense flow (it was identical to opencv tutorial code except change in variable names) the instructor just typed the code not explaining the concepts which goes against what is in the goals of the project.I enrolled in this because it was free for me through my college.I strongly feel that it is not worth paying and enrolling in this.

par Sahil A S

Apr 28, 2020

Very Less explanation about the methods we are using. Not useful at all if we have to google and read everything. Had foundation about opencv, yet had to google about parameters which are passed in the methods

par Dinesh K

May 25, 2020

the parameters used in this course is just too old and cannot compile the code and there was no theory behind it and just the code and explanation of the code would have been better. overall just right