Chevron Left
Volver a Computer Vision - Object Tracking with OpenCV and Python

Opiniones y comentarios de aprendices correspondientes a Computer Vision - Object Tracking with OpenCV and Python por parte de Rhyme

4.0
estrellas
89 calificaciones
22 revisiones

Acerca del Curso

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....
Filtrar por:

1 - 25 de 25 revisiones para Computer Vision - Object Tracking with OpenCV and Python

por Mohan G V

May 10, 2020

need more explanation

por 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.

por Anil K A

Apr 28, 2020

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

por purnachand k

May 12, 2020

Great Learning

por Team

May 27, 2020

just right!!

por Ashish K

May 09, 2020

awesome

por Oktavian Y P

May 18, 2020

nice

por SOUMYA P

May 24, 2020

Grt

por Lenisha s

May 20, 2020

NA

por Shelukha O

Apr 24, 2020

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

por pratik k

May 01, 2020

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

por sagar h

Apr 25, 2020

Need more explanation of functional libraries.

por SHUBHAM S J

Apr 28, 2020

provide with maths of optical flow

por Lalit K

May 07, 2020

I will understand your course

por Md. F A

May 06, 2020

This course is enjoyable.

por Farzeen F F

May 02, 2020

Good

por Urvish k N

May 14, 2020

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

por Pham T L

Apr 22, 2020

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

por Trakshay b

May 22, 2020

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

por Shekhar k

May 25, 2020

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

por Asavari A S

May 12, 2020

Certificate

por 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.

por 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

por 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

por Robinson P P

May 20, 2020

Instructor should share the materials with codes for effective Teaching and Learning.