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Bewertung und Feedback des Lernenden für Python Project: pillow, tesseract, and opencv von University of Michigan

1,721 Bewertungen

Über den Kurs

This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course. This is the fifth and final course in the Python 3 Programming Specialization....



23. Juni 2020

This last course is much more challenging than the prior four, but provides a very good launch pad for taking what you've learned and getting you actually using the skills in building Python code.


1. Apr. 2021

This course gave great insight in how to approach a new library which I believe is one of the most powerful skills a programmer can have. Keep up the great work that you guys have been doing.

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151 - 175 von 430 Bewertungen für Python Project: pillow, tesseract, and opencv

von Emanuele T

2. Sep. 2019

Awesome course as a finishing part of the specialization, with incredibly interesting assignments!

von Guoping X

23. Okt. 2021

I​ hope this course will be longer and go more indepth with the libraries here and even more


26. Sep. 2020

Excellent course to learn about python libraries and how to implement them in your projects.

von Federico R

14. Okt. 2020

Excellent course, very well explained, with external tools to put everything into practice

von Carlos D C O

5. Mai 2021

good to get started in Computer Vision learning basic concepts of image dealing with PIL

von Xinyuan G

15. Mai 2020

The final project is a fair challenge because everything needed has been introduced!

von Enam B

12. Aug. 2020

Very Interesting course. Learned a lot during this course 5 of the specialization.

von Juergen B

16. Jan. 2021

Gives good insight how to deal with images, to extract text and recognize faces.

von Juan F F M

29. Sep. 2020

this specialization was the best thing that could happen to me on this pandemic

von sushant k

9. Feb. 2020

It was really helpful. Moreover, this course teaches us how to learn ourselves.

von Madeline L

31. Aug. 2021

Highly recommend. Fantastic learning environment with real-world application.

von ahmet y

25. Dez. 2020

it was a little bit challenging but loved it. Thanks for all of your efforts.

von Shailendra S

19. Mai 2020

This is the Best Hands-on Capstone Project I've encountered. Great Content.

von Desale F

2. Juli 2020

This course is very nice for beginners to be familiar with python modules.

von Aleksandr S

12. Juli 2019

Было сложно, но этот блок курса учит самостоятельно разбираться в модулях.

von Evgeny C

27. Jan. 2020

Interesting course, but Coursera's Jupyter environment isn't very robust.

von Arturo J d l T

21. Dez. 2020

Great program I will take other ones from the same university.

von Conrad C

18. März 2020

Great and detailed, lots of useful exercises and clear videos.


25. Aug. 2021

Very challenging and interesting course. Long life to Python!

von ashishkumar s

14. Sep. 2021

​nice course to explore you knowledge into image processing

von Diego F G R

8. Mai 2021

this course is very intereting specialy the final project

von Jacky C

10. März 2020

Great course! It is more challenging than previous ones.

von Syed H A

11. Okt. 2020

Excellent course except for the peer grade assignment

von Luai D

24. Juli 2022

best course for python3, can't wait for the next one

von Muhammad E

23. Sep. 2020

really nice course to get started on computer vision