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Volver a Python Project: pillow, tesseract, and opencv

Opiniones y comentarios de aprendices correspondientes a Python Project: pillow, tesseract, and opencv por parte de Universidad de Míchigan

4.0
estrellas
1,664 calificaciones
408 reseña

Acerca del Curso

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....

Principales reseñas

PM
23 de jun. de 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.

RF
1 de abr. de 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 de 408 revisiones para Python Project: pillow, tesseract, and opencv

por Enam B

12 de ago. de 2020

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

por Juergen B

16 de ene. de 2021

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

por Juan F F M

29 de sep. de 2020

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

por sushant k

9 de feb. de 2020

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

por Madeline L

31 de ago. de 2021

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

por ahmet y

25 de dic. de 2020

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

por Shailendra S

19 de may. de 2020

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

por Desale F

2 de jul. de 2020

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

por Shugaev A P

12 de jul. de 2019

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

por Evgeny C

27 de ene. de 2020

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

por Arturo J d l T

21 de dic. de 2020

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

por Conrad C

18 de mar. de 2020

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

por PICCININI G

25 de ago. de 2021

Very challenging and interesting course. Long life to Python!

por ashishkumar s

14 de sep. de 2021

​nice course to explore you knowledge into image processing

por Diego F G R

8 de may. de 2021

this course is very intereting specialy the final project

por chia-nan c

10 de mar. de 2020

Great course! It is more challenging than previous ones.

por Syed H A

11 de oct. de 2020

Excellent course except for the peer grade assignment

por Muhammad E

23 de sep. de 2020

really nice course to get started on computer vision

por ADITYA P

27 de ago. de 2020

Very nice course for beginner to understand python.

por Brandon E

23 de jun. de 2020

Very informative and great instruction throughout!

por Santiago C

19 de sep. de 2020

This is a really challenger cource and very good

por Ioanna K

7 de abr. de 2021

Helped me to get started with image processing.

por PAMARTHI K

9 de oct. de 2020

Thank you for offering such a wonderful courses

por Nguyên B

16 de ago. de 2021

More confidence when you know what's going on

por Egor S

10 de ago. de 2020

Very useful course? but very poor peer review