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Learner Reviews & Feedback for Python Project: pillow, tesseract, and opencv by University of Michigan

4.0
stars
1,909 ratings

About the Course

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....

Top reviews

PM

Jun 23, 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

Apr 1, 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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326 - 350 of 490 Reviews for Python Project: pillow, tesseract, and opencv

By AJINIYAZ D T

Jun 22, 2023

raxmet

By Nahim O

Apr 17, 2020

great!

By Akaboyev E A

Jan 4, 2024

class

By ABHISHEK S

Sep 23, 2023

mk,,m

By Kalyani

May 24, 2020

great

By Seelam S

May 11, 2020

good!

By Azizbek S

Mar 7, 2024

okey

By teshan d

Jul 9, 2021

good

By Ankit K G

Oct 25, 2020

good

By Souhardya G

Sep 13, 2020

Good

By Mohit S

Aug 17, 2020

good

By Thanannop W

Jul 30, 2020

Good

By swarupa i

Jul 21, 2020

Nice

By virinchi g

Jun 16, 2020

good

By Rifat R

May 14, 2020

Well

By Tammireddy S

Aug 17, 2019

Good

By Sui X

May 31, 2019

good

By Islambek J P

Jun 27, 2023

wow

By Thilina P

Jul 26, 2021

Wow

By Anvarjon D

Mar 4, 2024

OK

By SOLIYEV S S O

Nov 29, 2023

ok

By William P

Nov 29, 2019

Dd

By AARYAN S

Oct 5, 2023

.

By AYUSH K

Jun 28, 2021

By Kostas G

Dec 9, 2020

Overall this is a good intro course to OCR using python. I was looking forward to this from the get-go of the specialization and it feels that i'm walking away with some understanding of the capabilities and the possibilities. that's great.

One comment regarding the presentation material - i thought the delivery was pretty dry. There was absolutely no difference between the oral and written material. this is in principle a good thing BUT not when there's info lacking. For instance we're at the PIL discussion and the comment is "I think that Image looks interesting"...well ok but why do you think that? what makes you think it's interesting. I've read the material first as per recommendation so I was hoping to get some insight as to why you chose one over any other...but nah. I don't know how difficult it would be for you to address this or you may choose to ignore it altogether but i've figured i should share since you're asking for feedback.

There are a couple of things i've found fairly annoying and it would seem to me that they can easily be addressed.

looking for image.zip for the last assignment -- I spent at least a couple of hours trying to find a copy of the image.zip file. I ended up downloading the py3.zip of 2 years ago or so. This is wasted time not time well spent. Why can this not be a link to the description of the assignment, meaning "go to the appropriate google share and download py3.zip", since the existing links to image.zip seem to be perpetually broken.

Kraken does not run on Windows -- this came as a surprise; not your fault but it's important enough to be posted up front so folks with windows machines, like me, can get their setup going. it takes time to setup a docker container with the python development environment etc to make it useful.