Chevron Left
Retour à Python Project: pillow, tesseract, and opencv

Avis et commentaires pour l'étudiant pour Python Project: pillow, tesseract, and opencv par Université du Michigan

4.3
196 notes
31 avis

À propos du cours

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....

Meilleurs avis

Filtrer par :

26 - 31 sur 31 Examens pour Python Project: pillow, tesseract, and opencv

par Amin O

Aug 22, 2019

Interesting Course! Thanks Brook.

par Suresh C

Aug 29, 2019

Although learning image processing packages are useful, they are not of importance to me. Also, this course made it very difficult to submit final project. There is very little support from instructors or teaching assistants on the discussion forums. Needs to do a better job.

par Igor F

Jun 23, 2019

I was one of those who completed four previous courses in the Specialization in February 2019 and was forced to wait this last course to finish this Specialization. It took a long time, so I’m already forgot a lot from what I learned to the date when I started this course.

Other courses in the Specialization were guiding you almost step-by-step. This course makes you to do a lot of things by yourself. Of course, there are lecture videos, but they show you some examples, not explain thoroughly every step of your future assignment. For some of learners it presents a huge gap in the learning process. Also, it raises such questions like “For what reason there are lectures if you need to solve a lot for yourself?”. Well, I think that they give you some direction to go in; give some insight how to deal with tasks that you encounter in this course. At the same time, this creates for each learner some kind of creative freedom. Those assignments of others that I saw during my reviews were unique. I also learned a lot from them.

The sad part is I needed to spent more time to figure out how to put everything together, so due to my busy life I spent 5 weeks instead of proposed 3. Also, the video about installation of Jupyter Notebooks on your computer is broken. It clearly shows you that suggested command to activate a programming environment doesn’t work and gives an error. Should also figure out everything by yourself with googling.

Nevertheless, my overall opinion is: if you want to be able to fully express yourself in the code and be able to use everything that you learned and know in Python, go for this course.

par Yongjian F

Jul 12, 2019

The Peer-review project is not well designed. The instruction about what to submit is misleading. Students are confused about what to submit, uploading a PDF like before, or pasting the whole HTML file?

This becomes clear only after you submit and start to review peer's submission. Students are supposed to copy and paste their code into the submission window. But there is a BIG problem of this approach. The pasted code lose all the formatting, and python relies on formatting. Even if I want to copy a peer's codes and try to run them in Jupyter, the codes are all messed up. There is no way to figure out what my classmate wants to do.

par Lukas F

May 27, 2019

not worth the Money, i am a bit disapointed. but still learned much but not because of the course instructions.

par Siu K P L

Jun 14, 2019

I think the material was not so interesting. At least it didn't make me feel like working on it. The lecturer keeps reading stuff from he pre-written text.