We may earn an affiliate commission when you visit our partners.
Christopher Brooks
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/6hvp2w/python
Three deals to help you save
We found three deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until December 12
Annual Subscription Savings
Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.
Only $239!
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off
What's inside
Syllabus
The Python Imaging Library
Tesseract and Optical Character Recognition
Computer Vision with OpenCV
Read more
Syllabus
The Python Imaging Library
Tesseract and Optical Character Recognition
Computer Vision with OpenCV
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Fortifies knowledge in Python programming
Suitable for those who want to apply Python to image manipulation, optical character recognition, and computer vision
Requires some prior knowledge in Python programming, but also accommodates learners lacking real-world data-analysis experience
Emphasizes hands-on experience and practical application
Save this course
Save Python Project: pillow, tesseract, and opencv to your list so you can find it easily later:
Save
Save
Reviews summary
Python project: pillow, tesseract, and opencv
This course is a project-based course that teaches students how to use the Python libraries pillow, tesseract, and opencv to perform image processing tasks. The course is challenging, but students who complete it will have a strong foundation in image processing and be able to apply their skills to real-world problems.
learners say they learned a lot from this course, especially about image processing, Python libraries, and using documentation to solve problems.
"learners say they learned a lot from this course, especially about image processing, Python libraries, and using documentation to solve problems"
The course is challenging, but students who complete it will have a strong foundation in image processing and be able to apply their skills to real-world problems.
"The course is challenging, but students who complete it will have a strong foundation in image processing and be able to apply their skills to real-world problems."
The course is project-based, which means that students will be able to apply their skills to real-world problems.
"This course is a project-based course that teaches students how to use the Python libraries pillow, tesseract, and opencv to perform image processing tasks."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Python Project: pillow, tesseract, and opencv with these
activities:
Organize and Summarize Course Content
Show steps
Reinforce understanding by organizing and summarizing course materials.
Browse courses on
Note-Taking
Show steps
-
Review notes, assignments, and other course materials
-
Extract key concepts and summarize them in a structured format
-
Create flashcards or use other study techniques to aid memorization
Participate in Study Group Discussions
Show steps
Engage in peer discussions to clarify concepts and receive support.
Show steps
-
Join or form a study group with fellow learners
-
Discuss course materials, share notes, and resolve queries together
Engage in Group Discussions on Python Libraries
Show steps
Joining a peer group focused on Python libraries will provide you with opportunities to discuss concepts, ask questions, and gain from the experiences of others.
Browse courses on
Python
Show steps
-
Join a study group
-
Participate in discussions
-
Share your knowledge
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review Computer Vision
Show steps
Review essential concepts and algorithms in the field of Computer Vision.
View
Computer Vision
on Amazon
Show steps
-
Read chapters 1-3 and 10
-
Solve exercises and examples provided in the book
Solving Optical Character Recognition Problems with Tesseract
Show steps
Using Tesseract to perform optical character recognition will provide you with hands-on experience in applying this technique.
Browse courses on
Tesseract
Show steps
-
Install Tesseract
-
Load an image into Tesseract
-
Perform OCR on the image
-
Extract the recognized text
-
Save the recognized text
Attend an Image Processing Workshop
Show steps
Enhance skills and gain hands-on experience in image processing.
Show steps
-
Search and register for an image processing workshop
-
Follow along with demonstrations and practice exercises
-
Network with experts and fellow participants
Practice Python Imaging Library Image Manipulation
Show steps
Writing Python code to manipulate images will solidify your understanding of the library.
Show steps
-
Install the Python Imaging Library
-
Load an image into Python
-
Crop the image
-
Resize the image
-
Save the modified image
Practice Image Processing with Python
Show steps
Gain practical experience in image processing using the Python Imaging Library.
Show steps
-
Follow tutorials on image manipulation using PIL
-
Complete exercises and projects to apply image processing techniques
Learn OpenCV for Computer Vision
Show steps
Following tutorials on OpenCV will provide you with additional guidance and insights into computer vision techniques.
Browse courses on
OpenCV
Show steps
-
Install OpenCV
-
Load an image into OpenCV
-
Detect faces in the image
-
Draw bounding boxes around the faces
-
Display the image
Solve OCR Challenges
Show steps
Develop proficiency in using Tesseract and PyTesseract for OCR tasks.
Browse courses on
Tesseract
Show steps
-
Install and set up Tesseract and PyTesseract on a computer
-
Practice OCR on various images with different text fonts and sizes
-
Fine-tune OCR accuracy by experimenting with Tesseract parameters
Build a Python Project Using the Python Imaging Library, Tesseract, and OpenCV
Show steps
By constructing a data analysis project, you can showcase your proficiency in these technologies and deepen your understanding of the real-world applications of these libraries.
Browse courses on
Python
Show steps
-
Brainstorm a project idea
-
Gather the necessary data
-
Write the Python code
-
Test and debug the code
-
Present your project findings
Contribute to an Open Source Computer Vision Project
Show steps
Contribute to the open source community and gain hands-on experience.
Show steps
-
Identify a suitable open source project related to Computer Vision
-
Read the project documentation and familiarize with its codebase
-
Suggest improvements, report bugs, or work on new features
Organize and Summarize Course Content
Show steps
Reinforce understanding by organizing and summarizing course materials.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Review notes, assignments, and other course materials
- Extract key concepts and summarize them in a structured format
- Create flashcards or use other study techniques to aid memorization
Participate in Study Group Discussions
Show steps
Engage in peer discussions to clarify concepts and receive support.
Show steps
Show steps
Show steps
- Join or form a study group with fellow learners
- Discuss course materials, share notes, and resolve queries together
Engage in Group Discussions on Python Libraries
Show steps
Joining a peer group focused on Python libraries will provide you with opportunities to discuss concepts, ask questions, and gain from the experiences of others.
Browse courses on
Python
Show steps
Show steps
Show steps
- Join a study group
- Participate in discussions
- Share your knowledge
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review Computer Vision
Show steps
Review essential concepts and algorithms in the field of Computer Vision.
View
Computer Vision
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 and 10
- Solve exercises and examples provided in the book
Solving Optical Character Recognition Problems with Tesseract
Show steps
Using Tesseract to perform optical character recognition will provide you with hands-on experience in applying this technique.
Browse courses on
Tesseract
Show steps
Show steps
Show steps
- Install Tesseract
- Load an image into Tesseract
- Perform OCR on the image
- Extract the recognized text
- Save the recognized text
Attend an Image Processing Workshop
Show steps
Enhance skills and gain hands-on experience in image processing.
Show steps
Show steps
Show steps
- Search and register for an image processing workshop
- Follow along with demonstrations and practice exercises
- Network with experts and fellow participants
Practice Python Imaging Library Image Manipulation
Show steps
Writing Python code to manipulate images will solidify your understanding of the library.
Show steps
Show steps
Show steps
- Install the Python Imaging Library
- Load an image into Python
- Crop the image
- Resize the image
- Save the modified image
Practice Image Processing with Python
Show steps
Gain practical experience in image processing using the Python Imaging Library.
Show steps
Show steps
Show steps
- Follow tutorials on image manipulation using PIL
- Complete exercises and projects to apply image processing techniques
Learn OpenCV for Computer Vision
Show steps
Following tutorials on OpenCV will provide you with additional guidance and insights into computer vision techniques.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Install OpenCV
- Load an image into OpenCV
- Detect faces in the image
- Draw bounding boxes around the faces
- Display the image
Solve OCR Challenges
Show steps
Develop proficiency in using Tesseract and PyTesseract for OCR tasks.
Browse courses on
Tesseract
Show steps
Show steps
Show steps
- Install and set up Tesseract and PyTesseract on a computer
- Practice OCR on various images with different text fonts and sizes
- Fine-tune OCR accuracy by experimenting with Tesseract parameters
Build a Python Project Using the Python Imaging Library, Tesseract, and OpenCV
Show steps
By constructing a data analysis project, you can showcase your proficiency in these technologies and deepen your understanding of the real-world applications of these libraries.
Browse courses on
Python
Show steps
Show steps
Show steps
- Brainstorm a project idea
- Gather the necessary data
- Write the Python code
- Test and debug the code
- Present your project findings
Contribute to an Open Source Computer Vision Project
Show steps
Contribute to the open source community and gain hands-on experience.
Show steps
Show steps
Show steps
- Identify a suitable open source project related to Computer Vision
- Read the project documentation and familiarize with its codebase
- Suggest improvements, report bugs, or work on new features
Career center
Learners who complete Python Project: pillow, tesseract, and opencv will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers work on developing and implementing computer vision systems, which allow computers to see, interpret, and understand images and videos. This course can help aspiring Computer Vision Engineers build a strong foundation in image processing and analysis techniques, which are essential for success in this field. The course covers topics such as image manipulation, optical character recognition, and face detection using OpenCV, all of which are widely used in computer vision applications.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. This course can help aspiring Data Scientists develop the skills they need to work with image data, which is becoming increasingly common in many industries. The course covers topics such as image manipulation, optical character recognition, and computer vision, which are all essential for working with image data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers work on developing and implementing machine learning models, which can be used for a variety of tasks, such as image classification, object detection, and natural language processing. This course can help aspiring Machine Learning Engineers build a strong foundation in image processing and analysis techniques, which are essential for working with image data. The course covers topics such as image manipulation, optical character recognition, and computer vision, all of which are widely used in machine learning applications.
Image Processing Engineer
Image Processing Engineer
Image Processing Engineers work on developing and implementing image processing systems, which are used in a variety of applications, such as medical imaging, security, and manufacturing. This course can help aspiring Image Processing Engineers build a strong foundation in image processing techniques, including image manipulation, optical character recognition, and computer vision. These skills are essential for success in this field.
Software Engineer
Software Engineer
With the rapid growth of digital technologies, Software Engineers are in high demand. This course may be useful for aspiring Software Engineers who want to develop their skills in image processing and computer vision. These skills are becoming increasingly important in many industries, such as healthcare, manufacturing, and retail.
User Experience (UX) Designer
User Experience (UX) Designer
UX Designers work on creating user interfaces that are both effective and enjoyable to use. This course may be useful for aspiring UX Designers who want to develop their skills in image processing and computer vision. These skills can be used to create more visually appealing and user-friendly interfaces.
Web Developer
Web Developer
Web Developers work on designing and developing websites and web applications. This course may be useful for aspiring Web Developers who want to develop their skills in image processing and computer vision. These skills can be used to create more visually appealing and interactive websites and web applications.
Information Security Analyst
Information Security Analyst
Information Security Analysts work on protecting computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for aspiring Information Security Analysts who want to develop their skills in image processing and computer vision. These skills can be used to detect and prevent security breaches.
Data Analyst
Data Analyst
Data Analysts work on collecting, cleaning, and analyzing data to help businesses make better decisions. This course may be useful for aspiring Data Analysts who want to develop their skills in image processing and computer vision. These skills can be used to analyze image data, which is becoming increasingly common in many industries.
Business Analyst
Business Analyst
Business Analysts work on defining, documenting, and analyzing business requirements. This course may be useful for aspiring Business Analysts who want to develop their skills in image processing and computer vision. These skills can be used to analyze business processes and identify opportunities for improvement.
Project Manager
Project Manager
Project Managers work on planning, executing, and closing projects. This course may be useful for aspiring Project Managers who want to develop their skills in image processing and computer vision. These skills can be used to manage projects that involve image data or computer vision technologies.
Technical Writer
Technical Writer
Technical Writers work on creating documentation for technical products and services. This course may be useful for aspiring Technical Writers who want to develop their skills in image processing and computer vision. These skills can be used to create more visually appealing and informative documentation.
Photographer
Photographer
Photographers work on taking pictures of people, places, and things. This course may be useful for aspiring Photographers who want to develop their skills in image processing and computer vision. These skills can be used to enhance and edit photos, as well as create new and innovative images.
Graphic designer
Graphic designer
Graphic Designers work on creating visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. This course may be useful for aspiring Graphic Designers who want to develop their skills in image processing and computer vision. These skills can be used to create more visually appealing and engaging designs.
Marketing Manager
Marketing Manager
Marketing Managers work on developing and executing marketing campaigns to promote products and services. This course may be useful for aspiring Marketing Managers who want to develop their skills in image processing and computer vision. These skills can be used to create more visually appealing and effective marketing campaigns.
For more career information including salaries, visit:
OpenCourser.com/course/6hvp2w/python
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Python Project: pillow, tesseract, and opencv.
Save
Covers the fundamentals of computer vision using OpenCV, a widely-used library for image processing and computer vision tasks. It provides both theoretical explanations and practical examples, making it a comprehensive resource for those interested in this field.
Provides a comprehensive overview of image processing and analysis techniques using OpenCV. It covers both fundamental concepts and advanced topics, making it a valuable resource for those who want to delve deeper into image processing.
This classic textbook provides a comprehensive introduction to digital image processing, covering the fundamental concepts, algorithms, and applications. It serves as a valuable reference for those seeking a deeper understanding of the field.
Focuses on providing a solid foundation in image processing techniques for computer vision applications. It covers topics such as image enhancement, filtering, segmentation, and feature extraction, making it a valuable resource for those who want to build a strong foundation in image processing.
While this book focuses primarily on data analysis, it also covers the use of NumPy for image processing tasks. It provides a solid understanding of data manipulation and analysis techniques that can be useful for those working with images.
This textbook provides a comprehensive and up-to-date overview of computer vision. While it may be a more advanced text, it offers a deep understanding of the theoretical foundations and state-of-the-art techniques used in the field.
Save
Offers a comprehensive overview of computer vision algorithms and their applications. While it may be a more advanced text, it provides a deep understanding of the underlying principles and techniques used in the field.
Offers a comprehensive overview of optical character recognition (OCR) systems. While it may be more advanced than the course's scope, it provides a deep understanding of the principles and techniques used in OCR.
Save
Introduces machine learning techniques for computer vision applications. While it may be more advanced than the course's scope, it provides a comprehensive overview of the state-of-the-art in machine learning for computer vision.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6hvp2w/python
Share
Similar courses
Here are nine courses similar to
Python Project: pillow, tesseract, and opencv.
Python Classes and Inheritance
OpenCourser.com/course/jjzqcn/python
Python Classes and Inheritance
Most relevant
Pandas for Data Science
OpenCourser.com/course/h67xp9/pandas
Pandas for Data Science
Most relevant
Data Collection and Processing with Python
OpenCourser.com/course/mond3r/data
Data Collection and Processing with Python
Python Programming Essentials
OpenCourser.com/course/p990g3/python
Python Programming Essentials
Python Data Analytics
OpenCourser.com/course/3wfaut/python
Python Data Analytics
Java Class Library
OpenCourser.com/course/sdubvb/java
Java Class Library
Python Basics
OpenCourser.com/course/fzsd91/python
Python Basics
Python Functions, Files, and Dictionaries
OpenCourser.com/course/hjiesr/python
Python Functions, Files, and Dictionaries
Master Network Automation with Python for Network Engineers
OpenCourser.com/course/i1ijn9/master
Master Network Automation with Python for Network...
Level
Intermediate
Via
Coursera
Institution
University of Michigan
Instructor
Christopher Brooks
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
Svenska
Pусский
Türkçe
Polski
Ελληνικά
українська мова
magyar nyelv
Bahasa Indonesia
ไทย
қазақша
اُردُو,
فارسی
বাংলা
tiếng Việt
پښتو
آذربایجان دیلی
This course belongs to a
collection
called
Python 3 Programming. It's comprised of five courses:
- Data Collection and Processing with Python
- Python Project: pillow, tesseract, and opencv (viewing)
- Python Classes and Inheritance
- Python Functions, Files, and Dictionaries
- Python Basics
Good to know
Fortifies knowledge in Python programming
Suitable for those who want to apply Python to image manipulation, optical character recognition, and computer vision
Requires some prior knowledge in Python programming, but also accommodates learners lacking real-world data-analysis experience
Emphasizes hands-on experience and practical application
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser