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Python Programming Specialization For Beginners | Python Full Course [Course #5 of 5]
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This is the fifth and final course in the Python 3 Programming Specialization.
🕑TIME STAMP
THE PYTHON IMAGING LIBRARY
0:00:00 Welcome to Python project pillow ,Tesseract and OpenCV
0:27:07 The Python Imaging Library
0:59:24 Week one Assignment
TESSERACT AND OPTICAL CHARACTER RECOGNITION
1:01:31 Tesseract
COMPUTER VISION WITH OPENCV
1:42:26 Computer Vision With OpenCV
2:33:31 Project
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.
⭐ Important Notes ⭐
⌨️ The creator of this course is University of Michigan is licensed under CC BY
⌨️ For earning certificate, enroll for this course here:
#python #machinelearning #webdevelopment
🕑TIME STAMP
THE PYTHON IMAGING LIBRARY
0:00:00 Welcome to Python project pillow ,Tesseract and OpenCV
0:27:07 The Python Imaging Library
0:59:24 Week one Assignment
TESSERACT AND OPTICAL CHARACTER RECOGNITION
1:01:31 Tesseract
COMPUTER VISION WITH OPENCV
1:42:26 Computer Vision With OpenCV
2:33:31 Project
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.
⭐ Important Notes ⭐
⌨️ The creator of this course is University of Michigan is licensed under CC BY
⌨️ For earning certificate, enroll for this course here:
#python #machinelearning #webdevelopment