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This course is a part of the Self-Driving Car Engineer Nanodegree Program.
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This course is a part of the Self-Driving Car Engineer Nanodegree Program.
Read more
This course is a part of the Self-Driving Car Engineer Nanodegree Program.
Use OpenCV to extract information from images. Start with basic camera physics and work your way up to sophisticated machine learning tools like support vector machines, all with the goal of learning how to understand the world around us from camera images.
Register for this course and see more details by visiting:
OpenCourser.com/course/9k7x6d/udacity
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Explores the use of OpenCV for image analysis, a common tool in computer vision and robotics
Delves into machine learning algorithms like support vector machines for image classification, a crucial technique in areas like object detection and facial recognition
Provides a comprehensive understanding of computer vision, a foundational field in artificial intelligence and robotics
Requires proficiency in Python and familiarity with basic camera physics, setting a higher barrier to entry
Part of a larger Nanodegree Program, indicating a deeper dive into self-driving car engineering
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Save Self-Driving Car Engineer - Computer Vision to your list so you can find it easily later:
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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 Self-Driving Car Engineer - Computer Vision with these
activities:
Review 'Computer Vision: Algorithms and Applications'
Show steps
Provide a comprehensive overview of computer vision concepts and algorithms.
View
Computer Vision
on Amazon
Show steps
-
Read the book's introduction and first chapter
-
Review the key concepts and algorithms in each chapter
-
Solve the practice problems at the end of each chapter
Join an OpenCV study group
Show steps
Facilitate collaboration and knowledge sharing among students.
Show steps
-
Find an existing OpenCV study group or start your own
-
Meet regularly to discuss OpenCV topics
-
Work on projects together
Follow OpenCV tutorials
Show steps
Provide step-by-step instructions for specific OpenCV tasks.
Show steps
-
Find OpenCV tutorials on topics of interest
-
Follow the tutorials step-by-step
-
Apply the techniques learned to your own projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using OpenCV functions
Show steps
Help solidify understanding of OpenCV functions and syntax.
Show steps
-
Install OpenCV and a Python IDE
-
Load an image into OpenCV
-
Display the image using OpenCV
-
Apply image processing functions, such as blurring, sharpening, and edge detection
Create an OpenCV project
Show steps
Allow students to apply their OpenCV skills to real-world problems.
Show steps
-
Identify a problem that can be solved using OpenCV
-
Design and develop an OpenCV solution
-
Test and evaluate the solution
-
Showcase the project to others
Participate in an OpenCV competition
Show steps
Provide a challenging and engaging way to apply OpenCV skills.
Show steps
-
Find an OpenCV competition that aligns with your interests
-
Develop a solution to the competition problem
-
Submit your solution and compete against others
Contribute to an OpenCV open-source project
Show steps
Provide an opportunity to contribute to the OpenCV community.
Show steps
-
Find an OpenCV project that interests you
-
Identify a way to contribute to the project
-
Submit your contribution and get it reviewed
Review 'Computer Vision: Algorithms and Applications'
Show steps
Provide a comprehensive overview of computer vision concepts and algorithms.
View
Computer Vision
on Amazon
Show steps
Show steps
Show steps
- Read the book's introduction and first chapter
- Review the key concepts and algorithms in each chapter
- Solve the practice problems at the end of each chapter
Join an OpenCV study group
Show steps
Facilitate collaboration and knowledge sharing among students.
Show steps
Show steps
Show steps
- Find an existing OpenCV study group or start your own
- Meet regularly to discuss OpenCV topics
- Work on projects together
Follow OpenCV tutorials
Show steps
Provide step-by-step instructions for specific OpenCV tasks.
Show steps
Show steps
Show steps
- Find OpenCV tutorials on topics of interest
- Follow the tutorials step-by-step
- Apply the techniques learned to your own projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using OpenCV functions
Show steps
Help solidify understanding of OpenCV functions and syntax.
Show steps
Show steps
Show steps
- Install OpenCV and a Python IDE
- Load an image into OpenCV
- Display the image using OpenCV
- Apply image processing functions, such as blurring, sharpening, and edge detection
Create an OpenCV project
Show steps
Allow students to apply their OpenCV skills to real-world problems.
Show steps
Show steps
Show steps
- Identify a problem that can be solved using OpenCV
- Design and develop an OpenCV solution
- Test and evaluate the solution
- Showcase the project to others
Participate in an OpenCV competition
Show steps
Provide a challenging and engaging way to apply OpenCV skills.
Show steps
Show steps
Show steps
- Find an OpenCV competition that aligns with your interests
- Develop a solution to the competition problem
- Submit your solution and compete against others
Contribute to an OpenCV open-source project
Show steps
Provide an opportunity to contribute to the OpenCV community.
Show steps
Show steps
Show steps
- Find an OpenCV project that interests you
- Identify a way to contribute to the project
- Submit your contribution and get it reviewed
Career center
Learners who complete Self-Driving Car Engineer - Computer Vision will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers are responsible for developing and implementing computer vision systems, which are used in a variety of applications, such as self-driving cars, medical imaging, and robotics. This course provides a comprehensive overview of the field of computer vision, covering topics such as image processing, feature extraction, and machine learning. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to develop and implement computer vision systems that can solve real-world problems.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and implementing machine learning models, which are used in a variety of applications, such as self-driving cars, facial recognition, and natural language processing. This course provides a comprehensive overview of the field of machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to develop and implement machine learning models that can solve real-world problems.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data, which is used to make informed decisions. This course provides a comprehensive overview of the field of data science, covering topics such as data mining, machine learning, and statistics. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to collect, analyze, and interpret data to make informed decisions.
Robotics Engineer
Robotics Engineer
Robotics Engineers are responsible for designing, building, and testing robots. This course provides a comprehensive overview of the field of robotics, covering topics such as мехатроника, control systems, and artificial intelligence. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, build, and test robots that can solve real-world problems.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and testing software. This course provides a comprehensive overview of the field of software engineering, covering topics such as software design, software development, and software testing. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test software applications.
Electrical Engineer
Electrical Engineer
Electrical Engineers are responsible for designing, developing, and testing electrical systems. This course provides a comprehensive overview of the field of electrical engineering, covering topics such as circuit analysis, electronics, and power systems. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test electrical systems.
Mechanical Engineer
Mechanical Engineer
Mechanical Engineers are responsible for designing, developing, and testing mechanical systems. This course provides a comprehensive overview of the field of mechanical engineering, covering topics such as мехатроника, thermodynamics, and fluid mechanics. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test mechanical systems.
Civil Engineer
Civil Engineer
Civil Engineers are responsible for designing, developing, and testing civil engineering systems. This course provides a comprehensive overview of the field of civil engineering, covering topics such as structural engineering, transportation engineering, and environmental engineering. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test civil engineering systems.
Chemical Engineer
Chemical Engineer
Chemical Engineers are responsible for designing, developing, and testing chemical engineering systems. This course provides a comprehensive overview of the field of chemical engineering, covering topics such as chemical processes, chemical products, and chemical plants. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test chemical engineering systems.
Biomedical Engineer
Biomedical Engineer
Biomedical Engineers are responsible for designing, developing, and testing biomedical engineering systems. This course provides a comprehensive overview of the field of biomedical engineering, covering topics such as biomaterials, biomechanics, and medical devices. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test biomedical engineering systems.
Aerospace Engineer
Aerospace Engineer
Aerospace Engineers are responsible for designing, developing, and testing aerospace engineering systems. This course provides a comprehensive overview of the field of aerospace engineering, covering topics such as aerodynamics, propulsion, and astronautics. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test aerospace engineering systems.
Nuclear Engineer
Nuclear Engineer
Nuclear Engineers are responsible for designing, developing, and testing nuclear engineering systems. This course provides a comprehensive overview of the field of nuclear engineering, covering topics such as nuclear physics, nuclear materials, and nuclear power plants. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test nuclear engineering systems.
Environmental Engineer
Environmental Engineer
Environmental Engineers are responsible for designing, developing, and testing environmental engineering systems. This course provides a comprehensive overview of the field of environmental engineering, covering topics such as environmental pollution, environmental remediation, and environmental management. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test environmental engineering systems.
Industrial Engineer
Industrial Engineer
Industrial Engineers are responsible for designing, developing, and testing industrial engineering systems. This course provides a comprehensive overview of the field of industrial engineering, covering topics such as industrial processes, industrial management, and industrial systems. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test industrial engineering systems.
Materials Engineer
Materials Engineer
Materials Engineers are responsible for designing, developing, and testing materials. This course provides a comprehensive overview of the field of materials engineering, covering topics such as materials science, materials properties, and materials processing. It is an ideal foundation for anyone looking to start a career in this rapidly growing field. Upon completing the course, you will have the knowledge and skills necessary to design, develop, and test materials.
For more career information including salaries, visit:
OpenCourser.com/course/9k7x6d/udacity
Reading list
We've selected 13 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
Self-Driving Car Engineer - Computer Vision.
Provides a comprehensive overview of computer vision, covering topics such as image formation, feature detection, and object recognition. It valuable resource for students, researchers, and practitioners in computer vision and related fields.
Save
Covers the fundamental algorithms and applications of computer vision, providing a comprehensive overview of the field. It valuable resource for students, researchers, and practitioners in computer vision and related fields.
Save
Provides an in-depth overview of the fundamentals and techniques used in computer vision. It covers topics such as image formation, feature extraction, object recognition, motion estimation, and segmentation. This book valuable resource for understanding the foundational concepts of computer vision and its applications in various domains.
Provides a practical guide to using deep learning for computer vision tasks. It covers topics such as convolutional neural networks, object detection, image classification, and semantic segmentation. This book is beneficial for practitioners who want to apply deep learning to computer vision problems.
Save
Provides a comprehensive overview of pattern recognition and machine learning, covering topics such as statistical pattern recognition, Bayesian learning, and support vector machines. It valuable resource for students, researchers, and practitioners in computer vision and related fields.
Provides a comprehensive overview of computer vision, covering topics such as image formation, feature extraction, object recognition, and motion estimation. It valuable resource for understanding the theoretical foundations of computer vision and its applications in various domains.
Save
Provides a comprehensive overview of machine learning for computer vision, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for students, researchers, and practitioners in computer vision and related fields.
Provides a practical guide to using OpenCV for computer vision tasks. It covers topics such as image processing, object detection, image classification, and augmented reality. This book is beneficial for practitioners who want to use OpenCV to build computer vision applications.
Provides a comprehensive guide to using Python for computer vision tasks. It covers topics such as image processing, object detection, image classification, and deep learning. This book is beneficial for practitioners who want to use Python to build computer vision applications.
Provides a comprehensive overview of computer vision, covering topics such as image formation, feature extraction, object recognition, and motion estimation. It valuable resource for understanding the theoretical foundations of computer vision and its applications in various domains.
Although this book focuses on probabilistic robotics, it covers computer vision topics such as image formation, feature extraction, and object recognition. It valuable resource for understanding the theoretical foundations of computer vision and its applications in robotics.
Save
Provides an introductory overview of computer vision, covering topics such as image formation, feature extraction, object recognition, and motion estimation. It valuable resource for understanding the foundational concepts of computer vision and its applications in various domains.
Is often used as a textbook for undergraduate digital image processing courses. It provides an overview of the fundamental concepts of digital image processing, such as image enhancement, image restoration, and image compression.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9k7x6d/udacity
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Good to know
Explores the use of OpenCV for image analysis, a common tool in computer vision and robotics
Delves into machine learning algorithms like support vector machines for image classification, a crucial technique in areas like object detection and facial recognition
Provides a comprehensive understanding of computer vision, a foundational field in artificial intelligence and robotics
Requires proficiency in Python and familiarity with basic camera physics, setting a higher barrier to entry
Part of a larger Nanodegree Program, indicating a deeper dive into self-driving car engineering
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