Self-Driving Cars Tutorial Identify Lane Lines with Python
1,5h | Video: .MP4, 1280x720, 30 fps(r) | Audio: AAC, 44100Hz, 2ch | 887 MB
Genre: eLearning | Language: English

Self-driving cars, have rapidly become one of the most transformative technologies to emerge. They are continuously driving our society forward, and creating new opportunities in the mobility sector.

Learn & Master Automotive-related Computer Vision techniques in this fun and exciting course with top instructor Rayan Slim. With over 30000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.

You'll go from beginner to Computer Vision competent and your instructor will complete each task with you step by step on screen.

By the end of the course, you will be identify to build a lane-detection algorithm fuelled entirely by Computer Vision.

This course also comes with all the source code and friendly support in the Q&A area.

What are the requirements?

A working computer
Previous experience with Python
What am I going to get from this course?

Learn to apply Computer Vision techniques to build automotive-related algorithms
What is the target audience?

Anyone with an interest in Computer Vision and Self Driving Cars
Entrepreneurs with an interest in working on some of the most cutting edge technologies

Self-Driving Cars Tutorial Identify Lane Lines with Python

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