Crash Course - Python, NumPy & OpenCV

Learn to use Computer Vision Techniques to Detect Lane Lines for an Automotive (Python & NumPy Crash Courses Included)
Instructed by: Rayan Slim | Subject: Development, Software Engineering

Description

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 28000 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. No experience required. This course is designed to take students with no programming/mathematics experience to accomplished Deep Learning developers. This course also comes with all the source code and friendly support in the Q&A area.

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Course Info

• 61 Lectures
• 4.5 Hours
• Language: English
• Subject: Development, Software Engineering
• Instructed by: Rayan Slim
• Platform: Udemy