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Pathway to Becoming a Computer Vision Engineer

Aug 4, 2024

Computer Vision Roadmap Overview

Introduction

  • Presenter: Felipe
  • Topic: Comprehensive roadmap for becoming a computer vision engineer.
  • Key focus: Skills, specializations, and resources for learning.

Step 1: Learning Fundamentals

  • Essential Skills:
    • Python
    • OpenCV
  • Resources:
    • Comprehensive 3-hour OpenCV with Python course.
    • If time is limited, recommend specific lessons covering basics of OpenCV.

Step 2: Basics of Machine Learning

  • Importance: Crucial for computer vision.
  • Key Tasks in Computer Vision:
    1. Image Classification
    2. Object Detection
    3. Semantic Segmentation
    4. Pose Detection
  • Learning Recommendation: Solve the four specific problems to grasp machine learning concepts.
  • Tools to Learn:
    • Scikit-learn
    • YOLO
    • PyTorch
    • TensorFlow
  • Note: Focus on solving problems, not just tools.

Step 3: Specialization Options

1. Low-level Programming and Electronics

  • Learn C++ and work with edge devices (e.g., Arduino, Jetson Nano).
  • Allows for a deeper understanding of hardware interaction.

2. Research Path

  • Involves advanced machine learning and mathematics.
  • Misconception: Advanced math is not necessary to be successful in computer vision.

3. Generative AI

  • Emerging field focused on imagination and text generation.
  • Importance: Expected to grow significantly in the coming years.

Step 4: Software Skills

  • Importance of Software Knowledge: Essential for collaboration with other developers and building products.
  • Recommended Skills:
    • Version control (e.g., GitHub)
    • Docker
    • Familiarity with cloud platforms (AWS, Google Cloud, Azure)
    • Basic web development technologies
  • Personal anecdote: Underestimated the need for software-related skills early in career.

Enhancing Skill Sets

Project Work

  • Gain experience through:
    • Coding tutorials on YouTube.
    • Paid courses for deeper learning.
    • Example project: Video summarization API.

Community and Collaboration

  • Join communities (e.g., Discord servers) for project collaboration and support.
  • Utilize subreddits for specific topics (e.g., stable diffusion).

Competitions

  • Participate in competitions like Kaggle to enhance skills and compare with others.

Conclusion

  • Summary of the roadmap and resources.
  • Call to action: Like and subscribe for more content.

Full transcript