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Computer vision is a field of artificial intelligence (AI) and computer science that focuses on enabling machines to interpret, analyze, and make decisions based on visual data from the world. It involves the development of algorithms and models that enable computers to understand and interpret images or video data, similar to how humans perceive and comprehend visual information. Here are 100 tips on computer vision:
1. Understand the Basics:
- Learn the fundamentals of image processing and computer vision.
- Grasp concepts like pixel manipulation, color spaces, and filtering.
2. Python and OpenCV:
- Use Python as it is widely adopted in the computer vision community.
- Master OpenCV, a powerful computer vision library in Python.
3. NumPy for Array Operations:
- Leverage NumPy for efficient array operations, essential for image manipulation.
4. Pillow for Image Handling:
- Use the Pillow library for basic image handling tasks.
