explanation
Computer Vision in Python for Beginners (Theory and Projects) is a computer vision course in Python using Python, OpenCV, and TensorFlow. Computer vision is a branch of computer science that works to match the complex capabilities of the human visual system. During the resume process, real-world images and videos are captured, processed, and analyzed to enable machines to extract useful information from the world.
What you’ll learn in Computer Vision in Python for Beginners (Theory and Projects):
- Introduction to Computer Vision (CV)
- Why modern resumes are so popular
- Beginner-level key principles with examples in Python
- Practical explanation and coding using Python
- The concept of color and black and white images
- In-depth details about computer vision, with examples of each concept from the beginning.
- Tensorflow (deep learning framework developed with Google)
- Theoretical understanding and application of panoramic images
- Geometry of Transformation
- Image filter in Python
- Edge recognition, detection of objects and edges of objects
- Object tracking and object detection
- 3D photo
- Developed an entire project to build a smart and efficient DVR using Python
Course specifications
Publisher: Udemy
teacher: AI Science and AI Science Team
Language:English
Education level: from basic to advanced
Number of courses: 327
Duration: 26 hours 59 minutes
2021/8 Course Topics:
Computer Vision Prerequisites in Python for Beginners (Theory and Projects):
• No prior knowledge required. You will start from the basics and slowly build your knowledge of computer vision.
• Willingness to learn and practice.
• Knowledge of Python would be a plus.
• Practice is essential because teaching is through practice.
movie
Video introduction to computer vision in Python for beginners (theory and projects):
installation manual
After extracting, watch with your favorite players.
English subtitles
Quality: 720p
download link
File password: free download software
size
10.6GB