Computer Vision Smart Systems : Python, YOLO and OpenCV -1

Computer Vision-Become an ace of Computer Vision, Computer Vision for Apps using Python, OpenCV, TensorFlow, etc.

Created by: AI Sciences
AI Experts & Data Scientists |4+ Rated | 168+ Countries

Created by: AI Sciences Team
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What Will I Learn?

• • The introduction and importance of Computer Vision (CV).
• • Why is CV such a popular field nowadays?
• • The fundamental concepts from the absolute beginning with comprehensive unfolding with examples in Python.
• • Practical explanation and live coding with Python.
• • The concept of colored and black and white images with practice.
• • Deep details of Computer Vision with examples of every concept from scratch.
• • TensorFlow (Deep learning framework by Google).
• • The use and applications of state-of-the-art Computer Vision (with implementations in state-of-the-art framework Numpy and TensorFlow).
• • Theory and implementation of Panoramic images.
• • Geometric transformations.
• • Image Filtering with implementation in Python.
• • Edge Detection, Shape Detection, and Corner Detection.
• • Object Tracking and Object detection.
• • 3D images.
• • Building your own applications for change detection in the live feed of cameras by using Computer Vision Techniques using Python.
• • Developing a complete project to make a very intelligent and efficient DVR using Python.

Requirements

• • No prior knowledge is needed. You will start from the basics and slowly build your knowledge in computer vision.
• • A willingness to learn and practice.
• • Knowledge of Python will be a plus.
• • Since we teach by practical implementations, practice is a must.

Target audience

• • Learners who are absolute beginners and know nothing about Computer Vision.
• • People who want to make smart solutions.
• • People who want to learn computer vision with real data.
• • People who love to learn theory and then implement it using Python.
• • People who want to learn computer vision along with its implementation in realistic projects.
• • Data Scientists.
• • Machine learning experts.