This course teaches the foundational principles of Mask R-CNN as it applies to Computer Vision and OpenCV in Python. It walks you through the installation and configuration of the Mask R-CNN framework, then introduces its concept and intuition. You'll gain practical skills such as interpreting the output of Mask R-CNN, writing and tweaking code for real-time Mask R-CNN webcam applications, training models for segmentation and detection of potholes, and developing your own applications using Mask R-CNN. By the end of this course, you will be an expert on how to use the Mask R-CNN framework in OpenCV Python.
Overview
Syllabus
Mask R CNN - How to Install and Run | OpenCV Python | Computer Vision (2021).
Mask RCNN - How it Works - Intuition Tutorial | OpenCV Python | Computer Vision 2020.
Mask RCNN Tutorial - Install Mask RCNN | OpenCV Python | Computer Vision 2020 - Part 1.
Mask RCNN Tutorial - Real-Time Mask RCNN Webcam | OpenCV Python | Computer Vision 2020 - Part 2.
Mask RCNN Tutorial Training Pothole Segmentation | OpenCV Python | Computer Vision 2020 Part 3.
Mask RCNN Tutorial - Training for Pothole Segmentation | OpenCV Python | Computer Vision - Part 4.
Mask RCNN for Pothole Detection| OpenCV Python | Computer Vision 2020 - Part 5.
Become an Expert in Mask R-CNN - OpenCV Python | Computer Vision 2020.
Taught by
Augmented Startups
