Instance Segmentation using Mask RCNN with Python
In this video you'll learn how to segment objects in real time using PixelLib. PixelLib is a flexible Python library that allows you to perform all types of segmentation. In this case you'll learn how to leverage a pre-trained Mask-RCNN model which has been trained on the COCO dataset to be able to detect objects.
In this video you'll learn:
1. How to install PixelLib for Segmentation
2. Download and load a pre-trained Mask R-CNN model
3. Capture Real Time Video using your Webcam and OpenCV
4. Apply real time instance segmentation to your OpenCV video feed
Prerequisites:
1. Python 3.8 ( Used in the video ) or higher
2. Jupyter Notebook
Links:
1. Project Files :
https://github.com/thesohailirfan/Instance...
2. Mask RCNN Model :
https://github.com/matterport/Mask_RCNN/re...
Mistakes:
1. It's always "Instance Segmentation" not "Image Segmentation"
Please let me know ant other mistakes
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