Mastered image classification?
Pushed the boundaries of object detection?
Ready for the next big step when it comes to computer vision?
Get ready to sink your teeth into instance segmentation. 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:
- How to install PixelLib for Segmentation
- Download and load a pre-trained Mask R-CNN model
- Capture Real Time Video using your Webcam and OpenCV
- Apply real time instance segmentation to your OpenCV video feed
Get the code: https://github.com/nicknochnack/PixelLibInstanceSegmentation
Oh, and don’t forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
#python #pixellib #mask-rcnn
