Instance Segmentation using Mask-RCNN with PixelLib and Python

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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:
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

Oh, and don't forget to connect with me!

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

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I'm gonna be one of those guys and say that you deserve WAY more subscribers than you currently have. Clear and concise with good info - thanks for putting this together :)

Deserthacker

Thanks for the tutorial. Am already using PixelLib a little but nice to get to know the library a little more thorough.

Samuel-wlfw

Would love to see this done with a custom trained model!

choffmeister

Beautiful implementation of masked RCNN

muditrustagi

Awesome content :D currently learning about Object detection and segmentation, Learning about ResNets, MobileNet and the inner structure of the Mask-RCNN model you showed in the video. Thank you and look forward to more exciting application in the future. <3

katokyea

Another great video 👍👍 the model looks pretty fast!

gustavojuantorena

this is epic! simple and neat! Thanks mate.
just when I needed

ebenezeragbozo

Thank you for all your efforts, please make another video regarding labeling training and deploying custom dataset for instance segmentation using pixellib, thank you

sofienabidi

thank you so much for providing these tutorials..

daljeetsinghranawat

Another great video ..thanks please make full video on how to label image for segmentation and how to implement end to end.. thanks in advance 🙏

nandankakadiya

Thanks for your interesting and informative video.Kindly do custom semantic segmentation( based on our application )using this pixellib library that will be helpful.

venkatesanr

Excellent tutorial. I was able to go thru it with expected results and no errors. I am going to try and use segmentation to allow my outside robot to move about and stay on the grass areas and out of the flower beds. Don't know how to do that yet but this video gives me a good start. Maybe you could follow this video up with further analysing the segmentation data in order to follow one of the objects. I subscribed and rang the bell. Thanks

solardad

Awesome content and you're very good teacher. Can I suggest doing something like detecting missing things, for instance spotting the differences from two images. What I really want to see is a practical example like training a model for a completed item and recognize defects or missing things. Example would be like in a bottling company, it would spot missing or crooked bottle cap or labels. More power to you!

lillywinter

A custom training video would be awesome!

davidbiggs

Thanks for beatiful Content ! Big fan your channel . <3

vehinvelateker

Great video ! Maybe next one on how to do custom dataset 👍🏻

aboudezoa

If I wanted to use a different model instead of coco is it as simple as downloading the model and changing the "load model" code line to point to the new model. I would like to be able to use a landscape model that would recognize grass, paths, flower beds etc to use with my outdoor robot

solardad

if u ever make a data science course, i would definiely buy

lucasschimidt

Your video are osum....Please upload Yolov4 with deep sort...

pankajray

Ive read everywhere that mask-rcnn fails for new versions of tensorflow and keras...so how come this pixellib is ok with tensorflow=2.4 if its based on the mask-rcnn

ledarius

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