Deep Learning! Easy way to do Image Segmentation with Python




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Learn how to do image and video segmentation using a state of the art deep learning model. We will use a pre-trained deep neural network that we are going to adapt to our needs to accomplish the task. The code in this tutorial is written in python and the used libraries are tensorflow, keras and opencv.
Image segmentation is a technique from the field of computer vision where we try to predict the exact contour of an object. Deep neural networks are the state of the art solution for tasks like that one and are widely used in the data science/data analytics community.

Original Mask-RCNN Repo: https://github.com/matterport/Mask_RCNN
MS-COCO: http://cocodataset.org/#home

_About the channel_____________________
TL;DR
Awesome Data science without much math!

Hello, I’m Johannes Frey, or simply call me Jo!
On my channel, I will show you how to make awesome things with Data Science. Further, I will present to you some short Videos covering the basic fundamentals of Machine Learning and Data Science like Feature Tuning, Over/Undersampling, Overfitting, … with Python.

All videos will be simple to follow and I’ll try to reduce the complicated mathematical stuff to a minimum because I believe that you don’t need to know how a CPU works to be able to operate a PC…

GitHub: https://github.com/coding-maniacs

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Comment List

  • Johannes Frey
    December 15, 2020

    Please make a video on blend masking pleaseee

  • Johannes Frey
    December 15, 2020

    Thank you for your video. Just a quick question. There is a possibility to apply segmentation to pills 💊 ?

  • Johannes Frey
    December 15, 2020

    Sir can you also briefly explain how can we segment hair?

  • Johannes Frey
    December 15, 2020

    Thank you for this amazing lesson. It really helped me a lot with image segmentation. I would like to ask you if tensorflow-gpu is necessary for this kind of tasks or i can just use tensorflow-cpu? Thank you in advance

  • Johannes Frey
    December 15, 2020

    My project is on image segmentation of bacteria using rcnn..sir plz..help……

  • Johannes Frey
    December 15, 2020

    Please create video on markcnn

  • Johannes Frey
    December 15, 2020

    Great video.

  • Johannes Frey
    December 15, 2020

    Am i right in thinking that the process goes like this: preprocess the data and ensure it can work within the model; train/test the model to ensure it works for the data (improving if not suitable yet); segment/decode the segment map (different approach depending on the model used. i.e. 'fcn_resnet101' pretrained is different to a custom u-net?); present the image with overlay or whatever.

  • Johannes Frey
    December 15, 2020

    Great video😍, do you know that this is my same project, by chance !! I was so glad when I found this video. I downloaded the project to GitHub but it cannot be displayed, please what is the problem. I'll wait for your answer🙏

  • Johannes Frey
    December 15, 2020

    good Video!!

  • Johannes Frey
    December 15, 2020

    Good job! Thank you for the vídeo. A vídeo about Mask RCNN would be awesome!

  • Johannes Frey
    December 15, 2020

    How do I join your company for an internship? Im a fan now!

  • Johannes Frey
    December 15, 2020

    Excellent video. It makes image segmentation so much more understandable. Keep it up!

  • Johannes Frey
    December 15, 2020

    How much faster is inference on the model that just segments people as compared to the existing model that segments all the different classes?

  • Johannes Frey
    December 15, 2020

    Nice tutorial and well explained .. let's help eachother to grow 👍👍 I m new on this platform let's connect with each other and grow together and bigger and bigger ❤️luv from India

  • Johannes Frey
    December 15, 2020

    Thanks a lot man! loved your content and your style. cheers

  • Johannes Frey
    December 15, 2020

    Excellent tutorial on Image Segmentation.

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