Deep Learning! Easy way to do Image Segmentation with Python
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!
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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
Equipment ____________________
Camera: http://amzn.to/2hkVs5X
Camera lens: http://amzn.to/2fCEU9z
Audio-Recorder: http://amzn.to/2jNu2KJ
Microphone: http://amzn.to/2hloKBG
Light: http://amzn.to/2w8J92N