The Best Project to Start in Computer Vision with Python

The Best Project to Start in Computer Vision with Python

In this tutorial, we'll learn The Best Project to Start in Computer Vision with Python. GrabCut — A Google Colab NoteBook implementation for Image Matting (background removal)

GrabCut — A Google Colab NoteBook implementation for Image Matting (background removal)

Follow the article along with the [complete code implementation on GitHub_](https://github.com/louisfb01/iterative-grabcut). Open the notebook in [Google Colab_](https://colab.research.google.com/), import your image(s), and run the cells!Originally published on [louisbouchard.ai_](https://www.louisbouchard.ai/grabcut-notebook-implementation/), read it 2 days before on [my blog_](https://www.louisbouchard.ai/tag/artificial-intelligence/)!

 Image matting is an extremely interesting task where the goal is to find any object of interest, or human, in a picture and remove its background. This task is hard to achieve due to its complexity, finding the person, people, or objects with the perfect contour. This post reviews an exciting technique using basic computer vision algorithms to achieve this task. The GrabCut algorithm. It is swift but not very precise for complex objects like humans or animals. Nonetheless, it can be handy in specific contexts and is a perfect applied first project to start in computer vision and python! As mentioned above, the implementation uses Google Colab, thus having no requirements or setup needed, making it an exciting project to duplicate for learning.

computer-vision python ai machine-learning artificial-intelligence the best project to start in computer vision with python

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Top Machine Learning Projects in Python For Beginners [2021] | upGrad blog

If you want to become a machine learning professional, you’d have to gain experience using its technologies and also by completing projects. Top Machine Learning Projects in Python For Beginners [2021]

Top Machine Learning Projects in Python For Beginners [2021]

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