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Learn about SIFT(scale invariant feature transform), a powerful algorithm in computer vision. Understand what it is, sift computer vision.
Learn how to build convolutional neural network (CNN) models using PyTorch. Work on an image classification problem by building CNN models.
Pytorch is a python based library. An introduction to pytorch and getting started with pytorch to build neural networks and take a case study as an example.
Skimage tutorial to learn how it works and also 8 powerful skimage tricks to make you a computer vision expert. Get started with skimage Python here.
Explore the HOG feature descriptor in computer vision. Learn the steps to calculate HOG features and implement them in Python for analysis.
Take your computer vision skills to the next level with video classification models. Discover how to analyze and classify video data using deep learning.
Image feature extraction python: Learn the process of feature extraction in image processing using different image extraction method.
Real-time object detection is the next big thing in computer vision and deep learning. Learn how to perform real-time object detection using SlimYOLOv3.
Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science. Read about the common application of SVD is data science.
Explore Mask R-CNN with our detailed guide covering image segmentation types, implementation steps and examples in Python and PyTorch.
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