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In this article, you will learn how you can detect vehicle motion by using background subtraction. Read more to know!
The input images can be subjected to arithmetic operations such as addition, subtraction, and bitwise operations (AND, OR, NOT, XOR).
Here we're going to summarize a convolutional-network architecture called densely-connected-convolutional networks or DenseNets.
In this article, let us work on creating a angle detection model using computer vision in python and see its real world applications
In this article, we will be making hand landmarks detection model with the profound library i.e. mediapipe as the base library
Explore the significance of Object Detection, how it functions, training data essentials, Bounding Box Evaluation using IOU.
Explore the Convolutional Neural Networks in deep learning, covering architecture, layers, training, limitations, and Python implementation.
In this article, we will see how to Lenskit build a recommender system and evaluate different recommender algorithms using the nDCG metric.
In this article we will be doing pose detection using Mediapipe and OpenCV. We will go in-depth about all the processes and code
The objective of this article is to build a mode for cricket shot classification using the images of the pose of a player while playing
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