TechGeeks

What is Pose Estimation? Pose Estimation is one of the recent applications of Deep Learning and Computer Vision. In pose estimation we try to predict the pose of a person, it means representing an orientation of a person in graphical format. While reading out the intro it might look a bit complex but actually, it is not. We implement the idea by considering each joint of our body as a coordinate for our graphical representation. The bones which connect two joints are shown as a simple line. To make a posture simple and easy to visualize we do not represent each and every bone of a human body. Instead, we represent Hands, Legs, Shoulder and Face of a person. Background Previously, one of the famous application of computer vision was face detection and face recognition. We also used to apply computer vision for detecting whether a person is present in an image or not. If the presence is detected then we can highlight the area where it is present. So, after making some advancements and a ...

Introduction to Hierarchical Clustering Unsupervised learning  is a type of Machine learning in which we use unlabeled data and we try to find a pattern among the data. Clustering algorithms  falls under the category of unsupervised learning. In these algorithms, we try to make different clusters among the data. Hierarchical Clustering  algorithms build a hierarchy of clusters where each node is a cluster consisting of the clusters of its children node. fig. 1 Check out my blog on Hierarchical Clustering - An Unsupervised learning Algorithm  to learn more about it. Implementing it with Python and SciKit-Learn We will use the python programming language for its implementation. In python language, we will be using SciKit-Learn library. So let's start with implementation - We will be using our own dataset which will be generated by us.     1.  Importing necessary Libraries - To create a machine learning model we will use SciKit-Learn (sklearn) librar...