PinnedNikita MalviyaBeyond Pixels: Exploring the Depths of 3D Point CloudsA point cloud is a set of data points in the three-dimensional Euclidean space, where each point is represented by three Cartesian…Dec 7, 20231Dec 7, 20231
PinnedNikita MalviyaMastering Point Clouds: A Deep Dive into the PointNet ArchitecturePointNet is a point-based architecture, designed for the task of processing and analyzing 3D point cloud data, and it specifically…Dec 7, 2023Dec 7, 2023
Nikita MalviyaTransformers: A Beginner’s GuideTransformers are a revolutionary deep learning architecture introduced in the paper “Attention is All You Need” by Vaswani et al. in 2017…Mar 26Mar 26
Nikita MalviyaBird’s Eye View: A New PerspectiveIn computer vision, various viewpoints or perspectives can be utilized depending on the specific application and the sensor modalities…Mar 261Mar 261
Nikita MalviyaEvaluation of Object Detection Models — Flops, FPS, Latency, Params, Size, Memory, Storage, mAP…In this blog, we will be discussing the parameters that are used to evaluate the performance of different models, commonly object…Jan 293Jan 293
Nikita MalviyaPointNet++ - A Point-based Architecture for 3D Point Cloud DataPointNet++ is an extension of PointNet, aiming to capture more detailed geometric structures in point cloud data.Dec 8, 2023Dec 8, 2023
Nikita MalviyaManaging Service Files in LinuxIn the world of Linux system administration, managing services is a crucial aspect to ensure the proper functioning and availability of…Aug 7, 2023Aug 7, 2023
Nikita MalviyaObject Detection — Anchor Box VS Bounding BoxIn object detection algorithms like Faster R-CNN and YOLO, anchor boxes are used to generate candidate regions and to predict bounding box…Aug 6, 20231Aug 6, 20231
Nikita MalviyaDemystifying Cross-Entropy: A Key Concept for Understanding Classification in Machine LearningCross-entropy is a concept used in machine learning, particularly for classification tasks, to measure how well a predicted probability…Aug 3, 2023Aug 3, 2023