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Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and locali…
3D Mapping using 2D LiDAR
This repository contains code for training and visualizing a point cloud classification model using PyTorch. The model is based on the PointNet architecture and can be trained on two different data…
Real-time Emotion Detection on Human Faces using YOLOv5 and Android Deployment.
GutlapalliNikhil / Autonomous_Disaster_Response_robot
Forked from deep-zspace/Autonomous_Disaster_Response_robotClass Project of EECE5550 - Mobile Robotics
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Semantic Segmentation Architectures Implemented in PyTorch