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This repository showcases the integration of various technologies, including the UR3 robotic arm, Intel D435F camera, custom-made gripper, and other components for berry harvesting applications. The project aims to develop a robust system that can detect berries, determine their pose, and execute precise gripping and harvesting actions
✭ MAGNETRON ™ ✭: OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation. Can be used to make a POSE ESTIMATION PROXIA.
People detection using histograms of oriented gradients and Haar cascades and the estimation of their position by transforming the coordinates of their bounding boxes into xyz coordinates
This repository contains the source code for rough maxima estimation given a point cloud. The following projects are coded in C#/C++ with the exception of some python wrappers.