温州大学《机器学习》课程资料（代码、课件等）

Real-time Object Grasp Detection ROS package for YOLOv3

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'