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.
Apache License 2.0
238
stars
84
forks
source link
may i ask if i train the model,should i use RGB-D images or just RGB images? #37
hello,i have read the paper(Real-Time Grasp Detection Using Convolutional Neural Networks),and the paper saied that uses the RGB-D image to train the model,and may i ask the code in this project,should i use RGB-D images or RGB images ,or both of them is ok?thank you very much, this problem is very important to me!!
hello,i have read the paper(Real-Time Grasp Detection Using Convolutional Neural Networks),and the paper saied that uses the RGB-D image to train the model,and may i ask the code in this project,should i use RGB-D images or RGB images ,or both of them is ok?thank you very much, this problem is very important to me!!