robot-grasp-detection
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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 Con...
Hi ,I try to test the code and want to get the same result. But I do not know the training parameter you didi with grasp_det.py, could you tell me...
Hello Run grab_det.py, after 10000 steps, the loss is stable at 30000-40000, and how much is the reasonable loss!
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...
I want to train my own model,and make the dataset by myself,but i don't know what the format is and want some help,thanks!
I used other images to test it and found that this network only works on the object of the image center!!! Why is it like this? Thank you! Shu Guo
when I run grasp_det.py, I met this error as follow: ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float64: 'Tensor("truediv:0", shape=(), dtype=float64, device=/device:CPU:0)' How can I solve this...
How can I transfer this project to python3, it seems this project is writen in python2, thank you.
May I ask how to solve this problem? Thanks, I've been working on it for a long time!
Hi! In paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' part IV. GRASP DETECTION WITH NEURAL NETWORKS C. Regression + Classification D. MultiGrasp Detection Do you have a program? part...