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tnikolla / robot-grasp-detection

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
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Training Parameter about grasp #27

Open vicya opened 4 years ago

vicya commented 4 years ago

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 the exact parameters ?

zhoumo1121 commented 3 years ago

ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float64: 'Tensor("truediv:0", shape=(), dtype=float64, device=/device:CPU:0)' May I ask how to solve this problem? Thanks, I've been working on it for a long time!

Jonho111 commented 3 years ago

ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float64: 'Tensor("truediv:0", shape=(), dtype=float64, device=/device:CPU:0)' May I ask how to solve this problem? Thanks, I've been working on it for a long time! I have the same problem,has you solved it?