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The article you mentioned "Real-time Grasp Detection..." has the image depth information included when training the CNN. While the title of your repository "robot-grasp-detection" is "Detecting grasping... using RGB images".
Does it mean when training your network, you only used RGB images, and depth info. is not used ?
Further, the Cornell Grasping Dataset, has point cloud information of all images. If your network is trained with this dataset, depth information should be included. Am I correct ?
Thanks.
The text was updated successfully, but these errors were encountered:
qiushenjie
changed the title
About depth imformation
About depth information
May 15, 2018
@qiushenjie Just replace the B (in RGB) channel by D (depth image). Or pass RGB and DDD to 2 separate Networks, then concatenate the 2 feature maps which then are fed into FC layers.
Hi,
The article you mentioned "Real-time Grasp Detection..." has the image depth information included when training the CNN. While the title of your repository "robot-grasp-detection" is "Detecting grasping... using RGB images".
Does it mean when training your network, you only used RGB images, and depth info. is not used ?
Further, the Cornell Grasping Dataset, has point cloud information of all images. If your network is trained with this dataset, depth information should be included. Am I correct ?
Thanks.
The text was updated successfully, but these errors were encountered: