search

zhaobinglei / REGNet_for_3D_Grasping

RGENet is a REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. It aims at generating the optimal grasp of novel objects from partial noisy observations.
MIT License
56 stars 10 forks source link

datasets explaination #9

Open Twilight89 opened 2 years ago

Twilight89 commented 2 years ago

Hi~ Could you briefly explain the datasets ground-truth label? The keys_name in the dict bother me a lot~

dict_keys(['search_score', 'antipodal_score', 'objects_label', 'point_cloud', 'view_cloud', 'view_cloud_color', 'view_cloud_label', 'scene_cloud', 'scene_cloud_table', 'valid_index', 'valid_frame', 'vertical_score', 'center_score', 'view_cloud_score', 'select_frame', 'select_score', 'select_antipodal_score', 'select_center_score', 'select_vertical_score', 'select_frame_label'])

Hope for reply, thanks!

xins981 commented 1 year ago

I have same question. some of these item appear in s4g, but not all same.