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Update example_eval.rst
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docs/source/example_eval.rst

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@@ -20,7 +20,7 @@ To generate a `GraspGroup` and save it, you can directly input a 2D numpy array
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gg.save_npy(save_path)
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where your algorithm predicts N grasp poses for an image. For the meaning of each entry, you should refer to the doc for Grasp Label Format-API Loaded Labels
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where your algorithm predicts N grasp poses for an image. For the `object_id`, you can simply input `0`. For the meaning of other entries, you should refer to the doc for Grasp Label Format-API Loaded Labels
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The file structure of dump folder should be as follows:
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