Hello, thanks for publishing code to this amazing paper!
I am trying to the train the data for two classes as an experiment. I achieved good results by training them with Ver_Dim : 18 and Seg_Dim: 3. Even though it is multi-class it detects only one object at a time, obviously. I read the issue #57 and it that you mentioned we will have to change ransac_voting_layer_v3 to make it generate keypoints for two classes. Can you throw some light on how to do that?
As a second experiment, I am trying to train two classes using ver_dim : 36 and Seg_dim : 3. In this the vertex data for class not present in the image should be zeroes? As my data consists of only one class per image.
Hello, thanks for publishing code to this amazing paper!
ransac_voting_layer_v3
to make it generate keypoints for two classes. Can you throw some light on how to do that?