how to define positive samples?

[2anchao]

📚 Documentation

• Links to the relevant documentation/comment: Hi code:

  pos_inds, labels, reg_targets, flattened_hms = \ self._get_ground_truth( grids, shapes_per_level, gt_instances)`

  logits_pred, reg_pred, agn_hm_pred = self._flatten_outputs(
      clss_per_level, reg_pred_per_level, agn_hm_pred_per_level)`
  
  if self.more_pos:
      # add more pixels as positive if \
      #   1. they are within the center3x3 region of an object
      #   2. their regression losses are small (<self.more_pos_thresh)
      pos_inds, labels = self._add_more_pos(
          reg_pred, gt_instances, shapes_per_level)`

questions: why has been use self._get_ground_truth get pos_inds(I call as pos_inds1), and when self.more_pos == True, use self._add_more_pos to get pos_inds(I call as pos_inds2), so the pos_inds2 cover the pos_inds1, I think pos_inds = pos_inds1 + pos_inds2 is right?

[2anchao]

I carelessness,

books Documentation

* Links to the relevant documentation/comment:
  Hi
  code:
  ```
   pos_inds, labels, reg_targets, flattened_hms = \
        self._get_ground_truth(
            grids, shapes_per_level, gt_instances)`

    logits_pred, reg_pred, agn_hm_pred = self._flatten_outputs(
        clss_per_level, reg_pred_per_level, agn_hm_pred_per_level)`

    if self.more_pos:
        # add more pixels as positive if \
        #   1. they are within the center3x3 region of an object
        #   2. their regression losses are small (<self.more_pos_thresh)
        pos_inds, labels = self._add_more_pos(
            reg_pred, gt_instances, shapes_per_level)`
  ```

questions: why has been use self._get_ground_truth get pos_inds(I call as pos_inds1), and when self.more_pos == True, use self._add_more_pos to get pos_inds(I call as pos_inds2), so the pos_inds2 cover the pos_inds1, I think pos_inds = pos_inds1 + pos_inds2 is right?

I carelessness, the pos_inds1 is None when self.more_pos == True