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Hello, I wonder why the code below use a global topk to select higher scores. cls_scores = cls_scores.sigmoid() scores, indexs = cls_scores.view(-1).topk(max_num) labels = indexs % self.num_classes bbox_index = indexs // self.num_classes bbox_preds = bbox_preds[bbox_index]
cls_scores = cls_scores.sigmoid() scores, indexs = cls_scores.view(-1).topk(max_num) labels = indexs % self.num_classes bbox_index = indexs // self.num_classes bbox_preds = bbox_preds[bbox_index]
What if there are 2 or more higher scores generated by one query?
The text was updated successfully, but these errors were encountered:
Hello, I have the same question as you, if you solved, please tell me. Thanks~
Hello, I wonder why the code below use a global topk to select higher scores. cls_scores = cls_scores.sigmoid() scores, indexs = cls_scores.view(-1).topk(max_num) labels = indexs % self.num_classes bbox_index = indexs // self.num_classes bbox_preds = bbox_preds[bbox_index] What if there are 2 or more higher scores generated by one query?
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Hello,
I wonder why the code below use a global topk to select higher scores.
cls_scores = cls_scores.sigmoid() scores, indexs = cls_scores.view(-1).topk(max_num) labels = indexs % self.num_classes bbox_index = indexs // self.num_classes bbox_preds = bbox_preds[bbox_index]
What if there are 2 or more higher scores generated by one query?
The text was updated successfully, but these errors were encountered: