test detr

odlab/config/detr_config.py

@@ -34,7 +34,7 @@ class DetrBaseConfig(object):
         self.train_topk = 300
         self.train_conf_thresh = 0.05
         self.test_topk = 300
-        self.test_conf_thresh = 0.3
+        self.test_conf_thresh = 0.5
 
         # --------- Label Assignment ---------
         self.matcher_hpy = {'cost_class': 1.0,

odlab/models/detectors/detr/criterion.py

@@ -40,8 +40,6 @@ class SetCriterion(nn.Module):
         assert 'pred_logits' in outputs
         src_logits = outputs['pred_logits']
 
-        idx = self._get_src_permutation_idx(indices)
-        target_classes_o = torch.cat([t["labels"][J] for t, (_, J) in zip(targets, indices)])
         target_classes = torch.full(src_logits.shape[:2], self.num_classes,
                                     dtype=torch.int64, device=src_logits.device)