✅ [Pass] test in multiclass label&dynamic shape

tests/test_tools/test_data_augmentation.py

@@ -54,7 +54,7 @@ def test_mosaic():
 
     # Mock parent with image_size and get_more_data method
     class MockParent:
-        image_size = (100, 100)
+        base_size = 100
 
         def get_more_data(self, num_images):
             return [(img, boxes) for _ in range(num_images)]

tests/test_tools/test_data_loader.py

@@ -43,14 +43,14 @@ def test_training_data_loader_correctness(train_dataloader: DataLoader):
 def test_validation_data_loader_correctness(validation_dataloader: DataLoader):
     batch_size, images, targets, reverse_tensors, image_paths = next(iter(validation_dataloader))
     assert batch_size == 4
-    assert images.shape == (4, 3, 640, 640)
+    assert images.shape == (4, 3, 512, 768)
     assert targets.shape == (4, 18, 5)
     assert reverse_tensors.shape == (4, 5)
     expected_paths = [
-        Path("tests/data/images/val/000000151480.jpg"),
         Path("tests/data/images/val/000000284106.jpg"),
-        Path("tests/data/images/val/000000323571.jpg"),
+        Path("tests/data/images/val/000000151480.jpg"),
         Path("tests/data/images/val/000000570456.jpg"),
+        Path("tests/data/images/val/000000323571.jpg"),
     ]
     assert list(image_paths) == list(expected_paths)
 

tests/test_utils/test_bounding_box_utils.py

@@ -182,7 +182,7 @@ def test_bbox_nms():
         dtype=float32,
     )
 
-    nms_cfg = NMSConfig(min_confidence=0.5, min_iou=0.5)
+    nms_cfg = NMSConfig(min_confidence=0.5, min_iou=0.5, max_bbox=400)
 
     # Batch 1:
     #  - box 1 is kept with class 0 as it has a higher confidence than box 4 i.e. box 4 is filtered out
@@ -197,16 +197,24 @@ def test_bbox_nms():
             [
                 [0.0, 0.0, 0.0, 160.0, 120.0, 0.6682],
                 [1.0, 160.0, 120.0, 320.0, 240.0, 0.6457],
+                [0.0, 160.0, 120.0, 320.0, 240.0, 0.5744],
+                [2.0, 0.0, 0.0, 160.0, 120.0, 0.5498],
+                [1.0, 16.0, 12.0, 176.0, 132.0, 0.5498],
+                [2.0, 160.0, 120.0, 320.0, 240.0, 0.5250],
             ],
             [
                 [0.0, 16.0, 12.0, 176.0, 132.0, 0.6900],
                 [2.0, 0.0, 120.0, 160.0, 240.0, 0.6570],
+                [1.0, 0.0, 0.0, 160.0, 120.0, 0.5622],
+                [2.0, 0.0, 0.0, 160.0, 120.0, 0.5498],
+                [1.0, 0.0, 120.0, 160.0, 240.0, 0.5498],
+                [0.0, 0.0, 120.0, 160.0, 240.0, 0.5374],
             ],
         ]
     )
 
     output = bbox_nms(cls_dist, bbox, nms_cfg)
-
+    print(output)
     for out, exp in zip(output, expected_output):
         assert allclose(out, exp, atol=1e-4), f"Output: {out} Expected: {exp}"