first commit

ssd/data/datasets/evaluation/__init__.py

@@ -0,0 +1,24 @@
+from ssd.data.datasets import VOCDataset, COCODataset
+from .coco import coco_evaluation
+from .voc import voc_evaluation
+
+
+def evaluate(dataset, predictions, output_dir, **kwargs):
+    """evaluate dataset using different methods based on dataset type.
+    Args:
+        dataset: Dataset object
+        predictions(list[(boxes, labels, scores)]): Each item in the list represents the
+            prediction results for one image. And the index should match the dataset index.
+        output_dir: output folder, to save evaluation files or results.
+    Returns:
+        evaluation result
+    """
+    args = dict(
+        dataset=dataset, predictions=predictions, output_dir=output_dir, **kwargs,
+    )
+    if isinstance(dataset, VOCDataset):
+        return voc_evaluation(**args)
+    elif isinstance(dataset, COCODataset):
+        return coco_evaluation(**args)
+    else:
+        raise NotImplementedError