Create RefRef_test.py

RefRef_test.py

@@ -0,0 +1,41 @@
+# RefRef_test.py
+from datasets import Dataset, DatasetDict, Features, Image, Value
+import json
+import os
+
+# Define dataset features to match your YAML
+features = Features({
+    "image": Image(),
+    "depth": Image(),
+    "mask": Image(),
+    "transform_matrix": Value("float64", shape=(4, 4)),
+    "rotation": Value("float32"),
+})
+
+def load_dataset(data_dir, **kwargs):
+    splits = ["train", "val", "test"]
+    dataset_dict = {}
+    
+    for split in splits:
+        json_path = os.path.join(data_dir, f"transforms_{split}.json")
+        if not os.path.exists(json_path):
+            continue  # Skip missing splits
+        
+        with open(json_path, "r") as f:
+            data = json.load(f)
+        
+        # Extract frames and rename keys
+        examples = []
+        for frame in data["frames"]:
+            example = {
+                "image": frame["file_path"],
+                "depth": frame["depth_file_path"],
+                "mask": frame["mask_file_path"],
+                "transform_matrix": frame["transform_matrix"],
+                "rotation": frame.get("rotation", 0.0),
+            }
+            examples.append(example)
+        
+        dataset_dict[split] = Dataset.from_list(examples, features=features)
+    
+    return DatasetDict(dataset_dict)