Update RefRef_test.py

RefRef_test.py

@@ -2,37 +2,50 @@
 from datasets import Dataset, DatasetDict, Features, Image, Value
 import json
 import os
+from PIL import Image as PILImage
 
-# 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"]
+def load_nerf_dataset(data_dir, config_name, splits=["train", "val", "test"]):
     dataset_dict = {}
     
+    # Define features to match the YAML
+    features = Features({
+        "image": Image(),
+        "depth": Image(),
+        "mask": Image(),
+        "transform_matrix": Value("float64", shape=(4, 4)),
+        "rotation": Value("float32")
+    })
+    
     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
+        json_path = os.path.join(data_dir, config_name, f"transforms_{split}.json")
         
         with open(json_path, "r") as f:
             data = json.load(f)
         
-        # Extract frames and rename keys
         examples = []
         for frame in data["frames"]:
+            # Resolve relative paths to load images
+            base_dir = os.path.dirname(json_path)
+            
+            # Load image
+            image_path = os.path.join(base_dir, frame["file_path"])
+            image = PILImage.open(image_path)
+            
+            # Load depth
+            depth_path = os.path.join(base_dir, frame["depth_file_path"])
+            depth = PILImage.open(depth_path)
+            
+            # Load mask
+            mask_path = os.path.join(base_dir, frame["mask_file_path"])
+            mask = PILImage.open(mask_path)
+            
+            # Create example
             example = {
-                "image": frame["file_path"],
-                "depth": frame["depth_file_path"],
-                "mask": frame["mask_file_path"],
+                "image": image,
+                "depth": depth,
+                "mask": mask,
                 "transform_matrix": frame["transform_matrix"],
-                "rotation": frame.get("rotation", 0.0),
+                "rotation": frame.get("rotation", 0.0)
             }
             examples.append(example)