Adding fields to dataset

Signed-off-by: Jiri Podivin <[email protected]>

plantorgans.py

@@ -11,13 +11,6 @@ _CITATION = """"""
 
 _LICENSE = "MIT"
 
-_NAMES = [
-    'Leaf',
-    'Stem',
-    'Flower',
-    'Fruit',
-]
-
 _BASE_URL = "https://huggingface.co/datasets/jpodivin/plantorgans/resolve/main/"
 _TRAIN_URLS = [_BASE_URL + f"sourcedata_labeled.tar.{i:02}" for i in range(0, 8)]
 _TEST_URLS = [_BASE_URL + f"sourcedata_labeled.tar.{i:02}" for i in range(8, 12)]
@@ -60,18 +53,20 @@ class PlantOrgans(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         return datasets.DatasetInfo(
-        description=_DESCRIPTION,
-        features=datasets.Features(
-            {
-                "image": datasets.Image(),
-                "mask": datasets.Image(),
-            }
-        ),
-        supervised_keys=("image", "annotation"),
-        homepage=_HOMEPAGE,
-        citation=_CITATION,
-        license=_LICENSE,
-    )
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "image": datasets.Image(),
+                    "mask": datasets.Image(),
+                    "score": datasets.Value(dtype='double'),
+                    "image_name": datasets.Value(dtype="string")
+                }
+            ),
+            supervised_keys=("image", "mask"),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE,
+        )
 
 
     def _split_generators(self, dl_manager):
@@ -118,6 +113,7 @@ class PlantOrgans(datasets.GeneratorBasedBuilder):
         """
         images: path to image directory
         metadata_path: path to metadata csv
+        masks_path: path to masks
         """
 
         # Get local image paths
@@ -137,6 +133,13 @@ class PlantOrgans(datasets.GeneratorBasedBuilder):
 
         # Make examples and yield
         for i, r in metadata.iterrows():
-            
-            # Each example must contain path to image and list of annotations under object key
-            yield i, {'mask': r['mask_path'], 'image': r['image_path']}
+            # Example contains paths to mask, source image, certainty of label,
+            # and name of source image.
+            example = {
+                'mask': r['mask_path'],
+                'image': r['image_path'],
+                'image_name': Path(r['image_path']).parts[-1],
+                'score': r['score']
+            }
+
+            yield i, example