Upload data.py

data.py

@@ -0,0 +1,94 @@
+import os
+
+import datasets
+import pandas as pd
+
+_VERSION = datasets.Version("0.0.2")
+
+_DESCRIPTION = "TODO"
+_HOMEPAGE = "TODO"
+_LICENSE = "TODO"
+_CITATION = "TODO"
+
+_FEATURES = datasets.Features(
+    {
+        "image": datasets.Image(),
+        "conditioning_image": datasets.Image(),
+        "text": datasets.Value("string"),
+    },
+)
+
+
+_DEFAULT_CONFIG = datasets.BuilderConfig(name="default", version=_VERSION)
+DATA_DIR = "/home/birgermoell/data"
+
+
+class coyo(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [_DEFAULT_CONFIG]
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=_FEATURES,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        metadata_path = f"{DATA_DIR}/output.csv"
+        images_dir = f"{DATA_DIR}/base_images"
+        conditioning_images_dir = f"{DATA_DIR}/segmented_images"
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "metadata_path": metadata_path,
+                    "images_dir": images_dir,
+                    "conditioning_images_dir": conditioning_images_dir,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, metadata_path, images_dir, conditioning_images_dir):
+        #metadata = pd.read_json(metadata_path, lines=True)
+        metadata = pd.read_csv(metadata_path)
+
+        for _, row in metadata.iterrows():
+            text = row["description"]
+            print("the row is", row)
+
+            try:
+                image_path = row["image"]
+                #image_path = os.path.join(images_dir, image_path)
+                image_path = os.path.join("/home/birgermoell/data/" + image_path)
+                image = open(image_path, "rb").read()
+
+
+                conditioning_image_path = row["conditioning_image"]
+ 
+                # conditioning_image_path = os.path.join(
+                #     conditioning_images_dir, row["conditioning_image"]
+                # )
+
+                conditioning_image_path = os.path.join("/home/birgermoell/data/" + row["conditioning_image"])
+
+                conditioning_image = open(conditioning_image_path, "rb").read()
+
+                yield row["image"], {
+                    "text": text,
+                    "image": {
+                        "path": image_path,
+                        "bytes": image,
+                    },
+                    "conditioning_image": {
+                        "path": conditioning_image_path,
+                        "bytes": conditioning_image,
+                    },
+                }
+            except Exception as e:
+                print(e)