Create foot.py

foot.py

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+from datasets import load_dataset
+import collections
+import json
+import os
+import datasets
+
+
+_HOMEPAGE = "https://huggingface.co/datasets/aidystark/FOOTNET40k"
+_LICENSE = "CC BY 4.0"
+_DESCRIPTION  =  """\
+    title = { wlots Dataset },
+    type = { Open Source Dataset },
+    author = { asd },
+    howpublished = { \\url{ https://universe.roboflow.com/asd-culfr/wlots } },
+    url = { https://universe.roboflow.com/asd-culfr/wlots },
+    journal = { Roboflow Universe },
+    publisher = { Roboflow },
+"""
+_CITATION = """\
+@misc{ wlots_dataset,
+    title = { wlots Dataset },
+    type = { Open Source Dataset },
+    author = { asd },
+    howpublished = { \\url{ https://universe.roboflow.com/asd-culfr/wlots } },
+    url = { https://universe.roboflow.com/asd-culfr/wlots },
+    journal = { Roboflow Universe },
+    publisher = { Roboflow },
+    year = { 2022 },
+    month = { may },
+    note = { visited on 2023-01-27 },
+}
+"""
+#_NAMES = ["Dressing Shoe", "Crocs", "Heels", "Sneakers", "Boot", "Sandals"]
+#_ANNOTATION_FILENAME = "_annotations.coco.json"
+
+
+class FOOT40KConfig(datasets.BuilderConfig):
+    """Builder Config for FOOT40K"""
+ 
+    def __init__(self, data_url, metadata_url, **kwargs):
+        """BuilderConfig for FOOT40K.
+        Args:
+          data_url: `string`, url to download the zip file from.
+          metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(FOOT40KConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
+        self.data_url = data_url
+        self.metadata_url = metadata_url
+
+class FOOT40K(datasets.GeneratorBasedBuilder):
+    """FOOT40K Images dataset"""
+ 
+    BUILDER_CONFIGS = [
+        FOOT40KConfig(
+            name="shoe_all",
+            description="Shoe Data.",
+            data_url="https://huggingface.co/datasets/aidystark/FOOT40K/resolve/main/FOOT40k.tar.gz?download=true",
+            metadata_url = "https://huggingface.co/datasets/aidystark/FOOTNET40k/resolve/main/foot40k.json?download=true", 
+            
+        ),
+
+    ]
+
+    def _info(self):
+      return datasets.DatasetInfo(
+          description=_DESCRIPTION,
+          features=datasets.Features(
+              {
+                  "image": datasets.Image(),
+                  "text": datasets.Value("string"),
+              }
+          ),
+          homepage=_HOMEPAGE,
+          citation=_CITATION,
+          license=_LICENSE,
+)
+  
+    def _split_generators(self, dl_manager):
+        archive_path = dl_manager.download(self.config.data_url)
+        image_iters = dl_manager.iter_archive(archive_path)
+        metadata_path = dl_manager.download(self.config.metadata_url)
+        return [
+              datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "images": image_iters,
+                    "metadata_path": metadata_path,
+                },
+            ),
+
+        ]
+
+
+    def _generate_examples(self, images, metadata_path):
+      idx = 0
+
+            
+      with open(metadata_path, "r") as f:
+          filename_to_label = json.load(f)
+      
+      labels = [item["Label"] for item in filename_to_label]      
+
+
+      for filepath, image in images:
+          yield idx, {
+              "image": {"path": filepath, "bytes": image.read()},
+              "label": labels[idx],
+          }
+
+          idx += 1