lfs

.gitattributes

@@ -36,3 +36,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.ogg filter=lfs diff=lfs merge=lfs -text
 *.wav filter=lfs diff=lfs merge=lfs -text
 dataset_infos.json filter=lfs diff=lfs merge=lfs -text
+Test filter=lfs diff=lfs merge=lfs -text
+Train filter=lfs diff=lfs merge=lfs -text
+test filter=lfs diff=lfs merge=lfs -text
+train filter=lfs diff=lfs merge=lfs -text
+Meta.csv filter=lfs diff=lfs merge=lfs -text
+Test.csv filter=lfs diff=lfs merge=lfs -text
+Train.csv filter=lfs diff=lfs merge=lfs -text

Meta.csv

@@ -1,44 +1,3 @@
-Path,ClassId,ShapeId,ColorId,SignId
-Meta/27.png,27,0,0,1.32
-Meta/0.png,0,1,0,3.29
-Meta/1.png,1,1,0,3.29
-Meta/10.png,10,1,0,3.27
-Meta/11.png,11,0,0,1.22
-Meta/12.png,12,2,2,2.3
-Meta/13.png,13,4,0,2.1
-Meta/14.png,14,3,0,2.2
-Meta/15.png,15,1,0,3.1
-Meta/16.png,16,1,0,3.3
-Meta/17.png,17,1,0,3.21
-Meta/18.png,18,0,0,1.39
-Meta/19.png,19,0,0,1.2
-Meta/2.png,2,1,0,3.29
-Meta/20.png,20,0,0,1.1
-Meta/21.png,21,0,0,1.3.2
-Meta/22.png,22,0,0,1.1
-Meta/23.png,23,0,0,1.13
-Meta/24.png,24,0,0,1.5.2
-Meta/25.png,25,0,0,1.37
-Meta/26.png,26,0,0,1.24
-Meta/28.png,28,0,0,1.33
-Meta/29.png,29,0,0,1.34
-Meta/3.png,3,1,0,3.29
-Meta/30.png,30,0,0,None
-Meta/31.png,31,0,0,1.36
-Meta/32.png,32,1,3,3.42
-Meta/33.png,33,1,1,4.2
-Meta/34.png,34,1,1,4.3
-Meta/35.png,35,1,1,4.1
-Meta/36.png,36,1,1,4.4
-Meta/37.png,37,1,1,4.5
-Meta/38.png,38,1,1,4.7
-Meta/39.png,39,1,1,4.8
-Meta/4.png,4,1,0,3.29
-Meta/40.png,40,1,1,4.1
-Meta/41.png,41,1,3,3.26
-Meta/42.png,42,1,3,3.28
-Meta/5.png,5,1,0,3.29
-Meta/6.png,6,1,3,3.3
-Meta/7.png,7,1,0,3.29
-Meta/8.png,8,1,0,3.29
-Meta/9.png,9,1,0,3.25
+version https://git-lfs.github.com/spec/v1
+oid sha256:50b90aed8f9d4f071f841c3f2a92e4fc0378275fb6c7770849ec9f5937fc9cce
+size 1033

dataset_infos.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:430e0b16e2da844865cbd5f6cd55a99d96534ce96b699bcbe9d41dbd870679a6
-size 6139
+oid sha256:9eee3b1780fa2e64c2be9c1d0faf0984dabfa6fa8278ad4feb00518361aa8877
+size 6646

gtsrb.py

@@ -21,6 +21,7 @@ import datasets
 from datasets import Dataset, DatasetDict
 
 import os
+from datasets.tasks import ImageClassification
 
 
 logger = datasets.logging.get_logger(__name__)
@@ -72,11 +73,13 @@ _FEATURES = datasets.Features({
     "Roi.Y1": datasets.Value("uint8"),
     "Roi.X2": datasets.Value("uint8"),
     "Roi.Y2": datasets.Value("uint8"),
-    "ClassId": datasets.Value("uint8"),
+    "ClassId": datasets.ClassLabel(num_classes=43),
     "Path": datasets.Image("png"),
     # "Path": datasets.Value("string"),
 })
 
+_IMAGES_DIR = "GTSRB/Images"
+
 _URL = "https://github.com/bazylhorsey/gtsrb/archive/refs/tags/0.0.0.tar.gz"
 
 
@@ -119,27 +122,31 @@ class GTSRB(datasets.GeneratorBasedBuilder):
             homepage="https://benchmark.ini.rub.de/gtsrb_news.html",
             citation=_CITATION,
             license="gnu public license",
+            task_templates=[ImageClassification(image_column="Path", label_column="ClassId")],
+
         )
 
     def _split_generators(self, dl_manager):
+        archive_path = dl_manager.download(_URL)
 
-        print("success")
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN, 
                 gen_kwargs={
                     "filepath": "Train.csv",
+                    "images": dl_manager.startswith("GTSRB/Train/").iter_archive(archive_path),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST, 
                 gen_kwargs={
                     "filepath": "Test.csv",
+                    "images": dl_manager.startswith("GTSRB/Test/").iter_archive(archive_path),
                 }
             ),
         ]
 
-    def _generate_examples(self, filepath):
+    def _generate_examples(self, images, filepath):
         """This function returns the examples in the raw (text) form."""
         # logger.info("generating examples from = %s", filepath)
         # key = 0
@@ -165,18 +172,30 @@ class GTSRB(datasets.GeneratorBasedBuilder):
         #                     },
         #                 }
         #                 key += 1
+        # with open(filepath, encoding="utf-8") as f:
+        #     reader = csv.reader(f)
+        #     for id_, row in enumerate(reader):
+        #         if id_ == 0:
+        #             continue
+        #         yield id_, {
+        #             "Width": int(row[0]),
+        #             "Height": int(row[1]),
+        #             "Roi.X1": int(row[2]),
+        #             "Roi.Y1": int(row[3]),
+        #             "Roi.X2": int(row[4]),
+        #             "Roi.Y2": int(row[5]),
+        #             "ClassId": int(row[6]),
+        #             "Path": str(row[7]),
+        #     }
+
         with open(filepath, encoding="utf-8") as f:
-            reader = csv.reader(f)
-            for id_, row in enumerate(reader):
-                if id_ == 0:
-                    continue
-                yield id_, {
-                    "Width": int(row[0]),
-                    "Height": int(row[1]),
-                    "Roi.X1": int(row[2]),
-                    "Roi.Y1": int(row[3]),
-                    "Roi.X2": int(row[4]),
-                    "Roi.Y2": int(row[5]),
-                    "ClassId": int(row[6]),
-                    "Path": str(row[7]),
-            }
+            files_to_keep = set(f.read().split("\n"))
+        for file_path, file_obj in images:
+            print(file_path, file_obj)
+            if file_path.startswith(_IMAGES_DIR):
+                if file_path[len(_IMAGES_DIR) : -len(".jpg")] in files_to_keep:
+                    label = file_path.split("/")[2]
+                    yield file_path, {
+                        "image": {"path": file_path, "bytes": file_obj.read()},
+                        "label": label,
+                    }