[update]add code

.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -2,6 +2,7 @@
 .git/
 .idea/
 
+data/
 hub_datasets/
 
 **/__pycache__/

cppe-5.py → cppe5.py

@@ -1,26 +1,19 @@
-# coding=utf-8
-# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""CPPE-5 dataset."""
-
-
-import collections
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+from glob import glob
 import json
 import os
+from pathlib import Path
 
 import datasets
 
+# _URL = "https://drive.google.com/uc?id=1MGnaAfbckUmigGUvihz7uiHGC6rBIbvr"
+
+_HOMEPAGE = "https://sites.google.com/view/cppe5"
+
+_LICENSE = "Unknown"
+
+_CATEGORIES = ["Coverall", "Face_Shield", "Gloves", "Goggles", "Mask"]
 
 _CITATION = """\
 @misc{dagli2021cppe5,
@@ -39,15 +32,6 @@ to allow the study of subordinate categorization of medical personal protective
 which is not possible with other popular data sets that focus on broad level categories.
 """
 
-_HOMEPAGE = "https://sites.google.com/view/cppe5"
-
-_LICENSE = "Unknown"
-
-# _URL = "https://drive.google.com/uc?id=1MGnaAfbckUmigGUvihz7uiHGC6rBIbvr"
-_URL = "data/dataset.tar.gz"
-
-_CATEGORIES = ["Coverall", "Face_Shield", "Gloves", "Goggles", "Mask"]
-
 
 class CPPE5(datasets.GeneratorBasedBuilder):
     """CPPE - 5 dataset."""
@@ -80,56 +64,53 @@ class CPPE5(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        archive = dl_manager.download(_URL)
+        """Returns SplitGenerators."""
+        train_json = dl_manager.download("data/annotations/train.jsonl")
+        test_json = dl_manager.download("data/annotations/test.jsonl")
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "annotation_file_path": "annotations/train.json",
-                    "files": dl_manager.iter_archive(archive),
+                    "archive_path": train_json,
+                    "dl_manager": dl_manager,
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "annotation_file_path": "annotations/test.json",
-                    "files": dl_manager.iter_archive(archive),
+                    "archive_path": test_json,
+                    "dl_manager": dl_manager,
                 },
             ),
         ]
 
-    def _generate_examples(self, annotation_file_path, files):
-        def process_annot(annot, category_id_to_category):
-            return {
-                "id": annot["id"],
-                "area": annot["area"],
-                "bbox": annot["bbox"],
-                "category": category_id_to_category[annot["category_id"]],
-            }
+    def _generate_examples(self, archive_path, dl_manager):
+        """Yields examples."""
+        archive_path = Path(archive_path)
 
-        image_id_to_image = {}
         idx = 0
-        # This loop relies on the ordering of the files in the archive:
-        # Annotation files come first, then the images.
-        for path, f in files:
-            file_name = os.path.basename(path)
-            if path == annotation_file_path:
-                annotations = json.load(f)
-                category_id_to_category = {category["id"]: category["name"] for category in annotations["categories"]}
-                image_id_to_annotations = collections.defaultdict(list)
-                for annot in annotations["annotations"]:
-                    image_id_to_annotations[annot["image_id"]].append(annot)
-                image_id_to_image = {annot["file_name"]: annot for annot in annotations["images"]}
-            elif file_name in image_id_to_image:
-                image = image_id_to_image[file_name]
-                objects = [
-                    process_annot(annot, category_id_to_category) for annot in image_id_to_annotations[image["id"]]
-                ]
+
+        with open(archive_path, "r", encoding="utf-8") as f:
+            for row in f:
+                sample = json.loads(row)
+
+                file_path = sample["image"]
+                file_path = os.path.join("data/images", file_path)
+                file_path = dl_manager.download(file_path)
+
+                with open(file_path, "rb") as image_f:
+                    image_bytes = image_f.read()
+
                 yield idx, {
-                    "image_id": image["id"],
-                    "image": {"path": path, "bytes": f.read()},
-                    "width": image["width"],
-                    "height": image["height"],
-                    "objects": objects,
+                    "image_id": sample["image_id"],
+                    "image": {"path": file_path, "bytes": image_bytes},
+                    "width": sample["width"],
+                    "height": sample["height"],
+                    "objects": sample["objects"],
                 }
                 idx += 1
+
+
+if __name__ == '__main__':
+    pass

data/dataset.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1151086e59fcb87825ecf4d362847a3f023ba69e7ace0f513d5aadc0e3dd3094
-size 238482705

examples/make_jsonl.py

@@ -0,0 +1,59 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+from collections import defaultdict
+import json
+
+from project_settings import project_path
+
+
+def main():
+
+    for subset in ["train", "test"]:
+        filename = project_path / "data/annotations/{}.json".format(subset)
+        with open(filename.as_posix(), "r", encoding="utf-8") as f:
+            js = json.load(f)
+
+        images = js["images"]
+        type_ = js["type"]
+        annotations = js["annotations"]
+        categories = js["categories"]
+
+        index_to_label = dict()
+        for category in categories:
+            index = category["id"]
+            name = category["name"]
+            index_to_label[index] = name
+
+        # print(images)
+        image_id_to_annotations = defaultdict(list)
+        for annotation in annotations:
+            image_id = annotation["image_id"]
+            image_id_to_annotations[image_id].append(annotation)
+
+        with open("{}.jsonl".format(subset), "w", encoding="utf-8") as f:
+            for image in images:
+                image_id = image["id"]
+                annotations = image_id_to_annotations[image_id]
+
+                row = {
+                    "image_id": image["id"],
+                    "image": image["file_name"],
+                    "width": image["width"],
+                    "height": image["height"],
+                    "objects": [
+                        {
+                            "id": annotation["id"],
+                            "area": annotation["area"],
+                            "bbox": annotation["bbox"],
+                            "category": index_to_label[annotation["category_id"]],
+                        } for annotation in annotations
+                    ]
+                }
+                row = json.dumps(row, ensure_ascii=False)
+                f.write("{}\n".format(row))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

main.py

@@ -0,0 +1,16 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+from datasets import load_dataset
+
+dataset = load_dataset(
+    "cppe5.py",
+    name=None,
+    split="train",
+)
+
+for sample in dataset:
+    print(sample)
+
+
+if __name__ == '__main__':
+    pass

project_settings.py

@@ -0,0 +1,12 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import os
+from pathlib import Path
+
+
+project_path = os.path.abspath(os.path.dirname(__file__))
+project_path = Path(project_path)
+
+
+if __name__ == '__main__':
+    pass

requirements.txt

@@ -0,0 +1,3 @@
+datasets==2.10.1
+tqdm==4.66.1
+Pillow==9.4.0