chroe: remove script and use automatic dataset

.gitattributes

@@ -1,55 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
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-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
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-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
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-*.onnx filter=lfs diff=lfs merge=lfs -text
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-*.pickle filter=lfs diff=lfs merge=lfs -text
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-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
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-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text

README.md

@@ -5,6 +5,11 @@ tags:
 - watermak
 - computer-vision
 - object-detection
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "data/train"
 ---
 # Dataset Card for Dataset Name
 
@@ -18,8 +23,6 @@ This dataset card aims to be a base template for new datasets. It has been gener
 
 <!-- Provide a longer summary of what this dataset is. -->
 
-
-
 - **Curated by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
@@ -142,4 +145,4 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 ## Dataset Card Contact
 
-[More Information Needed]
+[More Information Needed]

data/text/train.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:193fa1a526de000aabfaa23881755180ac8cf5ddea28fa3813d25301037c5c0c
-size 1586286

data/train/watermarked_train_27.json

@@ -0,0 +1 @@
+[{"label": "text", "bbox": [68, 92, 80, 223]}]

visible-watermark-pita.py

@@ -1,99 +0,0 @@
-import os
-from glob import glob
-
-import datasets
-import json
-from PIL import Image
-
-_DESCRIPTION = """\
-    Watermark Dataset
-"""
-
-_VERSION = datasets.Version("1.0.0")
-
-
-class WatermarkPitaConfig(datasets.BuilderConfig):
-    """Builder Config for Food-101"""
-
-    def __init__(self, urls, categories, **kwargs):
-        """BuilderConfig for Food-101.
-
-        Args:
-            repository: `string`, the name of the repository.
-            urls: `dict<string, string>`, the urls to the data.
-            categories: `list<string>`, the categories of the data.
-
-            **kwargs: keyword arguments forwarded to super.
-        """
-        _VERSION = datasets.Version("1.0.0")
-
-        super(WatermarkPitaConfig, self).__init__(version=_VERSION, **kwargs)
-        self.urls = urls
-        self.categories = categories
-
-
-class WatermarkPita(datasets.GeneratorBasedBuilder):
-    """Watermark Dataset"""
-
-    BUILDER_CONFIGS = [
-        WatermarkPitaConfig(
-            name="text",
-            urls={"train": "data/text/train.zip", "valid": "data/text/valid.zip"},
-            categories=["text"],
-        ),
-        WatermarkPitaConfig(
-            name="logo",
-            urls={"train": "data/logo/train.zip", "valid": "data/logo/valid.zip"},
-            categories=["logo"],
-        ),
-        WatermarkPitaConfig(
-            name="mixed",
-            urls={"train": "data/mixed/train.zip", "valid": "data/mixed/valid.zip"},
-            categories=["logo", "text"],
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "text"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features(
-                {
-                    "image": datasets.Image(),
-                    "objects": datasets.Sequence(
-                        {
-                            "label": datasets.ClassLabel(names=self.config.categories),
-                            "bbox": datasets.features.Sequence(datasets.Value("int32"), length=4),
-                        }
-                    ),
-                }
-            ),
-            description=_DESCRIPTION,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(self.config.urls)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"split": "train", "data_dir": data_dir["train"]},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"split": "valid", "data_dir": data_dir["valid"]},
-            ),
-        ]
-
-    def _generate_examples(self, split, data_dir):
-        image_dir = os.path.join(data_dir, "images")
-        label_dir = os.path.join(data_dir, "labels")
-
-        image_paths = sorted(glob(image_dir + "/*.jpg"))
-        label_paths = sorted(glob(label_dir + "/*.json"))
-
-        for idx, (image_path, label_path) in enumerate(zip(image_paths, label_paths)):
-            with open(label_path, "r") as f:
-                bboxes = json.load(f)
-
-            yield idx, {"image": image_path, "objects": bboxes}