Update hugging_face.py
Browse files- hugging_face.py +4 -49
hugging_face.py
CHANGED
@@ -72,6 +72,7 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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urls_to_download = {
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"dataset": "https://huggingface.co/datasets/ShixuanAn/RDD2020/resolve/main/RDD2020.zip"
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}
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@@ -110,10 +111,11 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
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]
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def _generate_examples(self, base_path, split):
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# Iterate over each country directory
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for country_dir in ['Czech', 'India', 'Japan']:
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images_dir = f"{
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annotations_dir = f"{
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# Iterate over each image in the country's image directory
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for image_file in os.listdir(images_dir):
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@@ -155,50 +157,3 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
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"crack_type": crack_type,
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"crack_coordinates": crack_coordinates,
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}
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def _generate_examples(self, base_path, split):
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# Iterate over each country directory
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print(base_path)
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for country_dir in ['Czech', 'India', 'Japan']:
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images_dir = f"{base_path}/{country_dir}/images"
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annotations_dir = f"{base_path}/{country_dir}/annotations/xmls" if split == "train" else None
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for image_file in os.listdir(images_dir):
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if image_file.endswith('.jpg'):
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image_id = f"{country_dir}_{image_file.split('.')[0]}"
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image_path = os.path.join(images_dir, image_file)
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# Initialize the lists to store the parsed data
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crack_types = []
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crack_coordinates = []
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if annotations_dir:
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annotation_file = image_id + '.xml'
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annotation_path = os.path.join(annotations_dir, annotation_file)
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if os.path.exists(annotation_path):
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# Parse the XML file
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tree = ET.parse(annotation_path)
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root = tree.getroot()
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# Extract the information
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for obj in root.findall('object'):
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crack_type = obj.find('name').text
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crack_types.append(crack_type)
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bndbox = obj.find('bndbox')
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coordinates = {
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"x_min": int(bndbox.find('xmin').text),
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"x_max": int(bndbox.find('xmax').text),
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"y_min": int(bndbox.find('ymin').text),
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"y_max": int(bndbox.find('ymax').text),
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}
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crack_coordinates.append(coordinates)
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# Yield the example as a dictionary
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yield image_id, {
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"image_id": image_id,
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"country": country_dir,
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"type": split,
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"image_path": image_path,
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"crack_type": crack_types,
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"crack_coordinates": crack_coordinates,
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}
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)
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def _split_generators(self, dl_manager):
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+
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urls_to_download = {
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"dataset": "https://huggingface.co/datasets/ShixuanAn/RDD2020/resolve/main/RDD2020.zip"
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}
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]
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def _generate_examples(self, base_path, split):
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print(base_path)
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# Iterate over each country directory
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for country_dir in ['Czech', 'India', 'Japan']:
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images_dir = f"{base_path}/{country_dir}/images"
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annotations_dir = f"{base_path}/{country_dir}/annotations/xmls" if split == "train" else None
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# Iterate over each image in the country's image directory
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for image_file in os.listdir(images_dir):
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"crack_type": crack_type,
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"crack_coordinates": crack_coordinates,
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}
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