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import argparse
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import numpy as np
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from dataset import read_IAM_label_txt_file
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def list_unique_characters_in_IAM_dataset(FLAGS):
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_, all_labels = read_IAM_label_txt_file(FLAGS.file_txt_labels)
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num_labels = len(all_labels)
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print(f"num labels : {num_labels}")
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unique_chars = []
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for label in all_labels:
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unique_chars = unique_chars + list(np.unique(np.array(list(label))))
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unique_chars = sorted(unique_chars)
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unique_chars = np.array(unique_chars)
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unique_chars = np.unique(unique_chars)
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unique_chars = "".join(unique_chars)
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print(unique_chars)
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print(f"Number of unique characters : {len(unique_chars)}")
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return
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def main():
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file_txt_labels = (
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"/home/abhishek/Desktop/RUG/hw_recognition/IAM-data/iam_lines_gt.txt"
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)
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parser = argparse.ArgumentParser(
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formatter_class=argparse.ArgumentDefaultsHelpFormatter
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)
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parser.add_argument(
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"--file_txt_labels",
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default=file_txt_labels,
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type=str,
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help="full path to label text file",
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)
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FLAGS, unparsed = parser.parse_known_args()
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list_unique_characters_in_IAM_dataset(FLAGS)
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return
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if __name__ == "__main__":
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main()
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