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1.) Number of words(in logarithmic scale) vs Word Length
2.) Distribution of word-averaged erroneous character rate (WA-ECR) as a function of length, for different models
To obtain these plots, run:
conda activate hcr
python visualize/obtain_waecr_plot.py <test_file_path> <predicted_test_file_byaocr_path> <predicted_test_file_by_crnn_path> <actual_crnn_test_file_path>