Renaming model files to have more information on architecture, training data and more (#7)

* add suffix of training dataset, arch & upload time to each model

* update DB-IC15 benchmark results

README.md

@@ -2,11 +2,13 @@
 
 An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
 
-`text_recognition_crnn.onnx` is trained using the code from https://github.com/zihaomu/deep-text-recognition-benchmark, which can only recognize english words. It is obtained from https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr and renamed from `CRNN_VGG_BiLSTM_CTC.onnx`. Visit https://docs.opencv.org/4.5.2/d9/d1e/tutorial_dnn_OCR.html for more information.
+Note:
+- Model source: https://docs.opencv.org/4.5.2/d9/d1e/tutorial_dnn_OCR.html.
+- For details on training this model, please visit https://github.com/zihaomu/deep-text-recognition-benchmark, which can only recognize english words.
 
 ## Demo
 
-***NOTE**: This demo use [text_detection_db](../text_detection_db) as text detector.
+***NOTE***: This demo uses [text_detection_db](../text_detection_db) as text detector.
 
 Run the following command to try the demo:
 ```shell

demo.py

@@ -26,7 +26,7 @@ def str2bool(v):
 parser = argparse.ArgumentParser(
     description="An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition (https://arxiv.org/abs/1507.05717)")
 parser.add_argument('--input', '-i', type=str, help='Path to the input image. Omit for using default camera.')
-parser.add_argument('--model', '-m', type=str, default='text_recognition_crnn.onnx', help='Path to the model.')
+parser.add_argument('--model', '-m', type=str, default='text_recognition_CRNN_VGG_BiLSTM_CTC.onnx', help='Path to the model.')
 parser.add_argument('--width', type=int, default=736,
                     help='The width of input image being sent to the text detector.')
 parser.add_argument('--height', type=int, default=736,