update readme

Author: Charles-258

models/text_recognition_crnn/README.md

@@ -2,11 +2,32 @@
 
 An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
 
+Results of accuracy evaluation by ICDAR2003:
+
+| Models | Accuracy |
+| ------ | -------------- |
+| CRNN_EN | 0.8166 |
+| CRNN_EN_FP16 | 0.8201 |
+| CRNN_CH | 0.7128 |
+| CRNN_CH_FP16 | 0.7863 |
+
+Results of accuracy evaluation IIIT5k-Words:
+
+| Models | Accuracy |
+| ------ | -------------- |
+| CRNN_EN | 0.7433 |
+| CRNN_EN_FP16 | 0.7493 |
+| CRNN_CH | 0.8090 | 
+| CRNN_CH_FP16 | 0.8093 | 
+\*: 'FP16' stands for 'model quantized into FP16'.
+
 Note:
 - Model source:
     - `text_recognition_CRNN_EN_2021sep.onnx`: https://docs.opencv.org/4.5.2/d9/d1e/tutorial_dnn_OCR.html (CRNN_VGG_BiLSTM_CTC.onnx)
+    - `text_recognition_CRNN_CH_2021sep.onnx`: https://docs.opencv.org/4.x/d4/d43/tutorial_dnn_text_spotting.html (crnn_cs.onnx)
     - `text_recognition_CRNN_CN_2021nov.onnx`: https://docs.opencv.org/4.5.2/d4/d43/tutorial_dnn_text_spotting.html (crnn_cs_CN.onnx)
 - `text_recognition_CRNN_EN_2021sep.onnx` can detect digits (0\~9) and letters (return lowercase letters a\~z) (view `charset_36_EN.txt` for details).
+- `text_recognition_CRNN_CH_2021sep.onnx` can detect digits (0\~9), upper/lower-case letters (a\~z and A\~Z), and some special characters (view `charset_94_CH.txt` for details).
 - `text_recognition_CRNN_CN_2021nov.onnx` can detect digits (0\~9), upper/lower-case letters (a\~z and A\~Z), some Chinese characters and some special characters (view `charset_3944_CN.txt` for details).
 - For details on training this model series, please visit https://github.com/zihaomu/deep-text-recognition-benchmark.
 
@@ -16,6 +37,7 @@ Note:
 - This demo uses [text_detection_db](../text_detection_db) as text detector.
 - Selected model must match with the charset:
     - Try `text_recognition_CRNN_EN_2021sep.onnx` with `charset_36_EN.txt`.
+    - Try `text_recognition_CRNN_CH_2021sep.onnx` with `charset_94_CH.txt`
     - Try `text_recognition_CRNN_CN_2021sep.onnx` with `charset_3944_CN.txt`.
 
 Run the demo detecting English: