Add CRNN_CN for recognizing Chinese

README.md

@@ -19,7 +19,8 @@ Guidelines:
 | [YuNet](./models/face_detection_yunet)   | 160x120 | 1.45   | 6.22    | 12.18 |
 | [DB-IC15](./models/text_detection_db)    | 640x480 | 142.91 | 2835.91 | 208.41 |
 | [DB-TD500](./models/text_detection_db)   | 640x480 | 142.91 | 2841.71 | 210.51 |
-| [CRNN](./models/text_recognition_crnn)   | 100x32  | 50.21  | 234.32  | 196.15 |
+| [CRNN-EN](./models/text_recognition_crnn)   | 100x32  | 50.21  | 234.32  | 196.15 |
+| [CRNN-CN](./models/text_recognition_crnn)   | 100x32  | 73.52  | 322.16  | 239.76 |
 | [SFace](./models/face_recognition_sface) | 112x112 | 8.65 | 99.20 | 24.88 |
 | [PP-ResNet](./models/image_classification_ppresnet) | 224x224 | 56.05 | 602.58 | 98.64 |
 | [PP-HumanSeg](./models/human_segmentation_pphumanseg) | 192x192 | 19.92 | 105.32 | 67.97 |

benchmark/config/text_recognition_crnn_cn.yaml

@@ -0,0 +1,17 @@
+Benchmark:
+  name: "Text Recognition Benchmark"
+  type: "Recognition"
+  data:
+    path: "benchmark/data/text"
+    files: ["1.jpg", "2.jpg", "3.jpg"]
+  metric: # 'sizes' is omitted since this model requires input of fixed size
+    warmup: 30
+    repeat: 10
+    reduction: "median"
+  backend: "default"
+  target: "cpu"
+
+Model:
+  name: "CRNN"
+  modelPath: "models/text_recognition_crnn/text_recognition_CRNN_CN_2021nov.onnx"
+  charsetPath: "models/text_recognition_crnn/charset_3944_CN.txt"

benchmark/config/text_recognition_crnn.yaml → benchmark/config/text_recognition_crnn_en.yaml

@@ -13,4 +13,5 @@ Benchmark:
 
 Model:
   name: "CRNN"
-  modelPath: "models/text_recognition_crnn/text_recognition_CRNN_VGG_BiLSTM_CTC_2021sep.onnx"
+  modelPath: "models/text_recognition_crnn/text_recognition_CRNN_EN_2021sep.onnx"
+  charsetPath: "models/text_recognition_crnn/charset_36_EN.txt"

models/text_recognition_crnn/README.md

@@ -3,21 +3,37 @@
 An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
 
 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.
+- 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_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_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.
 
 ## Demo
 
-***NOTE***: This demo uses [text_detection_db](../text_detection_db) as text detector.
+***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_CN_2021sep.onnx` with `charset_3944_CN.txt`.
 
-Run the following command to try the demo:
+Run the demo detecting English:
 ```shell
 # detect on camera input
 python demo.py
 # detect on an image
 python demo.py --input /path/to/image
 ```
 
+Run the demo detecting Chinese:
+```shell
+# detect on camera input
+python demo.py --model text_recognition_CRNN_CN_2021nov.onnx --charset charset_3944_CN.txt
+# detect on an image
+python demo.py --input /path/to/image --model text_recognition_CRNN_CN_2021nov.onnx --charset charset_3944_CN.txt
+```
+
 ## License
 
 All files in this directory are licensed under [Apache 2.0 License](./LICENSE).

models/text_recognition_crnn/charset_36_EN.txt

@@ -0,0 +1,36 @@
+0
+1
+2
+3
+4
+5
+6
+7
+8
+9
+a
+b
+c
+d
+e
+f
+g
+h
+i
+j
+k
+l
+m
+n
+o
+p
+q
+r
+s
+t
+u
+v
+w
+x
+y
+z