update yunet to v2 (#151)

README.md

@@ -13,8 +13,8 @@ Results of accuracy evaluation with [tools/eval](../../tools/eval).
 
 | Models      | Easy AP | Medium AP | Hard AP |
 | ----------- | ------- | --------- | ------- |
-| YuNet       | 0.8498  | 0.8384    | 0.7357  |
-| YuNet quant | 0.7751  | 0.8145    | 0.7312  |
+| YuNet       | 0.8871  | 0.8710    | 0.7681  |
+| YuNet quant | 0.8838  | 0.8683    | 0.7676  |
 
 \*: 'quant' stands for 'quantized'.
 

demo.cpp

@@ -112,7 +112,7 @@ int main(int argc, char** argv)
     cv::CommandLineParser parser(argc, argv,
         "{help  h           |                                   | Print this message}"
         "{input i           |                                   | Set input to a certain image, omit if using camera}"
-        "{model m           | face_detection_yunet_2022mar.onnx | Set path to the model}"
+        "{model m           | face_detection_yunet_2023mar.onnx  | Set path to the model}"
         "{backend b         | opencv                            | Set DNN backend}"
         "{target t          | cpu                               | Set DNN target}"
         "{save s            | false                             | Whether to save result image or not}"

demo.py

@@ -27,8 +27,8 @@ backend_target_pairs = [
 parser = argparse.ArgumentParser(description='YuNet: A Fast and Accurate CNN-based Face Detector (https://github.com/ShiqiYu/libfacedetection).')
 parser.add_argument('--input', '-i', type=str,
                     help='Usage: Set input to a certain image, omit if using camera.')
-parser.add_argument('--model', '-m', type=str, default='face_detection_yunet_2022mar.onnx',
-                    help="Usage: Set model type, defaults to 'face_detection_yunet_2022mar.onnx'.")
+parser.add_argument('--model', '-m', type=str, default='face_detection_yunet_2023mar.onnx',
+                    help="Usage: Set model type, defaults to 'face_detection_yunet_2023mar.onnx'.")
 parser.add_argument('--backend_target', '-bt', type=int, default=0,
                     help='''Choose one of the backend-target pair to run this demo:
                         {:d}: (default) OpenCV implementation + CPU,