bump lpd_yunet opset version to 13 (#142)

tools/quantize/quantize-inc.py

@@ -130,9 +130,6 @@ models = dict(
     mp_handpose=Quantize(model_path='../../models/handpose_estimation_mediapipe/handpose_estimation_mediapipe_2022may.onnx',
                          config_path='./inc_configs/mp_handpose.yaml',
                          custom_dataset=Dataset(root='../../benchmark/data/palm_detection', dim='hwc', swapRB=True, mean=127.5, std=127.5, toFP32=True)),
-    lpd_yunet=Quantize(model_path='../../models/license_plate_detection_yunet/license_plate_detection_lpd_yunet_2022may.onnx',
-                       config_path='./inc_configs/lpd_yunet.yaml',
-                       custom_dataset=Dataset(root='../../benchmark/data/license_plate_detection', size=(320, 240), dim='chw', toFP32=True)),
     fer=Quantize(model_path='../../models/facial_expression_recognition/facial_expression_recognition_mobilefacenet_2022july.onnx',
                  config_path='./inc_configs/fer.yaml',
                  custom_dataset=FerDataset(root='../../benchmark/data/facial_expression_recognition/fer_calibration', size=(112, 112), toFP32=True, swapRB=True, scale=1./255, mean=0.5, std=0.5),

tools/quantize/quantize-ort.py

@@ -116,6 +116,9 @@ models=dict(
                         calibration_image_dir='path/to/dataset',
                         transforms=Compose([HandAlign("mp_handpose"), Resize(size=(224, 224)), Normalize(std=[255, 255, 255]),
                         ColorConvert(ctype=cv.COLOR_BGR2RGB)]), data_dim='hwc'),
+    lpd_yunet=Quantize(model_path='../../models/license_plate_detection_yunet/license_plate_detection_lpd_yunet_2023mar.onnx',
+                       calibration_image_dir='../../benchmark/data/license_plate_detection',
+                       transforms=Compose([Resize(size=(320, 240))])),
 )
 
 if __name__ == '__main__':