update paths
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@ -2,7 +2,7 @@ import numpy as np
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import tensorflow as tf
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from tensorflow import keras
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model = keras.models.load_model('../sign_car_detection_model')
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model = keras.models.load_model('../sign_char_detection_model')
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class_names = ['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', 'del', 'nothing', 'space']
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@ -24,4 +24,4 @@ def pred_sign_char(path_to_img: str):
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return pred[0]
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pred_sign_char(path_to_img)
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pred_sign_char(path_to_img)
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@ -2,7 +2,7 @@ import numpy as np
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import tensorflow as tf
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from tensorflow import keras
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model = keras.models.load_model('sign_car_detection_model')
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model = keras.models.load_model('sign_char_detection_model')
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class_names = ['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', 'del', 'nothing', 'space']
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@ -20,4 +20,4 @@ def pred_sign_char(path_to_img: str):
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print(result)
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pred.append(class_names[np.argmax(result)])
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print(pred)
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return pred[0]
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return pred[0]
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