306ff550f0ad54c01f922963be16ef96a0e1bbda,donkey/predictors/keras.py,ConvolutionPredictor,create,#ConvolutionPredictor#Any#,25

Before Change

        self.model_path = os.path.join(settings.MODELS_DIR, model_name)
        
        model = Sequential()
        model.add(Convolution1D(32, 3, input_shape=(128, 128)))
        model.add(Activation("relu"))
        model.add(MaxPooling1D(2))

        model.add(Convolution1D(32, 3))

After Change

        self.model_path = os.path.join(settings.MODELS_DIR, model_name)
        
        model = Sequential()
        model.add(Convolution2D(8, 3, 3, input_shape=(3, 120, 160)))
        model.add(Activation("relu"))
        model.add(MaxPooling2D(pool_size=(2, 2)))

        model.add(Convolution2D(12, 3, 3))
        model.add(Activation("relu"))
        model.add(MaxPooling2D(pool_size=(2, 2)))

        model.add(Convolution2D(16, 3, 3))
        model.add(Activation("relu"))
        model.add(MaxPooling2D(pool_size=(2, 2)))

        model.add(Convolution2D(32, 3, 3))
        model.add(Activation("relu"))
        model.add(MaxPooling2D(pool_size=(2, 2)))

Instances