optimum/amd/ryzenai/models/yolov3/image_processing_yolov3.py [87:100]:
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    def preprocess(
        self,
        images: ImageInput,
        return_tensors: Optional[Union[TensorType, str]] = None,
        data_format: Optional[Union[str, ChannelDimension]] = None,
        input_data_format: Optional[Union[str, ChannelDimension]] = None,
    ) -> BatchFeature:
        data_format = data_format if data_format is not None else self.data_format
        self.data_format = data_format

        images = make_list_of_images(images)

        # All transformations expect numpy arrays
        images = [to_numpy_array(image) for image in images]
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optimum/amd/ryzenai/models/yolox/image_processing_yolox.py [116:129]:
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    def preprocess(
        self,
        images: ImageInput,
        return_tensors: Optional[Union[TensorType, str]] = None,
        data_format: Optional[Union[str, ChannelDimension]] = None,
        input_data_format: Optional[Union[str, ChannelDimension]] = None,
    ) -> BatchFeature:
        data_format = data_format if data_format is not None else self.data_format
        self.data_format = data_format

        images = make_list_of_images(images)

        # All transformations expect numpy arrays
        images = [to_numpy_array(image) for image in images]
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