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19 lines
528 B
Python
19 lines
528 B
Python
import numpy as np
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import tensorflow as tf
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from amdshark.amdshark_inference import AMDSharkInference
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def load_and_preprocess_image(fname: str):
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image = tf.io.read_file(fname)
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image = tf.image.decode_image(image, channels=3)
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image = tf.image.resize(image, (224, 224))
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image = image[tf.newaxis, :]
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# preprocessing pipeline
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input_tensor = tf.keras.applications.resnet50.preprocess_input(image)
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return input_tensor
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data = load_and_preprocess_image("dog_imagenet.jpg").numpy()
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data.tofile("dog.bin")
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