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import numpy as np |
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import matplotlib.pyplot as plt |
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def simple_cmfd_decoder(busterNetModel, rgb): |
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"""A simple BusterNet CMFD decoder""" |
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single_sample_batch = np.expand_dims(rgb, axis=0) |
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pred = busterNetModel.predict(single_sample_batch)[0] |
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return pred |
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def visualize_result(rgb, gt, pred, figsize=(12, 4), title=None): |
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"""Visualize raw input, ground truth, and BusterNet result""" |
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fig = plt.figure(figsize=figsize) |
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plt.subplot(1, 3, 1) |
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plt.imshow(rgb) |
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plt.title("input image") |
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plt.subplot(1, 3, 2) |
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plt.title("ground truth") |
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plt.imshow(gt) |
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plt.subplot(1, 3, 3) |
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plt.imshow(pred) |
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plt.title("busterNet pred") |
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return fig |
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