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38 lines
889 B
Python
38 lines
889 B
Python
# library imports
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import os
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from train import optimize_sample
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import matplotlib.pyplot as plt
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# local imports
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from utils.general import load_config
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from dataset import SMPLyDataset
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# load and select sample
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config = load_config()
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dataset = SMPLyDataset.from_config(config=config)
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sample_index = 55
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if os.getenv('SAMPLE_INDEX') is not None:
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sample_index = int(os.getenv('SAMPLE_INDEX'))
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# train for pose
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pose, camera_transformation, loss_history, step_imgs = optimize_sample(
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sample_index,
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dataset,
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config,
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interactive=True
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)
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# color = r.get_snapshot()
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# plt.imshow(color)
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# plt.show()
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# fig, ax = plt.subplots()
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# name = getfilename_from_conf(config=config, index=sample_index)
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# ax.plot(train_loss[1::], label='sgd')
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# ax.set(xlabel="Training iteration", ylabel="Loss", title='Training loss')
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# fig.savefig("results/" + name + ".png")
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# ax.legend()
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# plt.show()
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