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27 lines
1.0 KiB
Python
27 lines
1.0 KiB
Python
import numpy as np
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from PIL import Image
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from torch.utils.tensorboard import SummaryWriter
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from trains import Task
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task = Task.init(project_name='examples', task_name='pytorch tensorboard toy example')
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writer = SummaryWriter(log_dir='/tmp/tensorboard_logs')
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# convert to 4d [batch, col, row, RGB-channels]
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image_open = Image.open('./samples/picasso.jpg')
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image = np.asarray(image_open)
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image_gray = image[:, :, 0][np.newaxis, :, :, np.newaxis]
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image_rgba = np.concatenate((image, 255*np.atleast_3d(np.ones(shape=image.shape[:2], dtype=np.uint8))), axis=2)
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image_rgba = image_rgba[np.newaxis, :, :, :]
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image = image[np.newaxis, :, :, :]
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writer.add_image("test/first", image[0], dataformats='HWC')
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writer.add_image("test_gray/second", image_gray[0], dataformats='HWC')
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writer.add_image("test_rgba/third", image_rgba[0], dataformats='HWC')
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# writer.add_image("image/first_series", image, max_outputs=10)
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# writer.add_image("image_gray/second_series", image_gray, max_outputs=10)
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# writer.add_image("image_rgba/third_series", image_rgba, max_outputs=10)
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print('Done!')
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