@ -192,7 +192,7 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
|
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os.makedirs(directory)
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comparison = k.concatenate([x[:64], x_decoded[:64]], axis=0)
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grid = prepare_image(comparison.cpu(), nrow=64)
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summary_ops_v2.image(name='reconstruction_' + str(epoch), tensor=grid, max_images=1)
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summary_ops_v2.image(name='reconstruction_' + str(epoch), tensor=k.expand_dims(grid, axis=0), max_images=1)
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from PIL import Image
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filename = 'results' + str(inlier_classes[0]) + '/reconstruction_' + str(epoch) + '.png'
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ndarr = grid.cpu().numpy()
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@ -220,7 +220,7 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
|
||||
directory = 'results' + str(inlier_classes[0])
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||||
os.makedirs(directory, exist_ok=True)
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||||
grid = prepare_image(resultsample)
|
||||
summary_ops_v2.image(name='sample_' + str(epoch), tensor=grid, max_images=1)
|
||||
summary_ops_v2.image(name='sample_' + str(epoch), tensor=k.expand_dims(grid, axis=0), max_images=1)
|
||||
from PIL import Image
|
||||
filename = 'results' + str(inlier_classes[0]) + '/sample_' + str(epoch) + '.png'
|
||||
ndarr = grid.cpu().numpy()
|
||||
|
||||
Reference in New Issue
Block a user