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deploy: 7d699a4c61838f1596e1cfa9c53f636c1c4126e5
Browse files- layout-alignment.py +2 -2
layout-alignment.py
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@@ -20,7 +20,7 @@ Returns:
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Examples:
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Example 1: Single processing
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>>> metric = evaluate.load("
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>>> model_max_length, num_coordinates = 25, 4
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>>> bbox = np.random.rand(model_max_length, num_coordinates)
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>>> mask = np.random.choice(a=[True, False], size=(model_max_length,))
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@@ -28,7 +28,7 @@ Examples:
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>>> print(metric.compute())
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Example 2: Batch processing
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>>> metric = evaluate.load("
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>>> batch_size, model_max_length, num_coordinates = 512, 25, 4
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>>> batch_bbox = np.random.rand(batch_size, model_max_length, num_coordinates)
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>>> batch_mask = np.random.choice(a=[True, False], size=(batch_size, model_max_length))
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Examples:
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Example 1: Single processing
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>>> metric = evaluate.load("creative-graphic-design/layout-alignment")
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>>> model_max_length, num_coordinates = 25, 4
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>>> bbox = np.random.rand(model_max_length, num_coordinates)
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>>> mask = np.random.choice(a=[True, False], size=(model_max_length,))
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>>> print(metric.compute())
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Example 2: Batch processing
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>>> metric = evaluate.load("creative-graphic-design/layout-alignment")
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>>> batch_size, model_max_length, num_coordinates = 512, 25, 4
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>>> batch_bbox = np.random.rand(batch_size, model_max_length, num_coordinates)
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>>> batch_mask = np.random.choice(a=[True, False], size=(batch_size, model_max_length))
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