Datasets:
Update README.md
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README.md
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@@ -865,6 +865,13 @@ The Crello dataset has 3 splits: train, validation, and test. The current split
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Each example can be visualized in the following approach. Note the following does not guarantee a similar appearance to the original template.
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```python
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def render(dataset: datasets.Dataset, example: Dict[str, Any], max_size: float=512.) -> bytes:
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"""Render parsed sequence example onto an image and return as PNG bytes."""
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canvas_width = int(dataset.features["canvas_width"].int2str(example["canvas_width"]))
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for index in range(example["length"]):
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pil_image = example["image"][index]
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image = skia.Image.frombytes(
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pil_image.convert(
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pil_image.size,
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skia.kRGBA_8888_ColorType)
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left = example["left"][index] * canvas_width
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rect = skia.Rect.MakeXYWH(left, top, width, height)
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angle = example["angle"][index]
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canvas.drawImageRect(image, rect)
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if angle != 0:
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canvas.restore()
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image = surface.makeImageSnapshot()
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with io.BytesIO() as f:
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Each example can be visualized in the following approach. Note the following does not guarantee a similar appearance to the original template.
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```python
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import io
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from typing import Any, Dict
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import numpy as np
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import skia
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def render(dataset: datasets.Dataset, example: Dict[str, Any], max_size: float=512.) -> bytes:
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"""Render parsed sequence example onto an image and return as PNG bytes."""
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canvas_width = int(dataset.features["canvas_width"].int2str(example["canvas_width"]))
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for index in range(example["length"]):
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pil_image = example["image"][index]
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image = skia.Image.frombytes(
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pil_image.convert('RGBA').tobytes(),
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pil_image.size,
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skia.kRGBA_8888_ColorType)
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left = example["left"][index] * canvas_width
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rect = skia.Rect.MakeXYWH(left, top, width, height)
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angle = example["angle"][index]
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with skia.AutoCanvasRestore(canvas):
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if angle != 0:
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degree = 180. * angle / np.pi
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canvas.rotate(degree, left + width / 2., top + height / 2.)
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canvas.drawImageRect(image, rect)
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image = surface.makeImageSnapshot()
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with io.BytesIO() as f:
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