mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-07 19:05:02 -04:00
7f7f110933
* Rewrite extract.py, make code re-usable for conversion too. * Add convert.py, adding command line options
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
import cv2
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import numpy
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from pathlib import Path
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from scandir import scandir
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def get_folder(path):
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output_dir = Path(path)
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# output_dir.mkdir(parents=True, exist_ok=True)
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return output_dir
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def get_image_paths(directory):
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return [x.path for x in scandir(directory) if x.name.endswith('.jpg') or x.name.endswith('.png')]
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def load_images(image_paths, convert=None):
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iter_all_images = (cv2.imread(fn) for fn in image_paths)
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if convert:
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iter_all_images = (convert(img) for img in iter_all_images)
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for i, image in enumerate(iter_all_images):
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if i == 0:
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all_images = numpy.empty((len(image_paths), ) + image.shape, dtype=image.dtype)
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all_images[i] = image
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return all_images
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def get_transpose_axes(n):
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if n % 2 == 0:
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y_axes = list(range(1, n - 1, 2))
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x_axes = list(range(0, n - 1, 2))
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else:
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y_axes = list(range(0, n - 1, 2))
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x_axes = list(range(1, n - 1, 2))
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return y_axes, x_axes, [n - 1]
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def stack_images(images):
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images_shape = numpy.array(images.shape)
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new_axes = get_transpose_axes(len(images_shape))
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new_shape = [numpy.prod(images_shape[x]) for x in new_axes]
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return numpy.transpose(
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images,
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axes=numpy.concatenate(new_axes)
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).reshape(new_shape)
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