128 lines
4.8 KiB
Python
128 lines
4.8 KiB
Python
import pydiffvg
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import diffvg
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from matplotlib import cm
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import matplotlib.pyplot as plt
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import argparse
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import torch
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def normalize(x, min_, max_):
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range = max(abs(min_), abs(max_))
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return (x + range) / (2 * range)
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def main(args):
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canvas_width, canvas_height, shapes, shape_groups = \
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pydiffvg.svg_to_scene(args.svg_file)
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w = int(canvas_width * args.size_scale)
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h = int(canvas_height * args.size_scale)
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pfilter = pydiffvg.PixelFilter(type = diffvg.FilterType.box,
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radius = torch.tensor(0.5))
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use_prefiltering = False
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scene_args = pydiffvg.RenderFunction.serialize_scene(\
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canvas_width, canvas_height, shapes, shape_groups,
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filter = pfilter,
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use_prefiltering = use_prefiltering)
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num_samples_x = 16
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num_samples_y = 16
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render = pydiffvg.RenderFunction.apply
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img = render(w, # width
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h, # height
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num_samples_x, # num_samples_x
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num_samples_y, # num_samples_y
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0, # seed
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None,
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*scene_args)
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pydiffvg.imwrite(img.cpu(), 'results/finite_difference_comp/img.png', gamma=1.0)
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epsilon = 0.1
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def perturb_scene(axis, epsilon):
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shapes[2].points[:, axis] += epsilon
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# for s in shapes:
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# if isinstance(s, pydiffvg.Circle):
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# s.center[axis] += epsilon
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# elif isinstance(s, pydiffvg.Ellipse):
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# s.center[axis] += epsilon
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# elif isinstance(s, pydiffvg.Path):
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# s.points[:, axis] += epsilon
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# elif isinstance(s, pydiffvg.Polygon):
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# s.points[:, axis] += epsilon
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# elif isinstance(s, pydiffvg.Rect):
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# s.p_min[axis] += epsilon
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# s.p_max[axis] += epsilon
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# for s in shape_groups:
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# if isinstance(s.fill_color, pydiffvg.LinearGradient):
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# s.fill_color.begin[axis] += epsilon
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# s.fill_color.end[axis] += epsilon
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perturb_scene(0, epsilon)
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scene_args = pydiffvg.RenderFunction.serialize_scene(\
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canvas_width, canvas_height, shapes, shape_groups,
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filter = pfilter,
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use_prefiltering = use_prefiltering)
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render = pydiffvg.RenderFunction.apply
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img0 = render(w, # width
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h, # height
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num_samples_x, # num_samples_x
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num_samples_y, # num_samples_y
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0, # seed
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None,
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*scene_args)
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forward_diff = (img0 - img) / (epsilon)
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forward_diff = forward_diff.sum(axis = 2)
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x_diff_max = 1.5
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x_diff_min = -1.5
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print(forward_diff.max())
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print(forward_diff.min())
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forward_diff = cm.viridis(normalize(forward_diff, x_diff_min, x_diff_max).cpu().numpy())
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pydiffvg.imwrite(forward_diff, 'results/finite_difference_comp/shared_edge_forward_diff.png', gamma=1.0)
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perturb_scene(0, -2 * epsilon)
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scene_args = pydiffvg.RenderFunction.serialize_scene(\
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canvas_width, canvas_height, shapes, shape_groups,
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filter = pfilter,
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use_prefiltering = use_prefiltering)
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img1 = render(w, # width
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h, # height
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num_samples_x, # num_samples_x
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num_samples_y, # num_samples_y
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0, # seed
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None,
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*scene_args)
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backward_diff = (img - img1) / (epsilon)
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backward_diff = backward_diff.sum(axis = 2)
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print(backward_diff.max())
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print(backward_diff.min())
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backward_diff = cm.viridis(normalize(backward_diff, x_diff_min, x_diff_max).cpu().numpy())
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pydiffvg.imwrite(backward_diff, 'results/finite_difference_comp/shared_edge_backward_diff.png', gamma=1.0)
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perturb_scene(0, epsilon)
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num_samples_x = 4
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num_samples_y = 4
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scene_args = pydiffvg.RenderFunction.serialize_scene(\
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canvas_width, canvas_height, shapes, shape_groups,
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filter = pfilter,
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use_prefiltering = use_prefiltering)
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render_grad = pydiffvg.RenderFunction.render_grad
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img_grad = render_grad(torch.ones(h, w, 4),
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w, # width
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h, # height
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num_samples_x, # num_samples_x
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num_samples_y, # num_samples_y
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0, # seed
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*scene_args)
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print(img_grad[:, :, 0].max())
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print(img_grad[:, :, 0].min())
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x_diff = cm.viridis(normalize(img_grad[:, :, 0], x_diff_min, x_diff_max).cpu().numpy())
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pydiffvg.imwrite(x_diff, 'results/finite_difference_comp/ours_x_diff.png', gamma=1.0)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("svg_file", help="source SVG path")
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parser.add_argument("--size_scale", type=float, default=1.0)
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args = parser.parse_args()
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main(args)
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