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@ -1,8 +1,8 @@ |
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# import matplotlib.patches as patches |
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import matplotlib.patches as patches |
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import matplotlib.pyplot as plt |
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import numpy as np |
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import torch |
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import matplotlib.patches as patches |
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from dataloader import extract_colors, preprocess_data |
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from model import ColorTransformerModel |
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@ -71,22 +71,35 @@ def plot_preds(preds, fname: str, roll: bool = False, dpi: int = 150, figsize=(3 |
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fig, ax = plt.subplots(figsize=figsize, subplot_kw=dict(polar=True)) |
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# Each wedge in the circle |
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theta = np.linspace(0, 2 * np.pi, N + 1) + np.pi / 2 |
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theta = np.linspace(0, 2 * np.pi, N, endpoint=False) + np.pi / 2 |
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width = 2 * np.pi / (N) # equal size for each wedge |
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for i in range(N): |
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ax.bar(theta[i], 1, width=width, color=colors[i], bottom=0.0) |
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ax.bar( |
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theta[i], |
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1, |
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width=width, |
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edgecolor="none", |
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facecolor=colors[i], |
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bottom=0.0, |
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zorder=1, |
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alpha=1, |
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) |
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ax.set_xticks([]) |
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ax.set_yticks([]) |
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ax.axis("off") |
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ax.set_aspect("equal") |
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# Overlay white circle |
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radius = 1 / 3 |
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circle = patches.Circle((0, 0), radius, transform=ax.transData._b, color="white", zorder=2) |
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circle = patches.Circle( |
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(0, 0), radius, transform=ax.transData._b, color="white", zorder=2 |
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) |
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ax.add_patch(circle) |
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fig.tight_layout(pad=0) |
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plt.savefig(f"{fname}.png", dpi=dpi) |
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plt.savefig(f"{fname}.png", dpi=dpi, transparent=False) |
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plt.close() |
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