Datasets:
Download visualize_per_image.py from vapaau/TUBcertainty: direct link, hf CLI and curl.
- Browser
- Download file 1.58 kB
-
https://huggingface.co/datasets/vapaau/TUBcertainty/resolve/main/visualize_per_image.py
- Command line
-
hf download hf://datasets/vapaau/TUBcertainty/visualize_per_image.py
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curl -L -o visualize_per_image.py https://huggingface.co/datasets/vapaau/TUBcertainty/resolve/main/visualize_per_image.py
1.58 kB
| import json | |
| import math | |
| import os | |
| import random | |
| import sys | |
| import matplotlib.pyplot as plt | |
| from matplotlib.patches import Polygon | |
| from PIL import Image | |
| multiannotation_path = "instance_segmentation/multiannotator_15imgs.json" | |
| img_folder = "images" | |
| if __name__ == "__main__": | |
| with open(multiannotation_path) as f: | |
| multiannotations = json.load(f) | |
| # Optional image name as argument, otherwise pick a random image | |
| name = sys.argv[1] if len(sys.argv) > 1 else random.choice(sorted(multiannotations)) | |
| annotators = multiannotations[name] | |
| print(f"{name}: {len(annotators)} annotators, " | |
| f"{sum(len(a['polygons']) for a in annotators)} polygons") | |
| img = Image.open(os.path.join(img_folder, name)) | |
| cols = min(4, len(annotators)) | |
| rows = math.ceil(len(annotators) / cols) | |
| fig, axes = plt.subplots(rows, cols, figsize=(5 * cols, 3 * rows), squeeze=False) | |
| for ax in axes.flat: | |
| ax.axis("off") | |
| cmap = plt.get_cmap("tab20") | |
| for ax, annotator in zip(axes.flat, annotators): | |
| ax.imshow(img) | |
| for i, poly in enumerate(annotator["polygons"]): | |
| pts = [(p["x"], p["y"]) for p in poly["polygon_pts"]] | |
| color = cmap(i % cmap.N) | |
| ax.add_patch(Polygon(pts, closed=True, alpha=0.4, facecolor=color, | |
| edgecolor=color, linewidth=1.5)) | |
| ax.set_title(f"{annotator['user_id']} ({len(annotator['polygons'])} polygons)", fontsize=9) | |
| fig.suptitle(name) | |
| fig.tight_layout() | |
| fig.savefig("example_image_annotations.png", dpi=100) | |
| plt.show() | |