| import os |
| import random |
| import sys |
|
|
| import matplotlib.pyplot as plt |
| from PIL import Image |
| from pycocotools.coco import COCO |
|
|
| coco_folder = "instance_segmentation/multiannotator_15imgs_coco" |
| img_folder = "images" |
|
|
| if __name__ == "__main__": |
| |
| user_ids = sorted(f[:-len(".json")] for f in os.listdir(coco_folder) if f.endswith(".json")) |
| user_id = sys.argv[1] if len(sys.argv) > 1 else random.choice(user_ids) |
|
|
| coco = COCO(os.path.join(coco_folder, f"{user_id}.json")) |
| img_ids = sorted(coco.imgs) |
| print(f"User {user_id}: {len(img_ids)} images, {len(coco.anns)} annotations") |
|
|
| cols = min(3, len(img_ids)) |
| rows = -(-len(img_ids) // cols) |
| fig, axes = plt.subplots(rows, cols, figsize=(6 * cols, 3.6 * rows), squeeze=False) |
| for ax in axes.flat: |
| ax.axis("off") |
|
|
| for ax, img_id in zip(axes.flat, img_ids): |
| img_info = coco.imgs[img_id] |
| anns = coco.loadAnns(coco.getAnnIds(imgIds=img_id)) |
| ax.imshow(Image.open(os.path.join(img_folder, img_info["file_name"]))) |
| plt.sca(ax) |
| coco.showAnns(anns, draw_bbox=False) |
| ax.set_title(f"{img_info['file_name']} ({len(anns)} annotations)", fontsize=9) |
|
|
| fig.suptitle(f"Annotations of user {user_id}") |
| fig.tight_layout() |
| fig.savefig("example_user_annotations.png", dpi=100) |
| plt.show() |
|
|
