COCO数据集可视化

最新推荐文章于 2025-03-05 17:18:00 发布

原创最新推荐文章于 2025-03-05 17:18:00 发布 · 248 阅读

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#python #numpy #开发语言

COCO数据集可视化

import json
import os.path

import matplotlib.pyplot as plt
import cv2
with open(r'annotations/instances_val.json') as f:
    coco_data = json.load(f)

for i in coco_data["images"]:
    image_path = i["file_name"]
    image = cv2.imread(image_path)
    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    image_id = i["id"]
    annotations = [ann for ann in coco_data['annotations'] if ann['image_id'] == image_id]
    plt.figure(figsize=(12, 8))
    plt.imshow(image)
    ax = plt.gca()
    for ann in annotations:
        bbox = ann['bbox']
        rect = plt.Rectangle((bbox[0], bbox[1]), bbox[2], bbox[3], fill=False, edgecolor='red', linewidth=2)
        ax.add_patch(rect)
    # plt.show()
    plt.savefig(f"result/{image_path.split("\\")[-3] + '_' + os.path.basename(image_path)}")