File size: 2,044 Bytes
7e3773e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | import matplotlib.pyplot as plt
from PIL import Image
import matplotlib.patches as patches
# 加载图像
image_path = "demo_images/yidali2.jpg" # 替换为第二张图像的实际路径
output_path = "output_image_2.jpg" # 设置保存路径
image = Image.open(image_path)
# 第二张图像的边界框和类别数据
data = [
{"bbox_2d": [668, 240, 799, 538], "label": "Person"},
{"bbox_2d": [531, 319, 703, 580], "label": "Person"},
{"bbox_2d": [207, 235, 348, 569], "label": "Person"},
{"bbox_2d": [623, 344, 691, 389], "label": "Violin"},
{"bbox_2d": [281, 195, 425, 560], "label": "cello"},
{"bbox_2d": [0, 302, 208, 492], "label": "bicycle"},
{"bbox_2d": [338, 316, 432, 449], "label": "bicycle"},
{"bbox_2d": [679, 270, 840, 384], "label": "guitar"}
]
# 定义颜色（添加 guitar 的颜色）
color_map = {
"Person": "#ff5733", # 亮橙色
"Violin": "#33ff57", # 亮绿色
"cello": "#5733ff", # 亮蓝色
"bicycle": "#e3d820", # 黄色
"guitar": "#ff33a1" # 亮粉色（新增颜色）
}
# 创建绘图
fig, ax = plt.subplots(1, figsize=(12, 8))
ax.imshow(image)
# 绘制边界框
instance_count = {}
for item in data:
bbox = item["bbox_2d"]
label = item["label"]
# 计算颜色（暂未调整深度）
if label not in instance_count:
instance_count[label] = 0
color = color_map[label]
instance_count[label] += 1
# 绘制矩形
rect = patches.Rectangle(
(bbox[0], bbox[1]),
bbox[2] - bbox[0],
bbox[3] - bbox[1],
linewidth=4,
edgecolor=color,
facecolor="none"
)
ax.add_patch(rect)
# 添加标签
ax.text(
bbox[0],
bbox[1] - 10,
label,
color="white",
fontsize=13,
bbox=dict(facecolor=color, edgecolor="none", boxstyle="round,pad=0.2")
)
# 隐藏坐标轴
ax.axis("off")
# 保存结果
plt.savefig(output_path, bbox_inches="tight", pad_inches=0, dpi=300)
plt.close()
print(f"Image saved to {output_path}") |