YOLO系列论文图表绘制代码

1.常见折线图

往往一篇好的代码包含很多比较漂亮的数据对比图，下面我将公开一系列图表代码：

代码：

import matplotlib.pyplot as plt

# 定义数据点 (TensorRT FP16 Latency, COCO mAP0.5-0.95)
data = {
    "YOLOv5": [(1.5, 38), (2.5, 41), (3.5, 43)],
    "YOLOX": [(1.7, 40), (2.8, 44), (4.0, 47)],
    "YOLOv6": [(1.2, 37), (2.1, 42), (3.2, 46)],
    "YOLOv8": [(1.8, 41), (2.6, 45), (3.8, 50)],
    "YOLO MS": [(2.0, 39), (3.0, 44), (4.2, 48)],
    "DAMO YOLO": [(1.6, 42), (2.7, 46), (3.9, 49)],
    "Gold YOLO": [(1.4, 39), (2.4, 44), (4.1, 51)],
    "PPYOLOE": [(1.9, 43), (3.1, 47), (4.5, 50)],
    "