改YOLO模型自带实验结果F1、P以及R值图的字体大小_yolox的结果图如何改字体

def plot_mc_curve(px, py, save_dir='mc_curve.png', names=(), xlabel='Confidence', ylabel='Metric'):
    # Metric-confidence curve
    font = {'family': 'Times New Roman', 'weight': 'normal', 'size': 23}

    fig, ax = plt.subplots(1, 1, figsize=(9, 6), tight_layout=True)
    plt.tick_params(labelsize=20)#刻度字的大小
    
    if 0 < len(names) < 21:  # display per-class legend if < 21 classes
        for i, y in enumerate(py):
            ax.plot(px, y, linewidth=1, label=f'{names[i]}')  # plot(confidence, metric)
    else:
        ax.plot(px, py.T, linewidth=1, color='grey')  # plot(confidence, metric)

    y = py.mean(0)
    ax.plot(px, y, linewidth=3, color='blue', label=f'all classes {y.max():.2f} at {px[y.argmax()]:.3f}')
    ax.set_xlabel(xlabel,fontsize=30,family='Times New Roman')
    ax.set_ylabel(ylabel,fontsize=30,family='Times New Roman')
    #print()
    labels = ax.get_xticklabels() + ax.get_yticklabels()
    [label.set_fontname('Times New Roman') for label in labels]#刻度字的字体
    ax.set_xlim(0, 1)
    ax.set_ylim(0, 1)
    plt.legend( loc='best',prop=font)#小图的字体及大小
    fig.savefig(Path(save_dir), dpi=200)