import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

# --------------------------------------------------------------
# 1. 数据
# --------------------------------------------------------------
resolution = [336.00, 448.00, 560.00, 672.00, 784.00, 896.00, 1024.00]

roi_thing = {
    "Resolution": resolution,
    "CLIPself":   [65.90, 69.50, 70.90, 71.70, 72.00, 72.60, 72.30],
    "RegionCLIP": [66.40, 70.00, 71.20, 72.10, 72.10, 72.00, 71.90],
    "DeCLIP":     [68.90, 72.10, 74.30, 75.20, 75.50, 75.70, 75.40]
}

mask_thing = {
    "Resolution": resolution,
    "CLIPself":   [60.10, 66.00, 69.50, 71.40, 72.70, 74.00, 74.60],
    "RegionCLIP": [60.60, 66.90, 69.70, 72.50, 73.50, 73.90, 74.70],
    "DeCLIP":     [62.00, 68.40, 72.20, 74.50, 75.80, 76.80, 77.20]
}

mask_stuff = {
    "Resolution": resolution,
    "CLIPself":   [40.80, 43.10, 44.60, 45.40, 45.90, 46.50, 46.90],
    "RegionCLIP": [28.20, 30.10, 30.30, 31.10, 32.50, 35.00, 34.80],
    "DeCLIP":     [45.50, 49.10, 50.40, 51.20, 51.30, 52.70, 52.50]
}

df_roi_thing  = pd.DataFrame(roi_thing)
df_mask_thing = pd.DataFrame(mask_thing)
df_mask_stuff = pd.DataFrame(mask_stuff)

# --------------------------------------------------------------
# 2. 全局风格
# --------------------------------------------------------------
sns.set_style('white')
plt.rcParams.update({
    'font.size'        : 10,
    'axes.labelsize'   : 10,
    'xtick.labelsize'  : 8,
    'ytick.labelsize'  : 8,

    # 折线 & 标记
    'lines.linewidth'      : 1.5,   # 更细的折线
    'lines.markersize'     : 8,     # 更大的数据点
    'lines.markeredgewidth': 0.8,   # 更细描边

    # 图例
    'legend.fontsize'  : 9,

    # 网格
    'axes.grid'        : True,
    'grid.linestyle'   : '--',
    'grid.alpha'       : 0.3,       # 更淡
    'grid.color'       : 'gray',
    'grid.linewidth'   : 0.5,       # 更细

    # 坐标轴外框
    'axes.spines.right': False,
    'axes.spines.top'  : False,
    'axes.linewidth'   : 1.2
})

# 调色盘与标记
palette = {
    'CLIPself'  : '#80b1d3',  # 浅蓝
    'RegionCLIP': '#fb8072',  # 珊瑚红
    'DeCLIP'    : '#8dd3c7'   # 青绿
}
markers = {
    'CLIPself'  : 'o',
    'RegionCLIP': '^',
    'DeCLIP'    : 'D'
}

# --------------------------------------------------------------
# 3. 画图函数
# --------------------------------------------------------------
def plot_and_save(df, y_label, filename):
    fig, ax = plt.subplots(figsize=(4, 3))

    for key in ['CLIPself', 'RegionCLIP', 'DeCLIP']:
        ax.plot(
            df['Resolution'], df[key],
            linestyle='-',                 # 实线
            marker=markers[key],
            color=palette[key],
            markeredgecolor='black',
            label=key
        )

    ax.set_xlabel('Resolution')
    ax.set_ylabel(y_label)
    ax.set_xticks(resolution)

    ax.legend(frameon=False, loc='best')
    fig.tight_layout()
    fig.savefig(filename, dpi=300)
    plt.close(fig)

# --------------------------------------------------------------
# 4. 生成三张图
# --------------------------------------------------------------
plot_and_save(df_roi_thing,  'RoI Align (Thing) mAcc',    'roi_thing.png')
plot_and_save(df_mask_thing, 'Mask Pooling (Thing) mAcc', 'mask_thing.png')
plot_and_save(df_mask_stuff, 'Mask Pooling (Stuff) mAcc', 'mask_stuff.png')