606 lines
25 KiB
Python
606 lines
25 KiB
Python
import matplotlib
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import numpy as np
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from matplotlib import pyplot as plt
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# matplotlib画图中中文显示会有问题，需要这两行设置默认字体.没中文可以去掉
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plt.rcParams['font.sans-serif']=['SimHei']
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plt.rcParams['axes.unicode_minus'] = False
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# 设置figure_size尺寸
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# plt.rcParams['figure.figsize'] = (22.0, 22.0)
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plt.rcParams['figure.figsize'] = (5.0,5.0)
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fig = plt.figure()
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# 设定图表颜色
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fig.set(alpha=0.2)
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#fig.suptitle('suptitle', fontsize=24, x=0.6,y=0.9, horizontalalignment='left', va='bottom')
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# 输入数据
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# plt.subplot2grid((4,3),(0,0))
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#Average over 11 datasets
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#
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#
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# CR_CLIP=[65.67090909,68.98363636,72.51636364,75.58,78.20090909]
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#
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# GPT_CLIP=[65.54,68.59,72.23,75.31,77.94]
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#
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# DA_CLIP=[65.27,68.20,72.01,75.21,77.70]
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#
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#
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# y_tip_adapter=[62.3282,64.6182,66.5327,68.4955,70.3182]
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#
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# y_tip_adapter_f=[63.2982,65.93913,68.9836,72.1573,75.1346]
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#
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# y_clip_adapter=[62.6745,65.5527,68.6055,71.3964,74.4436]
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#
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# y_imagenet_CoOp=[59.5882,62.3236,66.7664,69.8918,73.4251]
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# y_clip=[58.9627]
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# x=[1,2,4,8,16]
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# x_zero=[0]
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# #
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# # #数据及线属性
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# # #cacfc
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# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
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# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
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# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
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# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
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# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
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# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
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# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
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# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
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# #
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# #
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# #
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# #
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# plt.grid(linestyle="--")
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# # 修改坐标轴字体及大小
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# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
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# plt.xticks(fontproperties='Times New Roman', size=14)
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# #标题设置
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# plt.title('Average over 11 datasets',fontproperties='Times New Roman', fontsize=15,fontweight='bold')
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# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
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# plt.ylabel('Score(%)',fontproperties='Times New Roman')
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# plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
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# # 添加标签
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# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
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# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
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# plt.savefig("Average.png", dpi=600)
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# #
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# #
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# #
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#
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#
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# # 输入数据
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# plt.subplot2grid((4,3),(0,1))
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# CR_CLIP=[90.3,90.82,92.45,92.77,94.22]
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# GPT_CLIP=[89.73,90.54,92.26,92.57,93.96]
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# DA_CLIP=[89.45,90.34,91.89,92.09,93.79]
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#
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# y_tip_adapter=[87.18,88.44,89.39,89.83,90.18]
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# y_tip_adapter_f=[87.9,89.4,90.78,91.1,92.28]
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# y_imagenet_CoOp=[87.53,87.93,89.55,90.21,91.83]
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# y_clip_adapter=[88.6,89.37,89.98,91.4,92.49]
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#
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# y_clip=[86.29]
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# x=[1,2,4,8,16]
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# x_zero=[0]
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#
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# #数据及线属性
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# #cacfc
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# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
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# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
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# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
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# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
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# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
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# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
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# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
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# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
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# #clip_adapter
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#
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# plt.grid(linestyle="--")
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# # 修改坐标轴字体及大小
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# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
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# plt.xticks(fontproperties='Times New Roman', size=14)
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# #标题设置
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# plt.title('Caltech101',fontproperties='Times New Roman', fontsize=15)
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# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
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# plt.ylabel('Score(%)',fontproperties='Times New Roman')
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# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
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# # 添加标签
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# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
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# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
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# plt.savefig("Caltech101.png", dpi=600)
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#
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#
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# #
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#
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# # 输入数据
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# plt.subplot2grid((4,3),(0,2))
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# #
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# CR_CLIP=[50.73,56.51,62.2,66.76,69.71]
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#
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# GPT_CLIP=[50.52,56.21,61.92,66.58,69.31]
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#
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# DA_CLIP=[46.28,52.19,61.76,66.19,68.79]
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#
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# y_tip_adapter=[46.22,49.47,53.96,58.63,60.93]
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#
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# y_tip_adapter_f=[48.58,51.64,57.21,61.92,66.23]
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#
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# y_imagenet_CoOp=[44.39,45.15,53.49,59.97,63.58]
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#
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# y_clip_adapter=[45.8,51.48,56.86,61,65.96]
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#
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# y_clip=[42.32]
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# x=[1,2,4,8,16]
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# x_zero=[0]
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#
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# #数据及线属性
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# #cacfc
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# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
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# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
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# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
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# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
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# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
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# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
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# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
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# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
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# #clip_adapter
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#
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# plt.grid(linestyle="--")
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# # 修改坐标轴字体及大小
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# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
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# plt.xticks(fontproperties='Times New Roman', size=14)
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# #标题设置
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# plt.title('DTD',fontproperties='Times New Roman', fontsize=15)
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# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
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# plt.ylabel('Score(%)',fontproperties='Times New Roman')
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# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
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# # 添加标签
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# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
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# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
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# plt.savefig("DTD.png", dpi=600)
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#
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#
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#
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#
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#
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#
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# # 输入数据
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# # plt.subplot2grid((4,3),(1,0))
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# # #EuroSAT
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# CR_CLIP=[58.85,67.38,78.54,84.84,84.90]
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#
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# GPT_CLIP=[58.46,66.96,78.34,84.24,84.44]
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#
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# DA_CLIP=[57.41,66.41,77.95,83.90,84.17]
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#
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# y_tip_adapter=[54.38,61.68,65.32,67.95,70.54]
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#
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# y_tip_adapter_f=[51.81,66.32,69.23,77.69,81.96]
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#
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# y_clip_adapter=[61.4,63.9,73.38,77.93,84.43]
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#
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# y_imagenet_CoOp=[50.63,61.5,70.18,76.73,83.53]
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#
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# y_clip=[37.56]
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# x=[1,2,4,8,16]
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# x_zero=[0]
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#
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# #数据及线属性
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# #cacfc
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# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
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# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
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# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
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# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
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# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
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# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
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# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
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# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
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#
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# plt.grid(linestyle="--")
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# # 修改坐标轴字体及大小
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# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
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# plt.xticks(fontproperties='Times New Roman', size=14)
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# #标题设置
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# plt.title('EuroSAT',fontproperties='Times New Roman', fontsize=15)
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# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
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# plt.ylabel('Score(%)',fontproperties='Times New Roman')
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# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
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# # 添加标签
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# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
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# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
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# plt.savefig("EuroSAT.png", dpi=600)
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#
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#
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# # 输入数据
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# plt.subplot2grid((4,3),(1,1))
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# #FGVCAircraft
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# CR_CLIP=[22.92,24.82,28.68,34.88,42.66]
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#
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# GPT_CLIP=[22.70,24.62,28.18,34.59,42.30]
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#
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# DA_CLIP=[22.53,24.48,28.08,34.26,41.34]
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#
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# y_tip_adapter=[19.05,21.2,22.41,25.59,29.76]
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#
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# y_tip_adapter_f=[20.06,21.17,24.97,28.13,34.83]
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#
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# y_imagenet_CoOp=[9.64,18.68,21.87,26.13,31.26]
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#
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# y_clip_adapter=[17.49,20.1,22.59,26.25,32.1]
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#
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# y_clip=[17.28]
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# x=[1,2,4,8,16]
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# x_zero=[0]
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#
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# #数据及线属性
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# #cacfc
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# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
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# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
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# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
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# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
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# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
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# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
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# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
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# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
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# #clip_adapter
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#
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# plt.grid(linestyle="--")
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# # 修改坐标轴字体及大小
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# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
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# plt.xticks(fontproperties='Times New Roman', size=14)
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# #标题设置
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# plt.title('FGVCAircraft',fontproperties='Times New Roman', fontsize=15)
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# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
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# plt.ylabel('Score(%)',fontproperties='Times New Roman')
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# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
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# # 添加标签
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# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
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# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
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# plt.savefig("FGVCAircraft.png", dpi=600)
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# #
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# #
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# # 输入数据
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# plt.subplot2grid((4,3),(1,2))
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# #Flowers102
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# CR_CLIP=[80.88,88.8,93.68,96.20,96.7]
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#
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# GPT_CLIP=[80.76,87.80,93.32,95.67,96.66]
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#
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# DA_CLIP=[80.88,87.78,93.26,95.82,96.80]
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#
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# y_tip_adapter=[73.12,79.13,83.8,87.98,89.89]
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#
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# y_tip_adapter_f=[76.7,79.5,89,92.4,93.9]
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#
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# y_imagenet_CoOp=[68.12,77.51,86.2,91.18,94.51]
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#
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# y_clip_adapter=[73.49,81.61,87.17,91.72,93.9]
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#
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# y_clip=[66.14]
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# x=[1,2,4,8,16]
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# x_zero=[0]
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#
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#
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# #数据及线属性
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# #cacfc
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# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
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# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
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# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
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# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
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# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
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# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
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# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
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# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
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# #clip_adapter
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#
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# plt.grid(linestyle="--")
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# # 修改坐标轴字体及大小
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# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
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# plt.xticks(fontproperties='Times New Roman', size=14)
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# #标题设置
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# plt.title('Flowers102',fontproperties='Times New Roman', fontsize=15)
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# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
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# plt.ylabel('Score(%)',fontproperties='Times New Roman')
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# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
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# # 添加标签
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# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
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# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
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# plt.savefig("Flowers102.png", dpi=600)
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#
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# # 输入数据
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# plt.subplot2grid((4,3),(2,0))
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#Food101
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# CR_CLIP=[78.44,78.67,78.81,78.96,79.72]
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#
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# GPT_CLIP=[78.24,78.56,78.67,78.82,79.59]
|
||
#
|
||
# DA_CLIP=[78.17,78.34,78.50,78.55,79.40]
|
||
#
|
||
# y_tip_adapter=[77.42,77.52,77.54,77.76,77.83]
|
||
#
|
||
# y_tip_adapter_f=[77.27,77.44,77.2,78.36,79.05]
|
||
#
|
||
# y_imagenet_CoOp=[74.32,72.49,73.33,71.82,74.67]
|
||
#
|
||
# y_clip_adapter=[76.82,77.22,77.92,78.04,78.25]
|
||
#
|
||
# y_clip=[77.31]
|
||
# x=[1,2,4,8,16]
|
||
# x_zero=[0]
|
||
#
|
||
# #数据及线属性
|
||
# #cacfc
|
||
# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
|
||
# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
|
||
# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
|
||
# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
|
||
# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
|
||
# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
|
||
# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
|
||
# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
|
||
#
|
||
# plt.grid(linestyle="--")
|
||
# # 修改坐标轴字体及大小
|
||
# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
|
||
# plt.xticks(fontproperties='Times New Roman', size=14)
|
||
# #标题设置
|
||
# plt.title('Food101',fontproperties='Times New Roman', fontsize=15)
|
||
# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
|
||
# plt.ylabel('Score(%)',fontproperties='Times New Roman')
|
||
# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
|
||
# # 添加标签
|
||
# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
|
||
# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
|
||
# plt.savefig("Food101.png", dpi=600)
|
||
# #
|
||
#
|
||
# # 输入数据
|
||
# plt.subplot2grid((4,3),(2,1))
|
||
# #imagenet
|
||
# CR_CLIP=[62,63.14,63.52,65.02,66.46]
|
||
# GPT_CLIP=[61.82,62.83,63.27,64.72,66.25]
|
||
# DA_CLIP=[61.41,61.83,62.91,64.54,66.09]
|
||
#
|
||
# y_tip_adapter=[60.7,60.96,60.98,61.45,62.03]
|
||
# y_tip_adapter_f=[61.32,61.69,62.52,64,65.51]
|
||
# y_clip_adapter=[61.2,61.52,61.84,62.68,63.59]
|
||
# y_imagenet_CoOp=[57.15,57.81,59.99,61.56,62.95]
|
||
# y_clip=[60.33]
|
||
# x=[1,2,4,8,16]
|
||
# x_zero=[0]
|
||
#
|
||
# #数据及线属性
|
||
# #cacfc
|
||
# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
|
||
# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
|
||
# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
|
||
# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
|
||
# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
|
||
# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
|
||
# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
|
||
# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
|
||
# #clip_adapter
|
||
#
|
||
# plt.grid(linestyle="--")
|
||
# # 修改坐标轴字体及大小
|
||
# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
|
||
# plt.xticks(fontproperties='Times New Roman', size=14)
|
||
# #标题设置
|
||
# plt.title('ImageNet',fontproperties='Times New Roman', fontsize=15)
|
||
# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
|
||
# plt.ylabel('Score(%)',fontproperties='Times New Roman')
|
||
# #plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
|
||
# # 添加标签
|
||
# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
|
||
# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
|
||
#
|
||
# plt.savefig("ImageNet.png", dpi=600)
|
||
#
|
||
#
|
||
#
|
||
# # 输入数据
|
||
# plt.subplot2grid((4,3),(2,2))
|
||
# #OxfordPets
|
||
# CR_CLIP=[86.1,87.94,88.74,89.25,90.13]
|
||
#
|
||
# GPT_CLIP=[85.94,86.79,88.63,89.01,89.92]
|
||
#
|
||
# DA_CLIP=[85.91,86.75,88.50,88.96,89.86]
|
||
#
|
||
# y_tip_adapter=[86.1,87.03,86.45,87.03,88.14]
|
||
#
|
||
# y_tip_adapter_f=[86.44,86.44,87,88.11,89.13]
|
||
# y_imagenet_CoOp=[85.89,82.64,86.7,85.32,87.01]
|
||
# y_clip_adapter=[85.99,86.73,87.46,87.65,87.84]
|
||
# y_clip=[85.77]
|
||
# x=[1,2,4,8,16]
|
||
# x_zero=[0]
|
||
#
|
||
#
|
||
# #数据及线属性
|
||
# #cacfc
|
||
# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
|
||
# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
|
||
# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
|
||
# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
|
||
# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
|
||
# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
|
||
# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
|
||
# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
|
||
# #clip_adapter
|
||
#
|
||
# plt.grid(linestyle="--")
|
||
# # 修改坐标轴字体及大小
|
||
# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
|
||
# plt.xticks(fontproperties='Times New Roman', size=14)
|
||
# #标题设置
|
||
# plt.title('OxfordPets',fontproperties='Times New Roman', fontsize=15)
|
||
# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
|
||
# plt.ylabel('Score(%)',fontproperties='Times New Roman')
|
||
# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
|
||
# # 添加标签
|
||
# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
|
||
# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
|
||
#
|
||
# plt.savefig("OxfordPets.png", dpi=600)
|
||
|
||
|
||
|
||
|
||
# # 输入数据
|
||
# plt.subplot2grid((4,3),(3,0))
|
||
# #StanfordCars
|
||
# CR_CLIP=[60.17,62.57,66.92,73.92,78]
|
||
#
|
||
# GPT_CLIP=[60.13,62.46,66.73,73.81,79.72]
|
||
#
|
||
# DA_CLIP=[59.77,62.12,66.30,73.35,79.54]
|
||
#
|
||
# y_tip_adapter=[57.54,57.93,61.45,62.93,66.77]
|
||
#
|
||
# y_tip_adapter_f=[58.42,61.06,64.54,69.32,75.08]
|
||
#
|
||
# y_imagenet_CoOp=[55.59,58.28,62.62,68.43,73.3659]
|
||
#
|
||
# y_clip_adapter=[55.13,58.74,62.45,67.89,74.01]
|
||
#
|
||
# y_clip=[55.61]
|
||
# x=[1,2,4,8,16]
|
||
# x_zero=[0]
|
||
#
|
||
#
|
||
# #数据及线属性
|
||
# #cacfc
|
||
# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
|
||
# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
|
||
# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
|
||
# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
|
||
# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
|
||
# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
|
||
# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
|
||
# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
|
||
# #clip_adapter
|
||
#
|
||
# plt.grid(linestyle="--")
|
||
# # 修改坐标轴字体及大小
|
||
# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
|
||
# plt.xticks(fontproperties='Times New Roman', size=14)
|
||
# #标题设置
|
||
# plt.title('StanfordCars',fontproperties='Times New Roman', fontsize=15)
|
||
# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
|
||
# plt.ylabel('Score(%)',fontproperties='Times New Roman')
|
||
# #plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
|
||
# # 添加标签
|
||
# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
|
||
# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
|
||
# plt.savefig("StanfordCars.png", dpi=600)
|
||
|
||
|
||
|
||
|
||
# # 输入数据
|
||
# plt.subplot2grid((4,3),(3,1))
|
||
# #SUN397
|
||
# CR_CLIP=[64.1,66.34,69.24,70.78,73.21]
|
||
#
|
||
# GPT_CLIP=[63.91,66.23,68.52,70.59,72.98]
|
||
#
|
||
# DA_CLIP=[63.42,65.24,68.13,70.10,72.69]
|
||
#
|
||
# y_tip_adapter=[61.3,62.7,64.1,65.62,66.85]
|
||
#
|
||
# y_tip_adapter_f=[62.4,63.22,65.75,68.28,71.27]
|
||
# y_imagenet_CoOp=[60.29,59.48,63.47,65.52,69.26]
|
||
#
|
||
# y_clip_adapter=[61.3,63.29,65.96,67.5,69.55]
|
||
#
|
||
# y_clip=[58.52]
|
||
# x=[1,2,4,8,16]
|
||
# x_zero=[0]
|
||
#
|
||
# #数据及线属性
|
||
# #cacfc
|
||
# plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
|
||
# plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
|
||
# plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
|
||
# plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
|
||
# plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
|
||
# plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
|
||
# plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
|
||
# plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
|
||
# #clip_adapter
|
||
#
|
||
# plt.grid(linestyle="--")
|
||
# # 修改坐标轴字体及大小
|
||
# plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
|
||
# plt.xticks(fontproperties='Times New Roman', size=14)
|
||
# #标题设置
|
||
# plt.title('SUN397',fontproperties='Times New Roman', fontsize=15)
|
||
# plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
|
||
# plt.ylabel('Score(%)',fontproperties='Times New Roman')
|
||
# # plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
|
||
# # 添加标签
|
||
# plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
|
||
# ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
|
||
# plt.savefig("SUN397.png", dpi=600)
|
||
#
|
||
#
|
||
#
|
||
#
|
||
# # 输入数据
|
||
# plt.subplot2grid((4,3),(3,2))
|
||
# #UCF101
|
||
CR_CLIP=[67.86,71.73,75,78.2,82.5]
|
||
|
||
GPT_CLIP=[67.60,71.46,74.72,77.86,82.26]
|
||
|
||
DA_CLIP=[67.46,71.27,74.49,77.77,82.08]
|
||
|
||
y_tip_adapter=[62.6,64.74,66.46,68.68,70.58]
|
||
|
||
y_tip_adapter_f=[65.38,67.45,71.17,74.42,77.24]
|
||
|
||
y_imagenet_CoOp=[61.92,64.09,67.03,71.94,75.71]
|
||
|
||
y_clip_adapter=[62.2,67.12,69.05,73.3,76.76]
|
||
|
||
y_clip=[61.46]
|
||
x=[1,2,4,8,16]
|
||
x_zero=[0]
|
||
|
||
# 数据及线属性
|
||
# cacfc
|
||
plt.plot(x, CR_CLIP, color='r', linestyle='-', marker='*', linewidth=1, label='CR-CLIP')
|
||
plt.plot(x, GPT_CLIP, color='#4169E1', linestyle='-', marker='*', linewidth=1, label='GPT-CLIP')
|
||
plt.plot(x, DA_CLIP, color='g', linestyle='-', marker='*', linewidth=1, label='DA-CLIP')
|
||
plt.plot(x, y_tip_adapter, color='cyan', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter')
|
||
plt.plot(x, y_tip_adapter_f, color='orange', linestyle='-', marker='*', linewidth=1, label='Tip-Adapter-F')
|
||
plt.plot(x, y_clip_adapter, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='CLIP-Adapter')
|
||
plt.plot(x, y_imagenet_CoOp, color='hotpink', linestyle='-', marker='*', linewidth=1, label='CoOp')
|
||
plt.plot(x_zero, y_clip, color='mediumpurple', linestyle='-', marker='*', linewidth=1, label='Zero-shot CLIP')
|
||
#clip_adapter
|
||
|
||
plt.grid(linestyle="--")
|
||
# 修改坐标轴字体及大小
|
||
plt.yticks(fontproperties='Times New Roman', size=14)#设置大小及加粗
|
||
plt.xticks(fontproperties='Times New Roman', size=14)
|
||
#标题设置
|
||
plt.title('UCF101',fontproperties='Times New Roman', fontsize=15)
|
||
plt.xlabel('Number of labeled training examples per class',fontproperties='Times New Roman', fontsize=12)
|
||
plt.ylabel('Score(%)',fontproperties='Times New Roman')
|
||
# plt.legend(loc='lower right',prop={'family' : 'Times New Roman', 'size': 13})
|
||
# 添加标签
|
||
plt.annotate('Zero-shot\n CLIP', xy=(x_zero[0], y_clip[0]), xytext=(x_zero[0]+0.3, y_clip[0]-0.9),
|
||
ha='center', fontproperties='Times New Roman', fontsize=10, color='mediumpurple')
|
||
|
||
plt.savefig("UCF101.png", dpi=600)
|
||
# plt.show()
|