import matplotlib.pyplot as plt
import numpy as np
x_v2_so = np.linspace(1, 25, 25)
x_v2 = np.linspace(1,28,28)
x_l_so = np.linspace(1,27,27)
x_l = np.linspace(1,28,28)
y_v2_so = [83.56, 87.83, 89.26, 90.27, 90.85, 89.98, 91.36, 92.73, 92.96, 93.78,
94.01, 94.47, 95.12, 94.98, 96.12, 95.89, 96.91, 96.86, 96.99, 96.88,
96.85, 97, 97, 97, 97]
y_v2 = [78.55,85.08,88.23,90.53,91.9,90.68,93.83,94.25,94.98,95.78,
95.58,96.33,96.32,95.75,97.00,97.05,96.9, 96.81,96.8,96.95,
96.9, 97.05, 97.1,97.1, 97.1, 97.1,97.11, 97.11]
y_l_so = [92.78,95.41,96.23,96.53,97, 97.2, 97.31,96.91,97.01,97.18,
97.43,97.48,97.61,97.75,97.4, 97.91,97.93,97.83,98.06,97.9,
98.1 ,98.00,98.03,98.08,98.08,97.95,98.03]
y_l = [92.21,95.38,96.38,97.38,97.53,97.8,97.78,97.65,97.85,97.96,
98.31,98.1 ,98.26,98.26,98.35,98.36,98.23,98.48,98.42,98.3,
98.43,98.42,98.3 ,98.4 ,98.5 ,98.56,98.48 ,98.48]
plt.plot(x_v2_so,y_v2_so, 'g', linewidth=1,marker='D',markersize=4,label='a: mobilenet v2(softmax + Triplet)')
plt.plot(x_v2,y_v2, 'b', linewidth=1,marker='o',markersize=4,label='b: mobilenet v2(AM-softmax + Triplet)')
plt.plot(x_l_so,y_l_so, 'k', linewidth=1,marker='^',markersize=5,label='c: L-mobilenet v2(softmax + Triplet)')
plt.plot(x_l,y_l, 'r', linewidth=1,marker='*',markersize=5,label='d: L-mobilenet v2(AM-softmax + Triplet)')
plt.xlim(0, 30)
plt.text(29, 98.5, 'd')
plt.text(29, 97.5, 'c')
plt.text(29, 96.5, 'b')
plt.text(25, 96, 'a')
# plt.scatter(x,y,"o")
# ax1 = plt.gca()
# # ax1.set_title("tutu")
# ax1.set_xlabel('epochs')
# ax1.set_ylabel('acc/%')
plt.xlabel('epochs')
plt.ylabel('acc/%')
plt.legend()
plt.show()
plot situ
最新推荐文章于 2024-06-06 13:56:51 发布
109

被折叠的 条评论
为什么被折叠?



