python神经网络绘loss高级曲线图代码

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def draw_loss(X,Y,Z):
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# X, Y, Z = axes3d.get_test_data(0.05)####
# Grab some test data.
surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
linewidth=0, antialiased=False)
# Customize the z axis.
#ax.set_zlim(-1.01, 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))
# Add a color bar which maps values to colors.
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()

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def cal_Z(C, L):
# C,L 转为 S，E
# SE计算对应的iou
S,E = CL2XY(C,L)
DIoU = cal_diou(S,E)
return 1-DIoU

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c = np.arange(0.0, 1.0, 0.02)
l = np.arange(0.0, 1.0, 0.02)
C,L = np.meshgrid(c,l)
Z = cal_Z(C,L)
draw_loss(C,L,Z)