from matplotlib import pyplot as plt
from plotting_tools import plots_from_mat
if __name__ == "__main__":
root = "resnet18"
matfile = "{}_loss_and_acc_fc.mat".format(root)
plots_from_mat(matfile, "{}_fc".format(root))
matfile2 = "{}_loss_and_acc_tune.mat".format(root)
plots_from_mat(matfile2, "{}_tune".format(root))
plt.show()
from matplotlib import pyplot as plt
from plotting_tools import plots_from_mat
if __name__ == "__main__":
root = "resnet18_rgb"
matfile = "{}_training_data.mat".format(root)
plots_from_mat(matfile, root)
plt.show()
from matplotlib import pyplot as plt
from plotting_tools import plots_from_mat
if __name__ == "__main__":
matfile = "conv_6-layer_loss_and_acc.mat"
plots_from_mat(matfile, "conv_6-layer")
plt.show()
from matplotlib import pyplot as plt
from plotting_tools import plots_from_mat
if __name__ == "__main__":
matfile = "resnet52_pretrained_loss_and_acc_fc.mat"
plots_from_mat(matfile, "resnet52_pretrained_fc")
matfile2 = "resnet52_pretrained_loss_and_acc_tune.mat"
plots_from_mat(matfile2, "resnet52_pretrained_tune")
plt.show()