#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = '古溪' import numpy as np import random import matplotlib.pyplot as plt def heatmap(im_gray): cmap = plt.get_cmap('jet') rgba_img = cmap(255 - im_gray) Hmap = np.delete(rgba_img, 3, 2) # print(Hmap.shape, Hmap.max(), Hmap.min()) # cv2.imshow("heat_img", Hmap) # cv2.waitKey(0) return Hmap def loss_ploy(loss_list, steps, period, name=""): fig1, ax1 = plt.subplots(figsize=(16, 9)) ax1.plot(range(steps // period), loss_list) ax1.set_title("Average loss vs step*{}".format(period)) ax1.set_xlabel("step*{}".format(period)) ax1.set_ylabel("Current loss") plt.savefig('{}@loss_vs_step*{}.png'.format(name,period)) plt.clf() def plt_ploys(ploys, period, name=""): fig1, ax1 = plt.subplots(figsize=(16, 9)) cnames = ['aliceblue','antiquewhite','aqua','aquamarine','azure', 'blanchedalmond','blue','blueviolet','brown','burlywood', 'coral','cornflowerblue','cornsilk','crimson','cyan', 'darkblue','deeppink','deepskyblue','dodgerblue','forestgreen', 'gold','goldenrod','green','greenyellow','honeydew','hotpink', 'lawngreen','lightblue','lightgreen','lightpink','lightsalmon', 'lightseagreen','lightsteelblue','lightyellow','lime','limegreen', 'mediumseagreen','mediumspringgreen','midnightblue','orange','orangered', 'pink','red','royalblue','seagreen','skyblue','springgreen','steelblue', 'tan','teal','thistle','yellow','yellowgreen'] color = random.sample(cnames, len(ploys.keys())) for ii, key in enumerate(ploys.keys()): ax1.plot(range(1, len(ploys[key])+1), ploys[key],color=color[ii], label=key) ax1.set_title("Loss Carve line") ax1.set_xlabel("step*{}".format(period)) ax1.set_ylabel("Current loss") plt.legend(ploys.keys()) plt.savefig('{}@loss_vs_step*{}.png'.format(name, period)) plt.clf() if __name__ == '__main__': # TODO ADD CODE pass