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hub / github.com/richzhang/PerceptualSimilarity / plot_current_errors_save

Method plot_current_errors_save

util/visualizer.py:94–123  ·  view source on GitHub ↗
(self, epoch, counter_ratio, opt, errors,keys='+ALL',name='loss', to_plot=False)

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92
93 # save errors into a directory
94 def plot_current_errors_save(self, epoch, counter_ratio, opt, errors,keys='+ALL',name='loss', to_plot=False):
95 if not hasattr(self, 'plot_data'):
96 self.plot_data = {'X':[],'Y':[], 'legend':list(errors.keys())}
97 self.plot_data['X'].append(epoch + counter_ratio)
98 self.plot_data['Y'].append([errors[k] for k in self.plot_data['legend']])
99
100 # embed()
101 if(keys=='+ALL'):
102 plot_keys = self.plot_data['legend']
103 else:
104 plot_keys = keys
105
106 if(to_plot):
107 (f,ax) = plt.subplots(1,1)
108 for (k,kname) in enumerate(plot_keys):
109 kk = np.where(np.array(self.plot_data['legend'])==kname)[0][0]
110 x = self.plot_data['X']
111 y = np.array(self.plot_data['Y'])[:,kk]
112 if(to_plot):
113 ax.plot(x, y, 'o-', label=kname)
114 np.save(os.path.join(self.web_dir,'%s_x')%kname,x)
115 np.save(os.path.join(self.web_dir,'%s_y')%kname,y)
116
117 if(to_plot):
118 plt.legend(loc=0,fontsize='small')
119 plt.xlabel('epoch')
120 plt.ylabel('Value')
121 f.savefig(os.path.join(self.web_dir,'%s.png'%name))
122 f.clf()
123 plt.close()
124
125 # errors: dictionary of error labels and values
126 def plot_current_errors(self, epoch, counter_ratio, opt, errors):

Callers 1

train.pyFile · 0.80

Calls 1

saveMethod · 0.45

Tested by

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