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| # Modified from: | |
| # https://github.com/anibali/pytorch-stacked-hourglass | |
| # https://github.com/bearpaw/pytorch-pose | |
| import numpy as np | |
| __all__ = ['Logger'] | |
| class Logger: | |
| """Log training metrics to a file.""" | |
| def __init__(self, fpath, resume=False): | |
| if resume: ############################################################################ | |
| # Read header names and previously logged values. | |
| with open(fpath, 'r') as f: | |
| header_line = f.readline() | |
| self.names = header_line.rstrip().split('\t') | |
| self.numbers = {} | |
| for _, name in enumerate(self.names): | |
| self.numbers[name] = [] | |
| for numbers in f: | |
| numbers = numbers.rstrip().split('\t') | |
| for i in range(0, len(numbers)): | |
| self.numbers[self.names[i]].append(float(numbers[i])) | |
| self.file = open(fpath, 'a') | |
| self.header_written = True | |
| else: | |
| self.file = open(fpath, 'w') | |
| self.header_written = False | |
| def _write_line(self, field_values): | |
| self.file.write('\t'.join(field_values) + '\n') | |
| self.file.flush() | |
| def set_names(self, names): | |
| """Set field names and write log header line.""" | |
| assert not self.header_written, 'Log header has already been written' | |
| self.names = names | |
| self.numbers = {name: [] for name in self.names} | |
| self._write_line(self.names) | |
| self.header_written = True | |
| def append(self, numbers): | |
| """Append values to the log.""" | |
| assert self.header_written, 'Log header has not been written yet (use `set_names`)' | |
| assert len(self.names) == len(numbers), 'Numbers do not match names' | |
| for index, num in enumerate(numbers): | |
| self.numbers[self.names[index]].append(num) | |
| self._write_line(['{0:.6f}'.format(num) for num in numbers]) | |
| def plot(self, ax, names=None): | |
| """Plot logged metrics on a set of Matplotlib axes.""" | |
| names = self.names if names == None else names | |
| for name in names: | |
| values = self.numbers[name] | |
| ax.plot(np.arange(len(values)), np.asarray(values)) | |
| ax.grid(True) | |
| ax.legend(names, loc='best') | |
| def plot_to_file(self, fpath, names=None, dpi=150): | |
| """Plot logged metrics and save the resulting figure to a file.""" | |
| import matplotlib.pyplot as plt | |
| fig = plt.figure(dpi=dpi) | |
| ax = fig.subplots() | |
| self.plot(ax, names) | |
| fig.savefig(fpath) | |
| plt.close(fig) | |
| del ax, fig | |
| def close(self): | |
| self.file.close() | |