utils.py

import sys
import time
import os
import torch
import shutil

import numpy as np

last_time = time.time()
begin_time = last_time
def progress_bar(current, total, msg=None):
    """Progress Bar for display
    """
    def _format_time(seconds):
        days = int(seconds / 3600/24)
        seconds = seconds - days*3600*24
        hours = int(seconds / 3600)
        seconds = seconds - hours*3600
        minutes = int(seconds / 60)
        seconds = seconds - minutes*60
        secondsf = int(seconds)
        seconds = seconds - secondsf
        millis = int(seconds*1000)

        f = ''
        i = 1
        if days > 0:
            f += str(days) + 'D'
            i += 1
        if hours > 0 and i <= 2:
            f += str(hours) + 'h'
            i += 1
        if minutes > 0 and i <= 2:
            f += str(minutes) + 'm'
            i += 1
        if secondsf > 0 and i <= 2:
            f += str(secondsf) + 's'
            i += 1
        if millis > 0 and i <= 2:
            f += str(millis) + 'ms'
            i += 1
        if f == '':
            f = '0ms'
        return f

    _, term_width = os.popen('stty size', 'r').read().split()
    term_width = int(term_width)
    TOTAL_BAR_LENGTH = 30.
    global last_time, begin_time
    if current == 0:
        begin_time = time.time()    # Reset for new bar.

    cur_len = int(TOTAL_BAR_LENGTH*current/total)
    rest_len = int(TOTAL_BAR_LENGTH - cur_len) - 1

    sys.stdout.write(' [')
    for i in range(cur_len):
        sys.stdout.write('=')
    sys.stdout.write('>')
    for i in range(rest_len):
        sys.stdout.write('.')
    sys.stdout.write(']')

    cur_time = time.time()
    step_time = cur_time - last_time
    last_time = cur_time
    tot_time = cur_time - begin_time

    L = []
    L.append('    Step: %s' % _format_time(step_time))
    L.append(' | Tot: %s' % _format_time(tot_time))
    if msg:
        L.append(' | ' + msg)

    msg = ''.join(L)
    sys.stdout.write(msg)
    for i in range(term_width-int(TOTAL_BAR_LENGTH)-len(msg)-3):
        sys.stdout.write(' ')

    # Go back to the center of the bar.
    for i in range(term_width-int(TOTAL_BAR_LENGTH/2)):
        sys.stdout.write('\b')
    sys.stdout.write(' %d/%d ' % (current+1, total))

    if current < total-1:
        sys.stdout.write('\r')
    else:
        sys.stdout.write('\n')
    sys.stdout.flush()


# refer to https://github.com/xternalz/WideResNet-pytorch
def save_checkpoint(state, args, is_best, filename='checkpoint.pth.tar'):
    """Saves checkpoint to disk"""
    directory = "runs/%s/%s/%s/"%(args.dataset, args.model, args.checkname)
    if not os.path.exists(directory):
        os.makedirs(directory)
    filename = directory + filename
    torch.save(state, filename)
    if is_best:
        shutil.copyfile(filename, directory + 'model_best.pth.tar')


# convert a tensor into a numpy array
def tensor2im(image_tensor, bytes=255.0, imtype=np.uint8):
    if image_tensor.dim() == 3:
        image_numpy = image_tensor.cpu().float().numpy()
    else:
        image_numpy = image_tensor[0].cpu().float().numpy()
    image_numpy = (np.transpose(image_numpy, (1, 2, 0)) + 1) / 2.0 * bytes

    return image_numpy.astype(imtype)