File size: 5,601 Bytes
8ec10cf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 |
import readline
import rlcompleter
readline.parse_and_bind("tab: complete")
import code
import pdb
import time
import argparse
import os
import imageio
import torch
import torch.multiprocessing as mp
# debugging tools
def interact(local=None):
"""interactive console with autocomplete function. Useful for debugging.
interact(locals())
"""
if local is None:
local=dict(globals(), **locals())
readline.set_completer(rlcompleter.Completer(local).complete)
code.interact(local=local)
def set_trace(local=None):
"""debugging with pdb
"""
if local is None:
local=dict(globals(), **locals())
pdb.Pdb.complete = rlcompleter.Completer(local).complete
pdb.set_trace()
# timer
class Timer():
"""Brought from https://github.com/thstkdgus35/EDSR-PyTorch
"""
def __init__(self):
self.acc = 0
self.tic()
def tic(self):
self.t0 = time.time()
def toc(self):
return time.time() - self.t0
def hold(self):
self.acc += self.toc()
def release(self):
ret = self.acc
self.acc = 0
return ret
def reset(self):
self.acc = 0
# argument parser type casting functions
def str2bool(val):
"""enable default constant true arguments"""
# https://stackoverflow.com/questions/15008758/parsing-boolean-values-with-argparse
if isinstance(val, bool):
return val
elif val.lower() == 'true':
return True
elif val.lower() == 'false':
return False
else:
raise argparse.ArgumentTypeError('Boolean value expected')
def int2str(val):
"""convert int to str for environment variable related arguments"""
if isinstance(val, int):
return str(val)
elif isinstance(val, str):
return val
else:
raise argparse.ArgumentTypeError('number value expected')
# image saver using multiprocessing queue
class MultiSaver():
def __init__(self, result_dir=None):
self.queue = None
self.process = None
self.result_dir = result_dir
def begin_background(self):
self.queue = mp.Queue()
def t(queue):
while True:
if queue.empty():
continue
img, name = queue.get()
if name:
try:
basename, ext = os.path.splitext(name)
if ext != '.png':
name = '{}.png'.format(basename)
imageio.imwrite(name, img)
except Exception as e:
print(e)
else:
return
worker = lambda: mp.Process(target=t, args=(self.queue,), daemon=False)
cpu_count = min(8, mp.cpu_count() - 1)
self.process = [worker() for _ in range(cpu_count)]
for p in self.process:
p.start()
def end_background(self):
if self.queue is None:
return
for _ in self.process:
self.queue.put((None, None))
def join_background(self):
if self.queue is None:
return
while not self.queue.empty():
time.sleep(0.5)
for p in self.process:
p.join()
self.queue = None
def save_image(self, output, save_names, result_dir=None):
result_dir = result_dir if self.result_dir is None else self.result_dir
if result_dir is None:
raise Exception('no result dir specified!')
if self.queue is None:
try:
self.begin_background()
except Exception as e:
print(e)
return
# assume NCHW format
if output.ndim == 2:
output = output.expand([1, 1] + list(output.shape))
elif output.ndim == 3:
output = output.expand([1] + list(output.shape))
for output_img, save_name in zip(output, save_names):
# assume image range [0, 255]
output_img = output_img.add_(0.5).clamp_(0, 255).permute(1, 2, 0).to('cpu', torch.uint8).numpy()
save_name = os.path.join(result_dir, save_name)
save_dir = os.path.dirname(save_name)
os.makedirs(save_dir, exist_ok=True)
self.queue.put((output_img, save_name))
return
class Map(dict):
"""
https://stackoverflow.com/questions/2352181/how-to-use-a-dot-to-access-members-of-dictionary
Example:
m = Map({'first_name': 'Eduardo'}, last_name='Pool', age=24, sports=['Soccer'])
"""
def __init__(self, *args, **kwargs):
super(Map, self).__init__(*args, **kwargs)
for arg in args:
if isinstance(arg, dict):
for k, v in arg.items():
self[k] = v
if kwargs:
for k, v in kwargs.items():
self[k] = v
def __getattr__(self, attr):
return self.get(attr)
def __setattr__(self, key, value):
self.__setitem__(key, value)
def __setitem__(self, key, value):
super(Map, self).__setitem__(key, value)
self.__dict__.update({key: value})
def __delattr__(self, item):
self.__delitem__(item)
def __delitem__(self, key):
super(Map, self).__delitem__(key)
del self.__dict__[key]
def toDict(self):
return self.__dict__ |