-
Notifications
You must be signed in to change notification settings - Fork 0
/
vis_tools.py
96 lines (83 loc) · 2.75 KB
/
vis_tools.py
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
import time
import numpy as np
import matplotlib
import torch as t
import visdom
from matplotlib import pyplot as plot
class Visualizer(object):
"""
wrapper for visdom
you can still access naive visdom function by
self.line, self.scater,self._send,etc.
due to the implementation of `__getattr__`
"""
def __init__(self, env='default', **kwargs):
self.vis = visdom.Visdom(env=env, use_incoming_socket=False, **kwargs)
self._vis_kw = kwargs
# e.g.('loss',23) the 23th value of loss
self.index = {}
self.log_text = ''
def reinit(self, env='default', **kwargs):
"""
change the config of visdom
"""
self.vis = visdom.Visdom(env=env, **kwargs)
return self
def plot_many(self, d):
"""
plot multi values
@params d: dict (name,value) i.e. ('loss',0.11)
"""
for k, v in d.items():
if v is not None:
self.plot(k, v)
def img_many(self, d):
for k, v in d.items():
self.img(k, v)
def plot(self, name, y, **kwargs):
"""
self.plot('loss',1.00)
"""
x = self.index.get(name, 0)
self.vis.line(Y=np.array([y]), X=np.array([x]),
win=name,
opts=dict(title=name),
update=None if x == 0 else 'append',
**kwargs
)
self.index[name] = x + 1
def img(self, name, img_, **kwargs):
"""
self.img('input_img',t.Tensor(64,64))
self.img('input_imgs',t.Tensor(3,64,64))
self.img('input_imgs',t.Tensor(100,1,64,64))
self.img('input_imgs',t.Tensor(100,3,64,64),nrows=10)
!!don't ~~self.img('input_imgs',t.Tensor(100,64,64),nrows=10)~~!!
"""
self.vis.images(t.Tensor(img_).numpy(),
win=name,
opts=dict(title=name),
**kwargs
)
def log(self, info, win='log_text'):
"""
self.log({'loss':1,'lr':0.0001})
"""
self.log_text += ('[{time}] {info} <br>'.format(
time=time.strftime('%m%d_%H%M%S'), \
info=info))
self.vis.text(self.log_text, win)
def __getattr__(self, name):
return getattr(self.vis, name)
def state_dict(self):
return {
'index': self.index,
'vis_kw': self._vis_kw,
'log_text': self.log_text,
'env': self.vis.env
}
def load_state_dict(self, d):
self.vis = visdom.Visdom(env=d.get('env', self.vis.env), **(self.d.get('vis_kw')))
self.log_text = d.get('log_text', '')
self.index = d.get('index', dict())
return self