-
Notifications
You must be signed in to change notification settings - Fork 4
/
utils.py
58 lines (45 loc) · 1.78 KB
/
utils.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
"""utils
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1aguoynCs-cJ81RbK8ycpbPz8pakIUvc-
"""
from typing import Any, Optional, Tuple
import matplotlib.pyplot as plt
import numpy as np
from numpy import ndarray
from datetime import datetime, timedelta
def plot_image(
image: np.ndarray, factor: float = 1.0, clip_range: Optional[Tuple[float, float]] = None, **kwargs: Any
) -> None:
"""Utility function for plotting RGB images."""
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(15, 15))
if clip_range is not None:
ax.imshow(np.clip(image * factor, *clip_range), **kwargs)
else:
ax.imshow(image * factor, **kwargs)
ax.set_xticks([])
ax.set_yticks([])
plt.gca().set_axis_off()
ax.set_frame_on(False)
def save_image(
image: np.ndarray, filename: str, factor: float = 1.0, clip_range: Optional[Tuple[float, float]] = None, **kwargs: Any
) -> None:
"""Utility function for saving RGB images to a file."""
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(15, 15))
if clip_range is not None:
ax.imshow(np.clip(image * factor, *clip_range), **kwargs)
else:
ax.imshow(image * factor, **kwargs)
ax.set_xticks([])
ax.set_yticks([])
plt.gca().set_axis_off()
plt.margins(0,0)
plt.savefig(filename, bbox_inches="tight",pad_inches = 0)
plt.close()
def date_range(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d")
end_date = datetime.strptime(end_date, "%Y-%m-%d")
date_list = [((start_date + timedelta(days=x)).strftime("%Y-%m-%d"),
(start_date + timedelta(days=x+1)).strftime("%Y-%m-%d"))
for x in range((end_date-start_date).days + 1)]
return date_list