Upload utils.py
Browse files
utils.py
ADDED
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import torch
|
2 |
+
import torch.nn as nn
|
3 |
+
from enum import Enum
|
4 |
+
|
5 |
+
import base64
|
6 |
+
import json
|
7 |
+
from io import BytesIO
|
8 |
+
from PIL import Image
|
9 |
+
import requests
|
10 |
+
import re
|
11 |
+
|
12 |
+
class ImageType(Enum):
|
13 |
+
REAL_UP_L = 0
|
14 |
+
REAL_UP_R = 1
|
15 |
+
REAL_DOWN_R = 2
|
16 |
+
REAL_DOWN_L = 3
|
17 |
+
FAKE = 4
|
18 |
+
|
19 |
+
|
20 |
+
def crop_image_part(image: torch.Tensor,
|
21 |
+
part: ImageType) -> torch.Tensor:
|
22 |
+
size = image.shape[2] // 2
|
23 |
+
|
24 |
+
if part == ImageType.REAL_UP_L:
|
25 |
+
return image[:, :, :size, :size]
|
26 |
+
|
27 |
+
elif part == ImageType.REAL_UP_R:
|
28 |
+
return image[:, :, :size, size:]
|
29 |
+
|
30 |
+
elif part == ImageType.REAL_DOWN_L:
|
31 |
+
return image[:, :, size:, :size]
|
32 |
+
|
33 |
+
elif part == ImageType.REAL_DOWN_R:
|
34 |
+
return image[:, :, size:, size:]
|
35 |
+
|
36 |
+
else:
|
37 |
+
raise ValueError('invalid part')
|
38 |
+
|
39 |
+
|
40 |
+
def init_weights(module: nn.Module):
|
41 |
+
if isinstance(module, nn.Conv2d):
|
42 |
+
torch.nn.init.normal_(module.weight, 0.0, 0.02)
|
43 |
+
|
44 |
+
if isinstance(module, nn.BatchNorm2d):
|
45 |
+
torch.nn.init.normal_(module.weight, 1.0, 0.02)
|
46 |
+
module.bias.data.fill_(0)
|
47 |
+
|
48 |
+
def load_image_from_local(image_path, image_resize=None):
|
49 |
+
image = Image.open(image_path)
|
50 |
+
|
51 |
+
if isinstance(image_resize, tuple):
|
52 |
+
image = image.resize(image_resize)
|
53 |
+
return image
|
54 |
+
|
55 |
+
def load_image_from_url(image_url, rgba_mode=False, image_resize=None, default_image=None):
|
56 |
+
try:
|
57 |
+
image = Image.open(requests.get(image_url, stream=True).raw)
|
58 |
+
|
59 |
+
if rgba_mode:
|
60 |
+
image = image.convert("RGBA")
|
61 |
+
|
62 |
+
if isinstance(image_resize, tuple):
|
63 |
+
image = image.resize(image_resize)
|
64 |
+
|
65 |
+
except Exception as e:
|
66 |
+
image = None
|
67 |
+
if default_image:
|
68 |
+
image = load_image_from_local(default_image, image_resize=image_resize)
|
69 |
+
|
70 |
+
return image
|
71 |
+
|
72 |
+
def image_to_base64(image_array):
|
73 |
+
buffered = BytesIO()
|
74 |
+
image_array.save(buffered, format="PNG")
|
75 |
+
image_b64 = base64.b64encode(buffered.getvalue()).decode("utf-8")
|
76 |
+
return f"data:image/png;base64, {image_b64}"
|