vision

1
# Optional list of dependencies required by the package
2
dependencies = ["torch"]
3

4
from torchvision.models import get_model_weights, get_weight
5
from torchvision.models.alexnet import alexnet
6
from torchvision.models.convnext import convnext_base, convnext_large, convnext_small, convnext_tiny
7
from torchvision.models.densenet import densenet121, densenet161, densenet169, densenet201
8
from torchvision.models.efficientnet import (
9
    efficientnet_b0,
10
    efficientnet_b1,
11
    efficientnet_b2,
12
    efficientnet_b3,
13
    efficientnet_b4,
14
    efficientnet_b5,
15
    efficientnet_b6,
16
    efficientnet_b7,
17
    efficientnet_v2_l,
18
    efficientnet_v2_m,
19
    efficientnet_v2_s,
20
)
21
from torchvision.models.googlenet import googlenet
22
from torchvision.models.inception import inception_v3
23
from torchvision.models.maxvit import maxvit_t
24
from torchvision.models.mnasnet import mnasnet0_5, mnasnet0_75, mnasnet1_0, mnasnet1_3
25
from torchvision.models.mobilenetv2 import mobilenet_v2
26
from torchvision.models.mobilenetv3 import mobilenet_v3_large, mobilenet_v3_small
27
from torchvision.models.optical_flow import raft_large, raft_small
28
from torchvision.models.regnet import (
29
    regnet_x_16gf,
30
    regnet_x_1_6gf,
31
    regnet_x_32gf,
32
    regnet_x_3_2gf,
33
    regnet_x_400mf,
34
    regnet_x_800mf,
35
    regnet_x_8gf,
36
    regnet_y_128gf,
37
    regnet_y_16gf,
38
    regnet_y_1_6gf,
39
    regnet_y_32gf,
40
    regnet_y_3_2gf,
41
    regnet_y_400mf,
42
    regnet_y_800mf,
43
    regnet_y_8gf,
44
)
45
from torchvision.models.resnet import (
46
    resnet101,
47
    resnet152,
48
    resnet18,
49
    resnet34,
50
    resnet50,
51
    resnext101_32x8d,
52
    resnext101_64x4d,
53
    resnext50_32x4d,
54
    wide_resnet101_2,
55
    wide_resnet50_2,
56
)
57
from torchvision.models.segmentation import (
58
    deeplabv3_mobilenet_v3_large,
59
    deeplabv3_resnet101,
60
    deeplabv3_resnet50,
61
    fcn_resnet101,
62
    fcn_resnet50,
63
    lraspp_mobilenet_v3_large,
64
)
65
from torchvision.models.shufflenetv2 import (
66
    shufflenet_v2_x0_5,
67
    shufflenet_v2_x1_0,
68
    shufflenet_v2_x1_5,
69
    shufflenet_v2_x2_0,
70
)
71
from torchvision.models.squeezenet import squeezenet1_0, squeezenet1_1
72
from torchvision.models.swin_transformer import swin_b, swin_s, swin_t, swin_v2_b, swin_v2_s, swin_v2_t
73
from torchvision.models.vgg import vgg11, vgg11_bn, vgg13, vgg13_bn, vgg16, vgg16_bn, vgg19, vgg19_bn
74
from torchvision.models.video import (
75
    mc3_18,
76
    mvit_v1_b,
77
    mvit_v2_s,
78
    r2plus1d_18,
79
    r3d_18,
80
    s3d,
81
    swin3d_b,
82
    swin3d_s,
83
    swin3d_t,
84
)
85
from torchvision.models.vision_transformer import vit_b_16, vit_b_32, vit_h_14, vit_l_16, vit_l_32
86