Deci-AI
/
super-gradients
connected to https://github.com/Deci-AI/super-gradients.git


  
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

	
201

	
202

	
203

	
204

	
205

	
206

	
207

	
208

	
209

	
210

	
211

	
212

	
213

	
214

	
215

	
216

	
217

	
218

	
219

	
220

	
221

	
222

	
223

	
224

	
225

	
226

	
227

	
            from super_gradients.training.models import ResNeXt50, ResNeXt101, googlenet_v1
from super_gradients.training.models.classification_models import repvgg, efficientnet, densenet, resnet, regnet
from super_gradients.training.models.classification_models.mobilenetv2 import mobile_net_v2, mobile_net_v2_135, \
    custom_mobile_net_v2
from super_gradients.training.models.classification_models.mobilenetv3 import mobilenetv3_large, mobilenetv3_small, \
    mobilenetv3_custom
from super_gradients.training.models.classification_models.shufflenetv2 import ShufflenetV2_x0_5, ShufflenetV2_x1_0, \
    ShufflenetV2_x1_5, \
    ShufflenetV2_x2_0, CustomizedShuffleNetV2
from super_gradients.training.models.classification_models.vit import vit_base, vit_large, vit_huge
from super_gradients.training.models.detection_models.csp_darknet53 import CSPDarknet53
from super_gradients.training.models.detection_models.darknet53 import Darknet53
from super_gradients.training.models.detection_models.ssd import SSDMobileNetV1, SSDLiteMobileNetV2
from super_gradients.training.models.detection_models.yolox import YoloX_N, YoloX_T, YoloX_S, YoloX_M, YoloX_L, YoloX_X, CustomYoloX
from super_gradients.training.models.segmentation_models.ddrnet import DDRNet23, DDRNet23Slim, AnyBackBoneDDRNet23
from super_gradients.training.models.segmentation_models.regseg import RegSeg48
from super_gradients.training.models.segmentation_models.shelfnet import ShelfNet18_LW, ShelfNet34_LW, ShelfNet50, \
    ShelfNet503343, ShelfNet101
from super_gradients.training.models.segmentation_models.stdc import STDC1Classification, STDC2Classification, \
    STDC1Seg, STDC2Seg

from super_gradients.training.models.kd_modules.kd_module import KDModule
from super_gradients.training.models.classification_models.beit import beit_base_patch16_224, beit_large_patch16_224
from super_gradients.training.models.segmentation_models.ppliteseg import PPLiteSegT, PPLiteSegB


class ModelNames:
    """Static class to hold all the available model names"""""
    RESNET18 = "resnet18"
    RESNET34 = "resnet34"
    RESNET50_3343 = "resnet50_3343"
    RESNET50 = "resnet50"
    RESNET101 = "resnet101"
    RESNET152 = "resnet152"
    RESNET18_CIFAR = "resnet18_cifar"
    CUSTOM_RESNET = "custom_resnet"
    CUSTOM_RESNET50 = "custom_resnet50"
    CUSTOM_RESNET_CIFAR = "custom_resnet_cifar"
    CUSTOM_RESNET50_CIFAR = "custom_resnet50_cifar"
    MOBILENET_V2 = "mobilenet_v2"
    MOBILE_NET_V2_135 = "mobile_net_v2_135"
    CUSTOM_MOBILENET_V2 = "custom_mobilenet_v2"
    MOBILENET_V3_LARGE = "mobilenet_v3_large"
    MOBILENET_V3_SMALL = "mobilenet_v3_small"
    MOBILENET_V3_CUSTOM = "mobilenet_v3_custom"
    CUSTOM_DENSENET = "custom_densenet"
    DENSENET121 = "densenet121"
    DENSENET161 = "densenet161"
    DENSENET169 = "densenet169"
    DENSENET201 = "densenet201"
    SHELFNET18_LW = "shelfnet18_lw"
    SHELFNET34_LW = "shelfnet34_lw"
    SHELFNET50_3343 = "shelfnet50_3343"
    SHELFNET50 = "shelfnet50"
    SHELFNET101 = "shelfnet101"
    SHUFFLENET_V2_X0_5 = "shufflenet_v2_x0_5"
    SHUFFLENET_V2_X1_0 = "shufflenet_v2_x1_0"
    SHUFFLENET_V2_X1_5 = "shufflenet_v2_x1_5"
    SHUFFLENET_V2_X2_0 = "shufflenet_v2_x2_0"
    SHUFFLENET_V2_CUSTOM5 = "shufflenet_v2_custom5"
    DARKNET53 = "darknet53"
    CSP_DARKNET53 = "csp_darknet53"
    RESNEXT50 = "resnext50"
    RESNEXT101 = "resnext101"
    GOOGLENET_V1 = "googlenet_v1"
    EFFICIENTNET_B0 = "efficientnet_b0"
    EFFICIENTNET_B1 = "efficientnet_b1"
    EFFICIENTNET_B2 = "efficientnet_b2"
    EFFICIENTNET_B3 = "efficientnet_b3"
    EFFICIENTNET_B4 = "efficientnet_b4"
    EFFICIENTNET_B5 = "efficientnet_b5"
    EFFICIENTNET_B6 = "efficientnet_b6"
    EFFICIENTNET_B7 = "efficientnet_b7"
    EFFICIENTNET_B8 = "efficientnet_b8"
    EFFICIENTNET_L2 = "efficientnet_l2"
    CUSTOMIZEDEFFICIENTNET = "CustomizedEfficientnet"
    REGNETY200 = "regnetY200"
    REGNETY400 = "regnetY400"
    REGNETY600 = "regnetY600"
    REGNETY800 = "regnetY800"
    CUSTOM_REGNET = "custom_regnet"
    NAS_REGNET = "nas_regnet"
    YOLOX_N = "yolox_n"
    YOLOX_T = "yolox_t"
    YOLOX_S = "yolox_s"
    YOLOX_M = "yolox_m"
    YOLOX_L = "yolox_l"
    YOLOX_X = "yolox_x"
    CUSTOM_YOLO_X = "CustomYoloX"
    SSD_MOBILENET_V1 = "ssd_mobilenet_v1"
    SSD_LITE_MOBILENET_V2 = "ssd_lite_mobilenet_v2"
    REPVGG_A0 = "repvgg_a0"
    REPVGG_A1 = "repvgg_a1"
    REPVGG_A2 = "repvgg_a2"
    REPVGG_B0 = "repvgg_b0"
    REPVGG_B1 = "repvgg_b1"
    REPVGG_B2 = "repvgg_b2"
    REPVGG_B3 = "repvgg_b3"
    REPVGG_D2SE = "repvgg_d2se"
    REPVGG_CUSTOM = "repvgg_custom"
    DDRNET_23 = "ddrnet_23"
    DDRNET_23_SLIM = "ddrnet_23_slim"
    CUSTOM_DDRNET_23 = "custom_ddrnet_23"
    STDC1_CLASSIFICATION = "stdc1_classification"
    STDC2_CLASSIFICATION = "stdc2_classification"
    STDC1_SEG = "stdc1_seg"
    STDC1_SEG50 = "stdc1_seg50"
    STDC1_SEG75 = "stdc1_seg75"
    STDC2_SEG = "stdc2_seg"
    STDC2_SEG50 = "stdc2_seg50"
    STDC2_SEG75 = "stdc2_seg75"
    REGSEG48 = "regseg48"
    KD_MODULE = "kd_module"
    VIT_BASE = "vit_base"
    VIT_LARGE = "vit_large"
    VIT_HUGE = "vit_huge"
    BEIT_BASE_PATCH16_224 = "beit_base_patch16_224"
    BEIT_LARGE_PATCH16_224 = "beit_large_patch16_224"
    PP_LITE_T_SEG = "pp_lite_t_seg"
    PP_LITE_T_SEG50 = "pp_lite_t_seg50"
    PP_LITE_T_SEG75 = "pp_lite_t_seg75"
    PP_LITE_B_SEG = "pp_lite_b_seg"
    PP_LITE_B_SEG50 = "pp_lite_b_seg50"
    PP_LITE_B_SEG75 = "pp_lite_b_seg75"


ARCHITECTURES = {ModelNames.RESNET18: resnet.ResNet18,
                 ModelNames.RESNET34: resnet.ResNet34,
                 ModelNames.RESNET50_3343: resnet.ResNet50_3343,
                 ModelNames.RESNET50: resnet.ResNet50,
                 ModelNames.RESNET101: resnet.ResNet101,
                 ModelNames.RESNET152: resnet.ResNet152,
                 ModelNames.RESNET18_CIFAR: resnet.ResNet18Cifar,
                 ModelNames.CUSTOM_RESNET: resnet.CustomizedResnet,
                 ModelNames.CUSTOM_RESNET50: resnet.CustomizedResnet50,
                 ModelNames.CUSTOM_RESNET_CIFAR: resnet.CustomizedResnetCifar,
                 ModelNames.CUSTOM_RESNET50_CIFAR: resnet.CustomizedResnet50Cifar,
                 ModelNames.MOBILENET_V2: mobile_net_v2,
                 ModelNames.MOBILE_NET_V2_135: mobile_net_v2_135,
                 ModelNames.CUSTOM_MOBILENET_V2: custom_mobile_net_v2,
                 ModelNames.MOBILENET_V3_LARGE: mobilenetv3_large,
                 ModelNames.MOBILENET_V3_SMALL: mobilenetv3_small,
                 ModelNames.MOBILENET_V3_CUSTOM: mobilenetv3_custom,
                 ModelNames.CUSTOM_DENSENET: densenet.CustomizedDensnet,
                 ModelNames.DENSENET121: densenet.densenet121,
                 ModelNames.DENSENET161: densenet.densenet161,
                 ModelNames.DENSENET169: densenet.densenet169,
                 ModelNames.DENSENET201: densenet.densenet201,
                 ModelNames.SHELFNET18_LW: ShelfNet18_LW,
                 ModelNames.SHELFNET34_LW: ShelfNet34_LW,
                 ModelNames.SHELFNET50_3343: ShelfNet503343,
                 ModelNames.SHELFNET50: ShelfNet50,
                 ModelNames.SHELFNET101: ShelfNet101,
                 ModelNames.SHUFFLENET_V2_X0_5: ShufflenetV2_x0_5,
                 ModelNames.SHUFFLENET_V2_X1_0: ShufflenetV2_x1_0,
                 ModelNames.SHUFFLENET_V2_X1_5: ShufflenetV2_x1_5,
                 ModelNames.SHUFFLENET_V2_X2_0: ShufflenetV2_x2_0,
                 ModelNames.SHUFFLENET_V2_CUSTOM5: CustomizedShuffleNetV2,
                 ModelNames.DARKNET53: Darknet53,
                 ModelNames.CSP_DARKNET53: CSPDarknet53,
                 ModelNames.RESNEXT50: ResNeXt50,
                 ModelNames.RESNEXT101: ResNeXt101,
                 ModelNames.GOOGLENET_V1: googlenet_v1,
                 ModelNames.EFFICIENTNET_B0: efficientnet.b0,
                 ModelNames.EFFICIENTNET_B1: efficientnet.b1,
                 ModelNames.EFFICIENTNET_B2: efficientnet.b2,
                 ModelNames.EFFICIENTNET_B3: efficientnet.b3,
                 ModelNames.EFFICIENTNET_B4: efficientnet.b4,
                 ModelNames.EFFICIENTNET_B5: efficientnet.b5,
                 ModelNames.EFFICIENTNET_B6: efficientnet.b6,
                 ModelNames.EFFICIENTNET_B7: efficientnet.b7,
                 ModelNames.EFFICIENTNET_B8: efficientnet.b8,
                 ModelNames.EFFICIENTNET_L2: efficientnet.l2,
                 ModelNames.CUSTOMIZEDEFFICIENTNET: efficientnet.CustomizedEfficientnet,
                 ModelNames.REGNETY200: regnet.RegNetY200,
                 ModelNames.REGNETY400: regnet.RegNetY400,
                 ModelNames.REGNETY600: regnet.RegNetY600,
                 ModelNames.REGNETY800: regnet.RegNetY800,
                 ModelNames.CUSTOM_REGNET: regnet.CustomRegNet,
                 ModelNames.NAS_REGNET: regnet.NASRegNet,
                 ModelNames.YOLOX_N: YoloX_N,
                 ModelNames.YOLOX_T: YoloX_T,
                 ModelNames.YOLOX_S: YoloX_S,
                 ModelNames.YOLOX_M: YoloX_M,
                 ModelNames.YOLOX_L: YoloX_L,
                 ModelNames.YOLOX_X: YoloX_X,
                 ModelNames.CUSTOM_YOLO_X: CustomYoloX,
                 ModelNames.SSD_MOBILENET_V1: SSDMobileNetV1,
                 ModelNames.SSD_LITE_MOBILENET_V2: SSDLiteMobileNetV2,
                 ModelNames.REPVGG_A0: repvgg.RepVggA0,
                 ModelNames.REPVGG_A1: repvgg.RepVggA1,
                 ModelNames.REPVGG_A2: repvgg.RepVggA2,
                 ModelNames.REPVGG_B0: repvgg.RepVggB0,
                 ModelNames.REPVGG_B1: repvgg.RepVggB1,
                 ModelNames.REPVGG_B2: repvgg.RepVggB2,
                 ModelNames.REPVGG_B3: repvgg.RepVggB3,
                 ModelNames.REPVGG_D2SE: repvgg.RepVggD2SE,
                 ModelNames.REPVGG_CUSTOM: repvgg.RepVggCustom,
                 ModelNames.DDRNET_23: DDRNet23,
                 ModelNames.DDRNET_23_SLIM: DDRNet23Slim,
                 ModelNames.CUSTOM_DDRNET_23: AnyBackBoneDDRNet23,
                 ModelNames.STDC1_CLASSIFICATION: STDC1Classification,
                 ModelNames.STDC2_CLASSIFICATION: STDC2Classification,
                 ModelNames.STDC1_SEG: STDC1Seg,
                 ModelNames.STDC1_SEG50: STDC1Seg,
                 ModelNames.STDC1_SEG75: STDC1Seg,
                 ModelNames.STDC2_SEG: STDC2Seg,
                 ModelNames.STDC2_SEG50: STDC2Seg,
                 ModelNames.STDC2_SEG75: STDC2Seg,
                 ModelNames.REGSEG48: RegSeg48,
                 ModelNames.KD_MODULE: KDModule,
                 ModelNames.VIT_BASE: vit_base,
                 ModelNames.VIT_LARGE: vit_large,
                 ModelNames.VIT_HUGE: vit_huge,
                 ModelNames.BEIT_BASE_PATCH16_224: beit_base_patch16_224,
                 ModelNames.BEIT_LARGE_PATCH16_224: beit_large_patch16_224,
                 ModelNames.PP_LITE_T_SEG: PPLiteSegT,
                 ModelNames.PP_LITE_T_SEG50: PPLiteSegT,
                 ModelNames.PP_LITE_T_SEG75: PPLiteSegT,
                 ModelNames.PP_LITE_B_SEG: PPLiteSegB,
                 ModelNames.PP_LITE_B_SEG50: PPLiteSegB,
                 ModelNames.PP_LITE_B_SEG75: PPLiteSegB,
                 }

KD_ARCHITECTURES = {
    ModelNames.KD_MODULE: KDModule
}