ssds.modeling.nets

ssds.modeling.nets.darknet

ssds.modeling.nets.darknet.DarkNet53(outputs, **kwargs)[source]

ssds.modeling.nets.densenet

ssds.modeling.nets.densenet.DenseNet121(outputs, **kwargs)[source]

ssds.modeling.nets.efficientnet

ssds.modeling.nets.efficientnet.EfficientNetB0(outputs, **kwargs)[source]
ssds.modeling.nets.efficientnet.EfficientNetB1(outputs, **kwargs)[source]
ssds.modeling.nets.efficientnet.EfficientNetB2(outputs, **kwargs)[source]
ssds.modeling.nets.efficientnet.EfficientNetB3(outputs, **kwargs)[source]
ssds.modeling.nets.efficientnet.EfficientNetB4(outputs, **kwargs)[source]
ssds.modeling.nets.efficientnet.EfficientNetB5(outputs, **kwargs)[source]

ssds.modeling.nets.effnet

This file is similar with the effcientnet file, but use torch hub instand of using

ssds.modeling.nets.effnet.EffNetB0(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB1(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB2(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB3(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB4(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB5(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB6(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB7(outputs, **kwargs)[source]
ssds.modeling.nets.effnet.EffNetB0Ex(outputs, **kwargs)[source]

ssds.modeling.nets.inception_v2

class ssds.modeling.nets.inception_v2.InceptionV2(outputs=[], url=None)[source]

ssds.modeling.nets.mobilenet

ssds.modeling.nets.mobilenet.MobileNetV1(outputs, **kwargs)[source]
ssds.modeling.nets.mobilenet.MobileNetV2(outputs, **kwargs)[source]

ssds.modeling.nets.regnet

ssds.modeling.nets.regnet.RegNetX002(outputs, **kwargs)[source]

s1-4: {24, 56, 368, 152}

ssds.modeling.nets.regnet.RegNetX004(outputs, **kwargs)[source]

s1-4: {32, 64, 160, 384}

ssds.modeling.nets.regnet.RegNetX006(outputs, **kwargs)[source]

s1-4: {48, 96, 240, 528}

ssds.modeling.nets.regnet.RegNetX008(outputs, **kwargs)[source]

s1-4: {64, 128, 288, 672}

ssds.modeling.nets.regnet.RegNetX016(outputs, **kwargs)[source]

s1-4: {72, 168, 408, 912}

ssds.modeling.nets.regnet.RegNetX032(outputs, **kwargs)[source]

s1-4: {96, 192, 432, 1008}

ssds.modeling.nets.regnet.RegNetX040(outputs, **kwargs)[source]

s1-4: {80, 240, 560, 1360}

ssds.modeling.nets.regnet.RegNetX064(outputs, **kwargs)[source]

s1-4: {168, 392, 784, 1624}

ssds.modeling.nets.regnet.RegNetX080(outputs, **kwargs)[source]

s1-4: {80, 240, 720, 1920}

ssds.modeling.nets.regnet.RegNetX120(outputs, **kwargs)[source]

s1-4: {224, 448, 896, 2240}

ssds.modeling.nets.regnet.RegNetX160(outputs, **kwargs)[source]

s1-4: {256, 512, 896, 2048}

ssds.modeling.nets.regnet.RegNetX320(outputs, **kwargs)[source]

s1-4: {336, 672, 1344, 2520}

ssds.modeling.nets.resnet

ssds.modeling.nets.resnet.ResNet18(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.ResNet34(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.ResNet50(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.ResNet101(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.ResNet152(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.ResNeXt50_32x4d(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.ResNeXt101_32x8d(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.WideResNet50_2(outputs, **kwargs)[source]
ssds.modeling.nets.resnet.WideResNet101_2(outputs, **kwargs)[source]

ssds.modeling.nets.shufflenet

ssds.modeling.nets.shufflenet.ShuffleNetV2_x1(outputs, **kwargs)[source]
ssds.modeling.nets.shufflenet.ShuffleNetV2_x2(outputs, **kwargs)[source]