├── LICENSE ├── Layers ├── BiFPN.py ├── FRN.py └── attention.py ├── Others └── tcn.py ├── README.md ├── 卷积模块 ├── Res2Net.py ├── SE.py └── deformable_conv │ ├── cnn.py │ ├── deform_conv.py │ ├── deform_layer.py │ ├── scaled_mnist.py │ └── utils.py ├── 常用分割损失函数和指标 ├── B_Focal_loss.py ├── C_Focal_loss.py ├── Focal_Tversky_loss.py ├── WCCE.py ├── losses.py ├── lovasz_losses.py └── metrics.py ├── 常用分割模型 ├── DeeplabV3+.py ├── FCN8S.py ├── FastFCN │ ├── JPU.py │ ├── resnet.py │ └── train.py ├── HRNet.py ├── ICNet.py ├── MiniNetv2.py ├── PSPNet-ResNet50.py ├── RAUNet-3D.py ├── Refinenet.py ├── ResNextFPN.py ├── ResUNet-a.py ├── SegNet.py ├── UNET.py ├── Unet_Xception_Resnetblock.py ├── Unet_family │ └── Unet_family.py └── deeplabv2.py ├── 常用分类模型 ├── AlexNet.py ├── Darknet53.py ├── DenseNet.py ├── GoogleNet.py ├── MNasNet.py ├── MobileNetV3 │ ├── __pycache__ │ │ ├── mobilenet_base.cpython-36.pyc │ │ ├── mobilenet_v3_large.cpython-36.pyc │ │ └── mobilenet_v3_small.cpython-36.pyc │ ├── mobilenet_base.py │ ├── mobilenet_v3_large.py │ ├── mobilenet_v3_small.py │ └── train.py ├── ResNest.py ├── Resnet34.py ├── Resnet50.py ├── SEResNeXt.py ├── SE_HRNet.py ├── Squeeze-Excite-Network │ ├── se.py │ ├── se_densenet.py │ ├── se_inception_resnet_v2.py │ ├── se_inception_v3.py │ ├── se_mobilenets.py │ ├── se_resnet.py │ └── se_resnext.py ├── VGG16.py ├── __pycache__ │ └── AdaBound.cpython-36.pyc ├── dual_path_network.py └── efficientnet.py └── 新型激活函数 └── Activation.py /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1044197988/TF.Keras-Commonly-used-models/HEAD/LICENSE -------------------------------------------------------------------------------- /Layers/BiFPN.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1044197988/TF.Keras-Commonly-used-models/HEAD/Layers/BiFPN.py 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