| # Gluon Model Zoo |
| |
| ```eval_rst |
| .. currentmodule:: mxnet.gluon.model_zoo |
| ``` |
| |
| ## Overview |
| |
| This document lists the model APIs in Gluon: |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| mxnet.gluon.model_zoo |
| mxnet.gluon.model_zoo.vision |
| ``` |
| |
| The `Gluon Model Zoo` API, defined in the `gluon.model_zoo` package, provides pre-defined |
| and pre-trained models to help bootstrap machine learning applications. |
| |
| In the rest of this document, we list routines provided by the `gluon.model_zoo` package. |
| |
| ### Vision |
| |
| ```eval_rst |
| .. currentmodule:: mxnet.gluon.model_zoo.vision |
| .. automodule:: mxnet.gluon.model_zoo.vision |
| ``` |
| |
| The following table summarizes the available models. |
| |
| | Alias | Network | # Parameters | Top-1 Accuracy | Top-5 Accuracy | Origin | |
| |---------------|---------------------------------------------------------------------------------------|--------------|----------------|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------| |
| | alexnet | [AlexNet](https://arxiv.org/abs/1404.5997) | 61,100,840 | 0.5492 | 0.7803 | Converted from pytorch vision | |
| | densenet121 | [DenseNet-121](https://arxiv.org/pdf/1608.06993.pdf) | 8,062,504 | 0.7497 | 0.9225 | Converted from pytorch vision | |
| | densenet161 | [DenseNet-161](https://arxiv.org/pdf/1608.06993.pdf) | 28,900,936 | 0.7770 | 0.9380 | Converted from pytorch vision | |
| | densenet169 | [DenseNet-169](https://arxiv.org/pdf/1608.06993.pdf) | 14,307,880 | 0.7617 | 0.9317 | Converted from pytorch vision | |
| | densenet201 | [DenseNet-201](https://arxiv.org/pdf/1608.06993.pdf) | 20,242,984 | 0.7732 | 0.9362 | Converted from pytorch vision | |
| | inceptionv3 | [Inception V3 299x299](http://arxiv.org/abs/1512.00567) | 23,869,000 | 0.7755 | 0.9364 | Converted from pytorch vision | |
| | mobilenet0.25 | [MobileNet 0.25](https://arxiv.org/abs/1704.04861) | 475,544 | 0.5185 | 0.7608 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| | mobilenet0.5 | [MobileNet 0.5](https://arxiv.org/abs/1704.04861) | 1,342,536 | 0.6307 | 0.8475 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| | mobilenet0.75 | [MobileNet 0.75](https://arxiv.org/abs/1704.04861) | 2,601,976 | 0.6738 | 0.8782 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| | mobilenet1.0 | [MobileNet 1.0](https://arxiv.org/abs/1704.04861) | 4,253,864 | 0.7105 | 0.9006 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| | mobilenetv2_1.0 | [MobileNetV2 1.0](https://arxiv.org/abs/1801.04381) | 3,539,136 | 0.7192 | 0.9056 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | mobilenetv2_0.75 | [MobileNetV2 0.75](https://arxiv.org/abs/1801.04381) | 2,653,864 | 0.6961 | 0.8895 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | mobilenetv2_0.5 | [MobileNetV2 0.5](https://arxiv.org/abs/1801.04381) | 1,983,104 | 0.6449 | 0.8547 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | mobilenetv2_0.25 | [MobileNetV2 0.25](https://arxiv.org/abs/1801.04381) | 1,526,856 | 0.5074 | 0.7456 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet18_v1 | [ResNet-18 V1](http://arxiv.org/abs/1512.03385) | 11,699,112 | 0.7093 | 0.8992 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet34_v1 | [ResNet-34 V1](http://arxiv.org/abs/1512.03385) | 21,814,696 | 0.7437 | 0.9187 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet50_v1 | [ResNet-50 V1](http://arxiv.org/abs/1512.03385) | 25,629,032 | 0.7647 | 0.9313 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet101_v1 | [ResNet-101 V1](http://arxiv.org/abs/1512.03385) | 44,695,144 | 0.7834 | 0.9401 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet152_v1 | [ResNet-152 V1](http://arxiv.org/abs/1512.03385) | 60,404,072 | 0.7900 | 0.9438 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet18_v2 | [ResNet-18 V2](https://arxiv.org/abs/1603.05027) | 11,695,796 | 0.7100 | 0.8992 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet34_v2 | [ResNet-34 V2](https://arxiv.org/abs/1603.05027) | 21,811,380 | 0.7440 | 0.9208 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet50_v2 | [ResNet-50 V2](https://arxiv.org/abs/1603.05027) | 25,595,060 | 0.7711 | 0.9343 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet101_v2 | [ResNet-101 V2](https://arxiv.org/abs/1603.05027) | 44,639,412 | 0.7853 | 0.9417 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | resnet152_v2 | [ResNet-152 V2](https://arxiv.org/abs/1603.05027) | 60,329,140 | 0.7921 | 0.9431 | Trained with [script](https://gluon-cv.mxnet.io/model_zoo/index.html#image-classification) | |
| | squeezenet1.0 | [SqueezeNet 1.0](https://arxiv.org/abs/1602.07360) | 1,248,424 | 0.5611 | 0.7909 | Converted from pytorch vision | |
| | squeezenet1.1 | [SqueezeNet 1.1](https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1) | 1,235,496 | 0.5496 | 0.7817 | Converted from pytorch vision | |
| | vgg11 | [VGG-11](https://arxiv.org/abs/1409.1556) | 132,863,336 | 0.6662 | 0.8734 | Converted from pytorch vision | |
| | vgg13 | [VGG-13](https://arxiv.org/abs/1409.1556) | 133,047,848 | 0.6774 | 0.8811 | Converted from pytorch vision | |
| | vgg16 | [VGG-16](https://arxiv.org/abs/1409.1556) | 138,357,544 | 0.7323 | 0.9132 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| | vgg19 | [VGG-19](https://arxiv.org/abs/1409.1556) | 143,667,240 | 0.7411 | 0.9135 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| | vgg11_bn | [VGG-11 with batch normalization](https://arxiv.org/abs/1409.1556) | 132,874,344 | 0.6859 | 0.8872 | Converted from pytorch vision | |
| | vgg13_bn | [VGG-13 with batch normalization](https://arxiv.org/abs/1409.1556) | 133,059,624 | 0.6884 | 0.8882 | Converted from pytorch vision | |
| | vgg16_bn | [VGG-16 with batch normalization](https://arxiv.org/abs/1409.1556) | 138,374,440 | 0.7310 | 0.9176 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| | vgg19_bn | [VGG-19 with batch normalization](https://arxiv.org/abs/1409.1556) | 143,689,256 | 0.7433 | 0.9185 | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py) | |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| get_model |
| ``` |
| |
| #### ResNet |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| resnet18_v1 |
| resnet34_v1 |
| resnet50_v1 |
| resnet101_v1 |
| resnet152_v1 |
| resnet18_v2 |
| resnet34_v2 |
| resnet50_v2 |
| resnet101_v2 |
| resnet152_v2 |
| ``` |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| ResNetV1 |
| ResNetV2 |
| BasicBlockV1 |
| BasicBlockV2 |
| BottleneckV1 |
| BottleneckV2 |
| get_resnet |
| ``` |
| |
| #### VGG |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| vgg11 |
| vgg13 |
| vgg16 |
| vgg19 |
| vgg11_bn |
| vgg13_bn |
| vgg16_bn |
| vgg19_bn |
| ``` |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| VGG |
| get_vgg |
| ``` |
| |
| #### Alexnet |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| alexnet |
| ``` |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| AlexNet |
| ``` |
| |
| #### DenseNet |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| densenet121 |
| densenet161 |
| densenet169 |
| densenet201 |
| ``` |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| DenseNet |
| ``` |
| |
| #### SqueezeNet |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| squeezenet1_0 |
| squeezenet1_1 |
| ``` |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| SqueezeNet |
| ``` |
| |
| #### Inception |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| inception_v3 |
| ``` |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| Inception3 |
| ``` |
| |
| #### MobileNet |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| mobilenet1_0 |
| mobilenet0_75 |
| mobilenet0_5 |
| mobilenet0_25 |
| mobilenet_v2_1_0 |
| mobilenet_v2_0_75 |
| mobilenet_v2_0_5 |
| mobilenet_v2_0_25 |
| ``` |
| |
| ```eval_rst |
| .. autosummary:: |
| :nosignatures: |
| |
| MobileNet |
| MobileNetV2 |
| ``` |
| |
| ## API Reference |
| |
| <script type="text/javascript" src='../../../_static/js/auto_module_index.js'></script> |
| |
| ```eval_rst |
| |
| .. automodule:: mxnet.gluon.model_zoo |
| |
| .. automodule:: mxnet.gluon.model_zoo.vision |
| :members: |
| :imported-members: |
| |
| ``` |
| |
| <script>auto_index("api-reference");</script> |
