GCI Add Model To Model Zoo (#465)

* added vgg19

* added vgg19 json model

export to keras and caffe works, not to tensorflow

* added zfnet model

* added zfnet list element

* added ZFNet to tested models

it is possible to export to keras, caffe, and tensorflow

* added zfnet as tested model

* remove vgg19 since vgg16 already present

* removed vgg19 from list

* fixed zfnet typo

docs/source/tested_models.md

@@ -17,6 +17,7 @@
 * DeepYeast [\[Source\]](http://kodu.ut.ee/~leopoldp/2016_DeepYeast/code/caffe_model/)[\[Visualise\]](http://fabrik.cloudcv.org/caffe/load?id=20180102135425bzkzy)
 * SpeechNet [\[Source\]](https://github.com/pannous/caffe-speech-recognition)[\[Visualise\]](http://fabrik.cloudcv.org/caffe/load?id=20180102135032ctsho)
 * SENet [\[Source\]](https://github.com/hujie-frank/SENet) [\[Visualise\]](http://fabrik.cloudcv.org/caffe/load?id=20180106091323ectck)
+* ZFNet [\[Source\]](https://github.com/dandxy89/ImageModels/blob/master/ZFNet.ipynb)
 
 ### Detection
 

example/keras/zfnet.json

@@ -0,0 +1 @@
+{"class_name": "Model", "config": {"name": "ZFNet", "layers": [{"name": "input_2", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 225, 225, 3], "dtype": "float32", "sparse": false, "name": "input_2"}, "inbound_nodes": []}, {"name": "conv2d_6", "class_name": "Conv2D", "config": {"name": "conv2d_6", "trainable": true, "filters": 96, "kernel_size": [7, 7], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["input_2", 0, 0, {}]]]}, {"name": "zero_padding2d_6", "class_name": "ZeroPadding2D", "config": {"name": "zero_padding2d_6", "trainable": true, "padding": [[1, 1], [1, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["conv2d_6", 0, 0, {}]]]}, {"name": "max_pooling2d_4", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_4", "trainable": true, "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["zero_padding2d_6", 0, 0, {}]]]}, {"name": "batch_normalization_3", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_3", "trainable": true, "axis": -1, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["max_pooling2d_4", 0, 0, {}]]]}, {"name": "conv2d_7", "class_name": "Conv2D", "config": {"name": "conv2d_7", "trainable": true, "filters": 256, "kernel_size": [5, 5], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]]}, {"name": "zero_padding2d_7", "class_name": "ZeroPadding2D", "config": {"name": "zero_padding2d_7", "trainable": true, "padding": [[1, 1], [1, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["conv2d_7", 0, 0, {}]]]}, {"name": "max_pooling2d_5", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_5", "trainable": true, "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["zero_padding2d_7", 0, 0, {}]]]}, {"name": "batch_normalization_4", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_4", "trainable": true, "axis": -1, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["max_pooling2d_5", 0, 0, {}]]]}, {"name": "zero_padding2d_8", "class_name": "ZeroPadding2D", "config": {"name": "zero_padding2d_8", "trainable": true, "padding": [[1, 1], [1, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["batch_normalization_4", 0, 0, {}]]]}, {"name": "conv2d_8", "class_name": "Conv2D", "config": {"name": "conv2d_8", "trainable": true, "filters": 384, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["zero_padding2d_8", 0, 0, {}]]]}, {"name": "zero_padding2d_9", "class_name": "ZeroPadding2D", "config": {"name": "zero_padding2d_9", "trainable": true, "padding": [[1, 1], [1, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]]}, {"name": "conv2d_9", "class_name": "Conv2D", "config": {"name": "conv2d_9", "trainable": true, "filters": 384, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["zero_padding2d_9", 0, 0, {}]]]}, {"name": "zero_padding2d_10", "class_name": "ZeroPadding2D", "config": {"name": "zero_padding2d_10", "trainable": true, "padding": [[1, 1], [1, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["conv2d_9", 0, 0, {}]]]}, {"name": "conv2d_10", "class_name": "Conv2D", "config": {"name": "conv2d_10", "trainable": true, "filters": 256, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["zero_padding2d_10", 0, 0, {}]]]}, {"name": "max_pooling2d_6", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_6", "trainable": true, "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["conv2d_10", 0, 0, {}]]]}, {"name": "flatten_2", "class_name": "Flatten", "config": {"name": "flatten_2", "trainable": true}, "inbound_nodes": [[["max_pooling2d_6", 0, 0, {}]]]}, {"name": "dense_3", "class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "units": 4096, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["flatten_2", 0, 0, {}]]]}, {"name": "dropout_3", "class_name": "Dropout", "config": {"name": "dropout_3", "trainable": true, "rate": 0.5, "noise_shape": null, "seed": null}, "inbound_nodes": [[["dense_3", 0, 0, {}]]]}, {"name": "dense_4", "class_name": "Dense", "config": {"name": "dense_4", "trainable": true, "units": 4096, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["dropout_3", 0, 0, {}]]]}, {"name": "dropout_4", "class_name": "Dropout", "config": {"name": "dropout_4", "trainable": true, "rate": 0.5, "noise_shape": null, "seed": null}, "inbound_nodes": [[["dense_4", 0, 0, {}]]]}, {"name": "dense_5", "class_name": "Dense", "config": {"name": "dense_5", "trainable": true, "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["dropout_4", 0, 0, {}]]]}], "input_layers": [["input_2", 0, 0]], "output_layers": [["dense_5", 0, 0]]}, "keras_version": "2.1.4", "backend": "tensorflow"}

ide/static/js/modelZoo.js

@@ -140,6 +140,7 @@ class ModelZoo extends React.Component {
             <ModelElement importNet={this.props.importNet} framework="caffe" id="alexnet" displayName="AlexNet"> </ModelElement>
             <ModelElement importNet={this.props.importNet} framework="caffe" id="All_CNN" displayName="All CNN"> </ModelElement>
             <ModelElement importNet={this.props.importNet} framework="caffe" id="vgg16" displayName="VGG 16"> </ModelElement>
+            <ModelElement importNet={this.props.importNet} framework="keras" id="zfnet" displayName="ZFNet"> </ModelElement>
             <ModelElement importNet={this.props.importNet} framework="caffe" id="densenet" displayName="DenseNet"> </ModelElement>
             <ModelElement importNet={this.props.importNet} framework="caffe" id="GoogleNet" displayName="GoogLeNet"> </ModelElement>
             <ModelElement importNet={this.props.importNet} framework="caffe" id="resnet101" displayName="ResNet 101"> </ModelElement>

tutorials/tested_models.md

@@ -21,6 +21,7 @@
 * SENet [\[Source\]](https://github.com/hujie-frank/SENet) [\[Visualise\]](http://fabrik.cloudcv.org/caffe/load?id=20180106091323ectck)
 * SimpleNet [\[Source\]](https://github.com/Coderx7/SimpleNet) [\[Visualise\]](http://fabrik.cloudcv.org/caffe/load?id=20180303031044putlf)
 * InceptionV4 [\[Source\]](https://github.com/kentsommer/keras-inceptionV4/blob/master/inception_v4.py)
+* ZFNet [\[Source\]](https://github.com/dandxy89/ImageModels/blob/master/ZFNet.ipynb)
 
 ### Detection
 * 48NET [\[Source\]](https://github.com/CongWeilin/mtcnn-caffe/tree/master/48net)[\[Visualise\]](http://fabrik.cloudcv.org/caffe/load?id=20180110093832phqza)