jnordberg / dreamcanvas

DeepDream experiment

DreamCanvas

DeepDream experiment, hosted here: https://dream.almost.digital

Dependencies

• Build-essentials (clang/gcc, make, etc.)
• python3
• node.js + npm (version 7)
• TensorFlow (version 1.1.0)
• sharp (image processing with vips)
• node-canvas (canvas implementation with cairo)

Rest of the dependencies are listed in package.json and will be installed automatically.

Running

Run these in separate terminal windows for best results.

Dreamer service

make dreamer

This starts the python service that does the actual image processing.

Websocket service

make server

Starts the node.js websocket server that manages the clients and submits the canvas for dreaming to the python service.

Client

make preview

This starts the wintersmith preview server serving the web app in client/. If you plan to host this somewhere you should run make build to build a static version of the client that can be deployed to any webserver.

---

Share and enjoy!

dreamcanvas's Issues

How did you get the inception5h layer and input related info?

In dream.py, you list the following layer and model info:

# [
# 'input' type=Placeholder>,
# 'sub/y' type=Const>,
# 'sub' type=Sub>,
# 'ExpandDims/dim' type=Const>,
# 'ExpandDims' type=ExpandDims>,
# 'import/input' type=Placeholder>,
# 'import/conv2d0_w' type=Const>,
# 'import/conv2d0_b' type=Const>,
# 'import/conv2d1_w' type=Const>,
# 'import/conv2d1_b' type=Const>,
# 'import/conv2d2_w' type=Const>,
# 'import/conv2d2_b' type=Const>,
# 'import/mixed3a_1x1_w' type=Const>,
# 'import/mixed3a_1x1_b' type=Const>,
# 'import/mixed3a_3x3_bottleneck_w' type=Const>,
# 'import/mixed3a_3x3_bottleneck_b' type=Const>,
# 'import/mixed3a_3x3_w' type=Const>,
# 'import/mixed3a_3x3_b' type=Const>,
# 'import/mixed3a_5x5_bottleneck_w' type=Const>,
# 'import/mixed3a_5x5_bottleneck_b' type=Const>,
# 'import/mixed3a_5x5_w' type=Const>,
# 'import/mixed3a_5x5_b' type=Const>,
# 'import/mixed3a_pool_reduce_w' type=Const>,
# 'import/mixed3a_pool_reduce_b' type=Const>,
# 'import/mixed3b_1x1_w' type=Const>,
# 'import/mixed3b_1x1_b' type=Const>,
# 'import/mixed3b_3x3_bottleneck_w' type=Const>,
# 'import/mixed3b_3x3_bottleneck_b' type=Const>,
# 'import/mixed3b_3x3_w' type=Const>,
# 'import/mixed3b_3x3_b' type=Const>,
# 'import/mixed3b_5x5_bottleneck_w' type=Const>,
# 'import/mixed3b_5x5_bottleneck_b' type=Const>,
# 'import/mixed3b_5x5_w' type=Const>,
# 'import/mixed3b_5x5_b' type=Const>,
# 'import/mixed3b_pool_reduce_w' type=Const>,
# 'import/mixed3b_pool_reduce_b' type=Const>,
# 'import/mixed4a_1x1_w' type=Const>,
# 'import/mixed4a_1x1_b' type=Const>,
# 'import/mixed4a_3x3_bottleneck_w' type=Const>,
# 'import/mixed4a_3x3_bottleneck_b' type=Const>,
# 'import/mixed4a_3x3_w' type=Const>,
# 'import/mixed4a_3x3_b' type=Const>,
# 'import/mixed4a_5x5_bottleneck_w' type=Const>,
# 'import/mixed4a_5x5_bottleneck_b' type=Const>,
# 'import/mixed4a_5x5_w' type=Const>,
# 'import/mixed4a_5x5_b' type=Const>,
# 'import/mixed4a_pool_reduce_w' type=Const>,
# 'import/mixed4a_pool_reduce_b' type=Const>,
# 'import/mixed4b_1x1_w' type=Const>,
# 'import/mixed4b_1x1_b' type=Const>,
# 'import/mixed4b_3x3_bottleneck_w' type=Const>,
# 'import/mixed4b_3x3_bottleneck_b' type=Const>,
# 'import/mixed4b_3x3_w' type=Const>,
# 'import/mixed4b_3x3_b' type=Const>,
# 'import/mixed4b_5x5_bottleneck_w' type=Const>,
# 'import/mixed4b_5x5_bottleneck_b' type=Const>,
# 'import/mixed4b_5x5_w' type=Const>,
# 'import/mixed4b_5x5_b' type=Const>,
# 'import/mixed4b_pool_reduce_w' type=Const>,
# 'import/mixed4b_pool_reduce_b' type=Const>,
# 'import/mixed4c_1x1_w' type=Const>,
# 'import/mixed4c_1x1_b' type=Const>,
# 'import/mixed4c_3x3_bottleneck_w' type=Const>,
# 'import/mixed4c_3x3_bottleneck_b' type=Const>,
# 'import/mixed4c_3x3_w' type=Const>,
# 'import/mixed4c_3x3_b' type=Const>,
# 'import/mixed4c_5x5_bottleneck_w' type=Const>,
# 'import/mixed4c_5x5_bottleneck_b' type=Const>,
# 'import/mixed4c_5x5_w' type=Const>,
# 'import/mixed4c_5x5_b' type=Const>,
# 'import/mixed4c_pool_reduce_w' type=Const>,
# 'import/mixed4c_pool_reduce_b' type=Const>,
# 'import/mixed4d_1x1_w' type=Const>,
# 'import/mixed4d_1x1_b' type=Const>,
# 'import/mixed4d_3x3_bottleneck_w' type=Const>,
# 'import/mixed4d_3x3_bottleneck_b' type=Const>,
# 'import/mixed4d_3x3_w' type=Const>,
# 'import/mixed4d_3x3_b' type=Const>,
# 'import/mixed4d_5x5_bottleneck_w' type=Const>,
# 'import/mixed4d_5x5_bottleneck_b' type=Const>,
# 'import/mixed4d_5x5_w' type=Const>,
# 'import/mixed4d_5x5_b' type=Const>,
# 'import/mixed4d_pool_reduce_w' type=Const>,
# 'import/mixed4d_pool_reduce_b' type=Const>,
# 'import/mixed4e_1x1_w' type=Const>,
# 'import/mixed4e_1x1_b' type=Const>,
# 'import/mixed4e_3x3_bottleneck_w' type=Const>,
# 'import/mixed4e_3x3_bottleneck_b' type=Const>,
# 'import/mixed4e_3x3_w' type=Const>,
# 'import/mixed4e_3x3_b' type=Const>,
# 'import/mixed4e_5x5_bottleneck_w' type=Const>,
# 'import/mixed4e_5x5_bottleneck_b' type=Const>,
# 'import/mixed4e_5x5_w' type=Const>,
# 'import/mixed4e_5x5_b' type=Const>,
# 'import/mixed4e_pool_reduce_w' type=Const>,
# 'import/mixed4e_pool_reduce_b' type=Const>,
# 'import/mixed5a_1x1_w' type=Const>,
# 'import/mixed5a_1x1_b' type=Const>,
# 'import/mixed5a_3x3_bottleneck_w' type=Const>,
# 'import/mixed5a_3x3_bottleneck_b' type=Const>,
# 'import/mixed5a_3x3_w' type=Const>,
# 'import/mixed5a_3x3_b' type=Const>,
# 'import/mixed5a_5x5_bottleneck_w' type=Const>,
# 'import/mixed5a_5x5_bottleneck_b' type=Const>,
# 'import/mixed5a_5x5_w' type=Const>,
# 'import/mixed5a_5x5_b' type=Const>,
# 'import/mixed5a_pool_reduce_w' type=Const>,
# 'import/mixed5a_pool_reduce_b' type=Const>,
# 'import/mixed5b_1x1_w' type=Const>,
# 'import/mixed5b_1x1_b' type=Const>,
# 'import/mixed5b_3x3_bottleneck_w' type=Const>,
# 'import/mixed5b_3x3_bottleneck_b' type=Const>,
# 'import/mixed5b_3x3_w' type=Const>,
# 'import/mixed5b_3x3_b' type=Const>,
# 'import/mixed5b_5x5_bottleneck_w' type=Const>,
# 'import/mixed5b_5x5_bottleneck_b' type=Const>,
# 'import/mixed5b_5x5_w' type=Const>,
# 'import/mixed5b_5x5_b' type=Const>,
# 'import/mixed5b_pool_reduce_w' type=Const>,
# 'import/mixed5b_pool_reduce_b' type=Const>,
# 'import/head0_bottleneck_w' type=Const>,
# 'import/head0_bottleneck_b' type=Const>,
# 'import/nn0_w' type=Const>,
# 'import/nn0_b' type=Const>,
# 'import/softmax0_w' type=Const>,
# 'import/softmax0_b' type=Const>,
# 'import/head1_bottleneck_w' type=Const>,
# 'import/head1_bottleneck_b' type=Const>,
# 'import/nn1_w' type=Const>,
# 'import/nn1_b' type=Const>,
# 'import/softmax1_w' type=Const>,
# 'import/softmax1_b' type=Const>,
# 'import/softmax2_w' type=Const>,
# 'import/softmax2_b' type=Const>,
# 'import/conv2d0_pre_relu/conv' type=Conv2D>,
# 'import/conv2d0_pre_relu' type=BiasAdd>,
# 'import/conv2d0' type=Relu>,
# 'import/maxpool0' type=MaxPool>,
# 'import/localresponsenorm0' type=LRN>,
# 'import/conv2d1_pre_relu/conv' type=Conv2D>,
# 'import/conv2d1_pre_relu' type=BiasAdd>,
# 'import/conv2d1' type=Relu>,
# 'import/conv2d2_pre_relu/conv' type=Conv2D>,
# 'import/conv2d2_pre_relu' type=BiasAdd>,
# 'import/conv2d2' type=Relu>,
# 'import/localresponsenorm1' type=LRN>,
# 'import/maxpool1' type=MaxPool>,
# 'import/mixed3a_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed3a_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed3a_1x1' type=Relu>,
# 'import/mixed3a_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed3a_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed3a_3x3_bottleneck' type=Relu>,
# 'import/mixed3a_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed3a_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed3a_3x3' type=Relu>,
# 'import/mixed3a_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed3a_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed3a_5x5_bottleneck' type=Relu>,
# 'import/mixed3a_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed3a_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed3a_5x5' type=Relu>,
# 'import/mixed3a_pool' type=MaxPool>,
# 'import/mixed3a_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed3a_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed3a_pool_reduce' type=Relu>,
# 'import/mixed3a/concat_dim' type=Const>,
# 'import/mixed3a' type=Concat>,
# 'import/mixed3b_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed3b_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed3b_1x1' type=Relu>,
# 'import/mixed3b_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed3b_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed3b_3x3_bottleneck' type=Relu>,
# 'import/mixed3b_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed3b_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed3b_3x3' type=Relu>,
# 'import/mixed3b_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed3b_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed3b_5x5_bottleneck' type=Relu>,
# 'import/mixed3b_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed3b_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed3b_5x5' type=Relu>,
# 'import/mixed3b_pool' type=MaxPool>,
# 'import/mixed3b_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed3b_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed3b_pool_reduce' type=Relu>,
# 'import/mixed3b/concat_dim' type=Const>,
# 'import/mixed3b' type=Concat>,
# 'import/maxpool4' type=MaxPool>,
# 'import/mixed4a_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed4a_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed4a_1x1' type=Relu>,
# 'import/mixed4a_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4a_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4a_3x3_bottleneck' type=Relu>,
# 'import/mixed4a_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed4a_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed4a_3x3' type=Relu>,
# 'import/mixed4a_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4a_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4a_5x5_bottleneck' type=Relu>,
# 'import/mixed4a_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed4a_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed4a_5x5' type=Relu>,
# 'import/mixed4a_pool' type=MaxPool>,
# 'import/mixed4a_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed4a_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed4a_pool_reduce' type=Relu>,
# 'import/mixed4a/concat_dim' type=Const>,
# 'import/mixed4a' type=Concat>,
# 'import/mixed4b_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed4b_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed4b_1x1' type=Relu>,
# 'import/mixed4b_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4b_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4b_3x3_bottleneck' type=Relu>,
# 'import/mixed4b_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed4b_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed4b_3x3' type=Relu>,
# 'import/mixed4b_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4b_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4b_5x5_bottleneck' type=Relu>,
# 'import/mixed4b_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed4b_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed4b_5x5' type=Relu>,
# 'import/mixed4b_pool' type=MaxPool>,
# 'import/mixed4b_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed4b_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed4b_pool_reduce' type=Relu>,
# 'import/mixed4b/concat_dim' type=Const>,
# 'import/mixed4b' type=Concat>,
# 'import/mixed4c_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed4c_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed4c_1x1' type=Relu>,
# 'import/mixed4c_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4c_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4c_3x3_bottleneck' type=Relu>,
# 'import/mixed4c_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed4c_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed4c_3x3' type=Relu>,
# 'import/mixed4c_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4c_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4c_5x5_bottleneck' type=Relu>,
# 'import/mixed4c_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed4c_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed4c_5x5' type=Relu>,
# 'import/mixed4c_pool' type=MaxPool>,
# 'import/mixed4c_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed4c_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed4c_pool_reduce' type=Relu>,
# 'import/mixed4c/concat_dim' type=Const>,
# 'import/mixed4c' type=Concat>,
# 'import/mixed4d_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed4d_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed4d_1x1' type=Relu>,
# 'import/mixed4d_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4d_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4d_3x3_bottleneck' type=Relu>,
# 'import/mixed4d_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed4d_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed4d_3x3' type=Relu>,
# 'import/mixed4d_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4d_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4d_5x5_bottleneck' type=Relu>,
# 'import/mixed4d_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed4d_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed4d_5x5' type=Relu>,
# 'import/mixed4d_pool' type=MaxPool>,
# 'import/mixed4d_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed4d_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed4d_pool_reduce' type=Relu>,
# 'import/mixed4d/concat_dim' type=Const>,
# 'import/mixed4d' type=Concat>,
# 'import/mixed4e_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed4e_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed4e_1x1' type=Relu>,
# 'import/mixed4e_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4e_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4e_3x3_bottleneck' type=Relu>,
# 'import/mixed4e_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed4e_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed4e_3x3' type=Relu>,
# 'import/mixed4e_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed4e_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed4e_5x5_bottleneck' type=Relu>,
# 'import/mixed4e_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed4e_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed4e_5x5' type=Relu>,
# 'import/mixed4e_pool' type=MaxPool>,
# 'import/mixed4e_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/2' type=BiasAdd>,
# 'import/mixed4e_pool_reduce' type=Relu>,
# 'import/mixed4e/concat_dim' type=Const>,
# 'import/mixed4e' type=Concat>,
# 'import/maxpool10' type=MaxPool>,
# 'import/mixed5a_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed5a_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed5a_1x1' type=Relu>,
# 'import/mixed5a_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed5a_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed5a_3x3_bottleneck' type=Relu>,
# 'import/mixed5a_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed5a_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed5a_3x3' type=Relu>,
# 'import/mixed5a_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed5a_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed5a_5x5_bottleneck' type=Relu>,
# 'import/mixed5a_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed5a_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed5a_5x5' type=Relu>,
# 'import/mixed5a_pool' type=MaxPool>,
# 'import/mixed5a_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed5a_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed5a_pool_reduce' type=Relu>,
# 'import/mixed5a/concat_dim' type=Const>,
# 'import/mixed5a' type=Concat>,
# 'import/mixed5b_1x1_pre_relu/conv' type=Conv2D>,
# 'import/mixed5b_1x1_pre_relu' type=BiasAdd>,
# 'import/mixed5b_1x1' type=Relu>,
# 'import/mixed5b_3x3_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed5b_3x3_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed5b_3x3_bottleneck' type=Relu>,
# 'import/mixed5b_3x3_pre_relu/conv' type=Conv2D>,
# 'import/mixed5b_3x3_pre_relu' type=BiasAdd>,
# 'import/mixed5b_3x3' type=Relu>,
# 'import/mixed5b_5x5_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/mixed5b_5x5_bottleneck_pre_relu' type=BiasAdd>,
# 'import/mixed5b_5x5_bottleneck' type=Relu>,
# 'import/mixed5b_5x5_pre_relu/conv' type=Conv2D>,
# 'import/mixed5b_5x5_pre_relu' type=BiasAdd>,
# 'import/mixed5b_5x5' type=Relu>,
# 'import/mixed5b_pool' type=MaxPool>,
# 'import/mixed5b_pool_reduce_pre_relu/conv' type=Conv2D>,
# 'import/mixed5b_pool_reduce_pre_relu' type=BiasAdd>,
# 'import/mixed5b_pool_reduce' type=Relu>,
# 'import/mixed5b/concat_dim' type=Const>,
# 'import/mixed5b' type=Concat>,
# 'import/avgpool0' type=AvgPool>,
# 'import/head0_pool' type=AvgPool>,
# 'import/head0_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/head0_bottleneck_pre_relu' type=BiasAdd>,
# 'import/head0_bottleneck' type=Relu>,
# 'import/head0_bottleneck/reshape/shape' type=Const>,
# 'import/head0_bottleneck/reshape' type=Reshape>,
# 'import/nn0_pre_relu/matmul' type=MatMul>,
# 'import/nn0_pre_relu' type=BiasAdd>,
# 'import/nn0' type=Relu>,
# 'import/nn0/reshape/shape' type=Const>,
# 'import/nn0/reshape' type=Reshape>,
# 'import/softmax0_pre_activation/matmul' type=MatMul>,
# 'import/softmax0_pre_activation' type=BiasAdd>,
# 'import/softmax0' type=Softmax>,
# 'import/head1_pool' type=AvgPool>,
# 'import/head1_bottleneck_pre_relu/conv' type=Conv2D>,
# 'import/head1_bottleneck_pre_relu' type=BiasAdd>,
# 'import/head1_bottleneck' type=Relu>,
# 'import/head1_bottleneck/reshape/shape' type=Const>,
# 'import/head1_bottleneck/reshape' type=Reshape>,
# 'import/nn1_pre_relu/matmul' type=MatMul>,
# 'import/nn1_pre_relu' type=BiasAdd>,
# 'import/nn1' type=Relu>,
# 'import/nn1/reshape/shape' type=Const>,
# 'import/nn1/reshape' type=Reshape>,
# 'import/softmax1_pre_activation/matmul' type=MatMul>,
# 'import/softmax1_pre_activation' type=BiasAdd>,
# 'import/softmax1' type=Softmax>,
# 'import/avgpool0/reshape/shape' type=Const>,
# 'import/avgpool0/reshape' type=Reshape>,
# 'import/softmax2_pre_activation/matmul' type=MatMul>,
# 'import/softmax2_pre_activation' type=BiasAdd>,
# 'import/softmax2' type=Softmax>,
# 'import/output' type=Identity>, <tf.Operation 'import/output1' type=Identity>, <tf.Operation 'import/output2' type=Identity>]

I'd like to add support for other models, but I am running into input related errors. How was the info related to the inception5h obtained?

Ubuntu Setup Error

ubuntu@ip-Address:~/dreamcanvas$ make clean && make
rm -f protocol/service.js
rm -f protocol/service.d.ts
npm install
npm WARN deprecated @types/[email protected]: This is a stub types definition for Moment (https://github.com/moment/moment). Moment provides its own type definitions, so you don't need @types/moment installed!
npm WARN prefer global [email protected] should be installed with -g
npm WARN prefer global [email protected] should be installed with -g
npm WARN prefer global [email protected] should be installed with -g

> [email protected] install /home/ubuntu/dreamcanvas/node_modules/bufferutil
> node-gyp rebuild

/bin/sh: 1: node: not found
gyp: Call to 'node -e "require('nan')"' returned exit status 127 while in binding.gyp. while trying to load binding.gyp
gyp ERR! configure error
gyp ERR! stack Error: `gyp` failed with exit code: 1
gyp ERR! stack     at ChildProcess.onCpExit (/usr/share/node-gyp/lib/configure.js:354:16)
gyp ERR! stack     at emitTwo (events.js:87:13)
gyp ERR! stack     at ChildProcess.emit (events.js:172:7)
gyp ERR! stack     at Process.ChildProcess._handle.onexit (internal/child_process.js:200:12)
gyp ERR! System Linux 4.4.0-38-generic
gyp ERR! command "/usr/bin/nodejs" "/usr/bin/node-gyp" "rebuild"
gyp ERR! cwd /home/ubuntu/dreamcanvas/node_modules/bufferutil
gyp ERR! node -v v4.2.6
gyp ERR! node-gyp -v v3.0.3
gyp ERR! not ok
npm WARN install:[email protected] [email protected] install: `node-gyp rebuild`
npm WARN install:[email protected] Exit status 1

> [email protected] install /home/ubuntu/dreamcanvas/node_modules/utf-8-validate
> node-gyp rebuild

/bin/sh: 1: node: not found
gyp: Call to 'node -e "require('nan')"' returned exit status 127 while in binding.gyp. while trying to load binding.gyp
gyp ERR! configure error
gyp ERR! stack Error: `gyp` failed with exit code: 1
gyp ERR! stack     at ChildProcess.onCpExit (/usr/share/node-gyp/lib/configure.js:354:16)
gyp ERR! stack     at emitTwo (events.js:87:13)
gyp ERR! stack     at ChildProcess.emit (events.js:172:7)
gyp ERR! stack     at Process.ChildProcess._handle.onexit (internal/child_process.js:200:12)
gyp ERR! System Linux 4.4.0-38-generic
gyp ERR! command "/usr/bin/nodejs" "/usr/bin/node-gyp" "rebuild"
gyp ERR! cwd /home/ubuntu/dreamcanvas/node_modules/utf-8-validate
gyp ERR! node -v v4.2.6
gyp ERR! node-gyp -v v3.0.3
gyp ERR! not ok
npm WARN install:[email protected] [email protected] install: `node-gyp rebuild`
npm WARN install:[email protected] Exit status 1

> [email protected] install /home/ubuntu/dreamcanvas/node_modules/uws
> node-gyp rebuild > build_log.txt 2>&1 || exit 0


> [email protected] install /home/ubuntu/dreamcanvas/node_modules/canvas
> node-gyp rebuild

/bin/sh: 1: node: not found
gyp: Call to 'node ./util/has_lib.js jpeg' returned exit status 127 while in binding.gyp. while trying to load binding.gyp
gyp ERR! configure error
gyp ERR! stack Error: `gyp` failed with exit code: 1
gyp ERR! stack     at ChildProcess.onCpExit (/usr/share/node-gyp/lib/configure.js:354:16)
gyp ERR! stack     at emitTwo (events.js:87:13)
gyp ERR! stack     at ChildProcess.emit (events.js:172:7)
gyp ERR! stack     at Process.ChildProcess._handle.onexit (internal/child_process.js:200:12)
gyp ERR! System Linux 4.4.0-38-generic
gyp ERR! command "/usr/bin/nodejs" "/usr/bin/node-gyp" "rebuild"
gyp ERR! cwd /home/ubuntu/dreamcanvas/node_modules/canvas
gyp ERR! node -v v4.2.6
gyp ERR! node-gyp -v v3.0.3
gyp ERR! not ok
dreamcanvas@ /home/ubuntu/dreamcanvas
+-- @types/[email protected]
+-- @types/[email protected]
+-- @types/[email protected]
¦ +-- @types/[email protected]
+-- @types/[email protected]
+-- [email protected]
+-- [email protected]
+-- [email protected]
+-- [email protected]
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+-- [email protected]
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+-- [email protected]
+-- [email protected]
+-- [email protected]
+-- [email protected]  (git://github.com/dcodeio/protobuf.js.git#3a959453fe63706c38ebbacda208e1f25f27dc99)
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @protobufjs/[email protected]
¦ +-- @types/[email protected]
¦ +-- @types/[email protected]
¦ +-- [email protected]
+-- [email protected]
¦ +-- [email protected]
¦ +-- [email protected]
¦ +-- [email protected]
¦ ¦ +-- [email protected]
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    +-- [email protected]

npm WARN optional Skipping failed optional dependency /chokidar/fsevents:
npm WARN notsup Not compatible with your operating system or architecture: [email protected]
npm ERR! Linux 4.4.0-38-generic
npm ERR! argv "/usr/bin/nodejs" "/usr/bin/npm" "install"
npm ERR! node v4.2.6
npm ERR! npm  v3.5.2
npm ERR! code ELIFECYCLE

npm ERR! [email protected] install: `node-gyp rebuild`
npm ERR! Exit status 1
npm ERR!
npm ERR! Failed at the [email protected] install script 'node-gyp rebuild'.
npm ERR! Make sure you have the latest version of node.js and npm installed.
npm ERR! If you do, this is most likely a problem with the canvas package,
npm ERR! not with npm itself.
npm ERR! Tell the author that this fails on your system:
npm ERR!     node-gyp rebuild
npm ERR! You can get information on how to open an issue for this project with:
npm ERR!     npm bugs canvas
npm ERR! Or if that isn't available, you can get their info via:
npm ERR!     npm owner ls canvas
npm ERR! There is likely additional logging output above.

npm ERR! Please include the following file with any support request:
npm ERR!     /home/ubuntu/dreamcanvas/npm-debug.log
Makefile:29: recipe for target 'node_modules' failed
make: *** [node_modules] Error 1
ubuntu@ip-Address:~/dreamcanvas$

Not sure why this didn't work?

Standalone Python code that supports the inception5h.pb model?

The model used in this project creates some really nice looking hallucinations (not sure how much of a role the tiling plays in this), like the "houses and plants" layer.

Is it possible to make a standalone Python version of this code that skips all the real time changes and Java stuff in favor of easier to use standalone Python scripts? Or do you know any tiled DeepDream code that will support the inception5h.pb model? It would be nice to simply plug in the desired input image, and output image size, along with the target layer, and then have your settings/tiling/parameters do the rest.