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Unified JavaScript API for scoring via various DL framework
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Bagua is an ancient Chinese technique that can predict the future via looking back of the past, combined with many environmental arguments. This project is a JS framework with handy API for client side scoring/reference built on top of several existing DL/ML framework
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# Install devtools
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```shell
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npm -g install node-gyp
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```
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# bagua-caffe
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Caffe Backend
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## How to build bagua-caffe
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Build the code. Please follow [Caffe instruction](http://caffe.berkeleyvision.org/installation.html) to install all necessary packages and build it.
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```shell
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# Modify Makefile.config according to your Caffe installation.
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make -j8
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# Build Node.js Addons
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node-gyp configure build
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```
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## Demo
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Here we provided a SSD demo for object detection.
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1. Download [SSD300*](http://www.cs.unc.edu/~wliu/projects/SSD/models_VGGNet_VOC0712_SSD_300x300.tar.gz), and only extract the **caffemodel** file into model-zoo/caffe/VOC0712/SSD_300x300.
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