merito

Create a service

$ curl -X PUT "http://localhost:8080/services/myimages" -d "{\"mllib\":\"caffe\",\"description\":\"image classification service\",\"type\":\"supervised\",\"parameters\":{\"input\":{\"connector\":\"image\",\"width\":224,\"height\":224},\"mllib\":{\"template\":\"googlenet\",\"nclasses\":11}},\"model\":{\"templates\":\"../templates/caffe/\",\"repository\":\"../../models/myimages\"}}"
{"status":{"code":201,"msg":"Created"}}

Start a training

$ curl -X POST "http://localhost:8080/train" -d "{\"service\":\"myimages\",\"async\":true,\"parameters\":{\"mllib\":{\"gpu\":true,\"resume\":true,\"net\":{\"batch_size\":32},\"solver\":{\"test_interval\":500,\"iterations\":30000,\"base_lr\":0.001,\"stepsize\":1000,\"gamma\":0.9}},\"input\":{\"connector\":\"image\",\"test_split\":0.1,\"shuffle\":true,\"width\":224,\"height\":224},\"output\":{\"measure\":[\"acc\",\"mcll\",\"f1\"]}},\"data\":[\"../../models/imagenet_downloader\"]}"
{"status":{"code":201,"msg":"Created"},"head":{"method":"/train","job":1,"statu

merito

$ ./dede 
DeepDetect [ commit f32a621c7cf0be9eaab4d798ee57a12dbe20b4f4 ]
Running DeepDetect HTTP server on localhost:8080
instantiating model template googlenet

INFO - source=../../templates/caffe/googlenet/

INFO - dest=../../models/buildings/imgnet/googlenet.prototxt

INFO - Initializing net from parameters: