gistfile1.py

from dd_client import DD
dd = DD('localhost')
dd.set_return_format(dd.RETURN_PYTHON)
description = 'image classification service'
mllib = 'caffe'
model = {'repository':'/home/ubuntu/deepdetect/models/1609152_resnet50'}
parameters_input = {'connector':'image', 'width':224,'height':224}
parameters_mllib = {'weights':'model_iter_200.caffemodel','nclasses':2}
parameters_output = {}
dd.put_service('imageserv',model,description,mllib,
               parameters_input,parameters_mllib,parameters_output)
data = ['1.png', '2.png', '3.png']
parameters_mllib = {'gpu':True}
parameters_output = {'best':2}
dd.post_predict('imageserv',data,parameters_input,parameters_mllib,parameters_output)