one using cpus and one using gpus with nvidia-docker.
I added some extra json fields to be able to set extra parameters:
{
"name": "Min. Object Size",
"type": "uint16_t",
"iotype": "parameter",
"param_name": "size",
"default": 100
},
{
"name": "Max line fit error",
"type": "float",
"iotype": "parameter",
"param_name": "error",
"default": 2.0
}
the param_name field are used as arguments for the fit.py function
one using cpus and one using gpus with nvidia-docker. I added some extra json fields to be able to set extra parameters: { "name": "Min. Object Size", "type": "uint16_t", "iotype": "parameter", "param_name": "size", "default": 100 }, { "name": "Max line fit error", "type": "float", "iotype": "parameter", "param_name": "error", "default": 2.0 }
the param_name field are used as arguments for the fit.py function