covidnet.json

{
    "type": "ds",
    "parameters": [
        {
            "name": "metaname",
            "type": "str",
            "optional": true,
            "flag": "--metaname",
            "short_flag": "--metaname",
            "action": "store",
            "help": "Name of ckpt meta file",
            "default": "model.meta",
            "ui_exposed": true
        },
        {
            "name": "imagefile",
            "type": "str",
            "optional": false,
            "flag": "--imagefile",
            "short_flag": "--imagefile",
            "action": "store",
            "help": "Name of image file to infer from",
            "default": null,
            "ui_exposed": true
        },
        {
            "name": "in_tensorname",
            "type": "str",
            "optional": true,
            "flag": "--in_tensorname",
            "short_flag": "--in_tensorname",
            "action": "store",
            "help": "Name of input tensor to graph",
            "default": "input_1:0",
            "ui_exposed": true
        },
        {
            "name": "out_tensorname",
            "type": "str",
            "optional": true,
            "flag": "--out_tensorname",
            "short_flag": "--out_tensorname",
            "action": "store",
            "help": "Name of output tensor from graph",
            "default": "norm_dense_1/Softmax:0",
            "ui_exposed": true
        },
        {
            "name": "input_size",
            "type": "int",
            "optional": true,
            "flag": "--input_size",
            "short_flag": "--input_size",
            "action": "store",
            "help": "Size of input (ex: if 480x480, --input_size 480)",
            "default": 480,
            "ui_exposed": true
        },
        {
            "name": "top_percent",
            "type": "float",
            "optional": true,
            "flag": "--top_percent",
            "short_flag": "--top_percent",
            "action": "store",
            "help": "Percent top crop from top of image",
            "default": 0.08,
            "ui_exposed": true
        }
    ],
    "icon": "",
    "authors": "Jeffer Peng <jeffer.peng@darwinai.ca>",
    "title": "COVID-Net inference for chest x-ray",
    "category": "",
    "description": "Plugin to ChRIS for covidnet functionalities",
    "documentation": "https://github.com/FNNDSC/pl-covidnet#pl-covidnet",
    "license": "AGPL",
    "version": "0.2.0",
    "selfpath": "/usr/local/bin",
    "selfexec": "covidnet",
    "execshell": "/usr/bin/python3",
    "max_number_of_workers": 1,
    "min_number_of_workers": 1,
    "max_memory_limit": "",
    "min_memory_limit": "",
    "max_cpu_limit": "",
    "min_cpu_limit": "",
    "max_gpu_limit": 0,
    "min_gpu_limit": 0
}