netron/publish/electron-builder.json

{
    "appId": "com.lutzroeder.netron",
    "productName": "Netron",
    "files": [ "source/**/*" ],
    "directories": { "buildResources": "./publish" },
    "fileAssociations": [
        { "ext": "armnn",       "name": "Arm NN Model"             },
        { "ext": "caffemodel",  "name": "Caffe Model"              },
        { "ext": "circle",      "name": "Circle Model"             },
        { "ext": "ckpt",        "name": "Model Checkpoint"         },
        { "ext": "cmf",         "name": "CNTK Model"               },
        { "ext": "dlc",         "name": "DLC Model"                },
        { "ext": "dnn",         "name": "CNTK Model"               },
        { "ext": "gguf",        "name": "GGUF Model"               },
        { "ext": "h5",          "name": "Keras Model"              },
        { "ext": "hd5",         "name": "Keras Model"              },
        { "ext": "hdf5",        "name": "Keras Model"              },
        { "ext": "hn",          "name": "Hailo Model"              },
        { "ext": "kann",        "name": "KaNN Model"               },
        { "ext": "kgraph",      "name": "KaNN Model"               },
        { "ext": "keras",       "name": "Keras Model"              },
        { "ext": "kmodel",      "name": "Kendryte Model"           },
        { "ext": "lite",        "name": "TensorFlow Lite Model"    },
        { "ext": "mar",         "name": "MXNet Model"              },
        { "ext": "maxviz",      "name": "Modular Model"            },
        { "ext": "meta",        "name": "TensorFlow Meta Graph"    },
        { "ext": "mge",         "name": "MegEngine Mge Model"      },
        { "ext": "mlmodel",     "name": "Core ML Model"            },
        { "ext": "mlir",        "name": "MLIR Model"               },
        { "ext": "mlirbc",      "name": "MLIR Bytecode Model"      },
        { "ext": "mlnet",       "name": "ML.NET Model"             },
        { "ext": "mlpackage",   "name": "Core ML Model Package", "isPackage": true },
        { "ext": "mnn",         "name": "MNN Model"                },
        { "ext": "model",       "name": "Model"                    },
        { "ext": "nb",          "name": "Paddle Lite Model"        },
        { "ext": "ngf",         "name": "ONNX Model"               },
        { "ext": "nn",          "name": "Barracuda Model"          },
        { "ext": "nnp",         "name": "Neural Network Libraries" },
        { "ext": "npy",         "name": "NumPy Array"              },
        { "ext": "npz",         "name": "NumPy Archive"            },
        { "ext": "om",          "name": "DaVinci OM Model"         },
        { "ext": "onnx",        "name": "ONNX Model"               },
        { "ext": "ort",         "name": "ONNX Runtime Model"       },
        { "ext": "paddle",      "name": "PaddlePaddle Model"       },
        { "ext": "param",       "name": "NCNN Model"               },
        { "ext": "pb",          "name": "Protocol Buffer"          },
        { "ext": "pbtxt",       "name": "Text Protocol Buffer"     },
        { "ext": "pdiparams",   "name": "PaddlePaddle Model"       },
        { "ext": "pdmodel",     "name": "PaddlePaddle Model"       },
        { "ext": "pdopt",       "name": "PaddlePaddle Model"       },
        { "ext": "pdparams",    "name": "PaddlePaddle Model"       },
        { "ext": "pickle",      "name": "Python Pickle File"       },
        { "ext": "pkl",         "name": "Python Pickle File"       },
        { "ext": "prototxt",    "name": "Text Protocol Buffer"     },
        { "ext": "pt",          "name": "PyTorch Model"            },
        { "ext": "pt2",         "name": "PyTorch Model"            },
        { "ext": "pte",         "name": "ExecuTorch Model"         },
        { "ext": "pth",         "name": "PyTorch Model"            },
        { "ext": "ptl",         "name": "PyTorch Model"            },
        { "ext": "rknn",        "name": "RKNN Model"               },
        { "ext": "safetensors", "name": "Safetensors Checkpoint"   },
        { "ext": "t7",          "name": "Torch Model"              },
        { "ext": "tfl",         "name": "TensorFlow Lite Model"    },
        { "ext": "tflite",      "name": "TensorFlow Lite Model"    },
        { "ext": "tmfile",      "name": "Tengine Model"            },
        { "ext": "tm",          "name": "MegEngine Traced Model"   },
        { "ext": "tnnproto",    "name": "TNN Model"                },
        { "ext": "torchscript", "name": "PyTorch Model"            },
        { "ext": "uff",         "name": "UFF Model"                },
        { "ext": "xmodel",      "name": "Vitis AI Model"           }
    ],
    "publish": [
        { "provider": "github", "releaseType": "release" }
    ],
    "linux": {
        "artifactName":"${productName}-${version}-${arch}.${ext}",
        "executableName": "netron",
        "target": [ 
            { "target": "deb", "arch": ["x64"] },
            { "target": "rpm", "arch": ["x64"] },
            { "target": "AppImage", "arch": ["x64"] }
        ]
    },
    "mac": {
        "artifactName": "${productName}-${version}-mac.${ext}",
        "category": "public.app-category.developer-tools",
        "darkModeSupport": true,
        "gatekeeperAssess": false,
        "hardenedRuntime": true,
        "notarize": true,
        "target": [ "dmg", "zip" ]
    },
    "win": {
        "target": [ "nsis" ],
        "azureSignOptions" : {
            "publisherName": "Lutz Roeder",
            "endpoint": "https://eus.codesigning.azure.net/",
            "codeSigningAccountName": "lutzroeder",
            "certificateProfileName": "lutzroeder"
        }
    },
    "dmg": {
        "artifactName": "${productName}-${version}.${ext}",
        "title": "${productName} ${version}",
        "writeUpdateInfo": false,
        "iconSize": 160,
        "contents": [
            { "x": 180, "y": 170 },
            { "x": 480, "y": 170, "type": "link", "path": "/Applications" }
        ]
    },
    "nsis": {
        "differentialPackage": false
    },
    "snap": {
        "plugs": [ "default", "removable-media" ],
        "publish": { "provider": "snapStore", "channels": "stable" }
    }
}