{ "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"] } ] }, "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 } }