netron/test/models.json

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    "type":     "_",
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    "target":   "coreml_invalid_file.mlmodel",
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    "format":   "Core ML v1",
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  {
    "type":     "_",
    "target":   "empty.zip",
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    "type":     "_",
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    "error":    "Invalid file content. File contains ImageNet LabelMap data."
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    "type":     "_",
    "target":   "keras2onnx.onnx",
    "source":   "https://github.com/lutzroeder/netron/files/5738366/keras2onnx.onnx.zip[keras2onnx.onnx]",
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    "target":   "knift_index.pb",
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    "source":   "https://github.com/lutzroeder/netron/files/6308301/knift_index.pb.zip[knift_index.pb]"
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    "type":     "_",
    "target":   "labelmap.pbtxt",
    "source":   "https://github.com/lutzroeder/netron/files/5398649/labelmap.zip[labelmap.pbtxt]",
    "error":    "Invalid file content. File contains StringIntLabelMapProto data.",
    "link":     "https://github.com/lutzroeder/netron/issues/458"
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    "type":     "_",
    "target":   "gzip_invalid_archive.tar.gz",
    "source":   "https://github.com/lutzroeder/netron/files/5468427/gzip_invalid_archive.tar.gz",
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    "link":     "https://github.com/lutzroeder/netron/issues/249"
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    "target":   "gzip_invalid_compression.tar.gz",
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    "type":     "_",
    "target":   "invalid.tflite",
    "source":   "https://github.com/user-attachments/files/16322406/invalid.tflite.zip[invalid.tflite]",
    "error":    "Invalid file content. File contains TensorFlow Lite model data.",
    "link":     "https://github.com/lutzroeder/netron/issues/458"
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    "type":     "_",
    "target":   "invalid_git_lfs.mlmodel",
    "source":   "https://github.com/lutzroeder/netron/files/4432767/invalid_git_lfs.mlmodel.zip[invalid_git_lfs.mlmodel]",
    "error":    "Invalid file content. File contains Git LFS header.",
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    "type":     "_",
    "target":   "invalid_html.mlmodel.zip",
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    "type":     "_",
    "target":   "invalid_html.tflite",
    "source":   "https://github.com/lutzroeder/netron/files/4432789/invalid_html.tflite.zip[invalid_html.tflite]",
    "error":    "Invalid file content. File contains HTML markup.",
    "link":     "https://github.com/lutzroeder/netron/issues/458"
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    "target":   "onnx-metadata.json",
    "source":   "https://raw.githubusercontent.com/lutzroeder/netron/main/source/onnx-metadata.json",
    "error":    "Invalid file content. File contains Netron metadata.",
    "link":     "https://github.com/lutzroeder/netron/blob/main/source/onnx-metadata.json"
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    "target":   "ops.pbtxt",
    "source":   "https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/core/ops/ops.pbtxt",
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    "target":   "preloaded_data.pb",
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    "type":     "_",
    "target":   "python-import.pt",
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    "type":     "_",
    "target":   "python-from-import.pt",
    "source":   "https://github.com/lutzroeder/netron/files/12139922/python-from-import.pt.zip[python-from-import.pt]",
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    "type":     "_",
    "target":   "pytorch_invalid_file.pth",
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    "link":     "https://github.com/lutzroeder/netron/issues/720"
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    "type":     "_",
    "target":   "random.onnx",
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    "link":     "https://github.com/lutzroeder/netron/issues/458"
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    "type":     "_",
    "target":   "sm_uint8_fence.nnc",
    "source":   "https://github.com/lutzroeder/netron/files/12446059/sm_uint8_fence.nnc.zip[sm_uint8_fence.nnc]",
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    "type":     "_",
    "target":   "SR_face_x3_530x530.cambricon",
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    "type":     "_",
    "target":   "tokenizer.model",
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    "target":   "vk_swiftshader_icd.json",
    "source":   "https://github.com/lutzroeder/netron/files/5398770/vk_swiftshader_icd.json.zip[vk_swiftshader_icd.json]",
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    "type":     "_",
    "target":   "yolo-1c.meta",
    "source":   "https://github.com/lutzroeder/netron/files/5398632/yolo-1c.meta.zip[yolo-1c.meta]",
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    "link":     "https://github.com/lutzroeder/netron/issues/458"
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    "target":   "zip_invalid_archive.zip",
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    "target":   "simple_network.armnn",
    "source":   "https://github.com/lutzroeder/netron/files/4951689/simple_network.zip[simple_network.armnn]",
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    "link":     "https://github.com/lutzroeder/netron/issues/515"
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    "type":     "armnn",
    "target":   "ssd_mobilenet_v3_small_coco_2019_08_14_q8.json",
    "source":   "https://github.com/lutzroeder/netron/files/4945145/ssd_mobilenet_v3_small_coco_2019_08_14_q8.zip[ssd_mobilenet_v3_small_coco_2019_08_14_q8.json]",
    "format":   "Arm NN",
    "tags":     "quantization",
    "link":     "https://github.com/lutzroeder/netron/issues/515"
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    "type":     "armnn",
    "target":   "ssd_mobilenet_v3_small_coco_2019_08_14_q16.armnn",
    "source":   "https://github.com/lutzroeder/netron/files/3839429/samples.zip[ssd_mobilenet_v3_small_coco_2019_08_14_q16.armnn]",
    "format":   "Arm NN",
    "tags":     "quantization",
    "link":     "https://github.com/lutzroeder/netron/issues/515"
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    "link":     "https://github.com/reinforcement-learning-kr/rl_bootcamp"
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    "target":   "mobilenet_v2.nn",
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    "format":   "Barracuda v16",
    "link":     "https://github.com/Syn-McJ/TFClassify-Unity-Barracuda"
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    "target":   "analytics-zoo_squeezenet-quantize_imagenet_0.1.0.model",
    "source":   "https://github.com/lutzroeder/netron/files/5891323/analytics-zoo_squeezenet-quantize_imagenet_0.1.0.model.zip[analytics-zoo_squeezenet-quantize_imagenet_0.1.0.model]",
    "format":   "BigDL v0.5.0",
    "link":     "https://github.com/lutzroeder/netron/issues/355"
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    "target":   "1D_lstm.prototxt",
    "source":   "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/1D_lstm.prototxt",
    "format":   "Caffe v2",
    "link":     "https://github.com/cwlacewe/netscope"
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    "target":   "age_net.caffemodel",
    "source":   "https://raw.githubusercontent.com/eveningglow/age-and-gender-classification/master/model/age_net.caffemodel",
    "format":   "Caffe v1",
    "link":     "https://github.com/eveningglow/age-and-gender-classification"
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    "type":     "caffe",
    "target":   "alexnet.prototxt",
    "source":   "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/alexnet.prototxt",
    "format":   "Caffe v2",
    "link":     "https://github.com/cwlacewe/netscope"
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    "type":     "caffe",
    "target":   "AlexNet_SalObjSub_deploy.prototxt",
    "source":   "https://raw.githubusercontent.com/natanielruiz/net-archive/master/salient-object-alexnet/deploy.prototxt",
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    "link":     "https://github.com/natanielruiz/net-archive/tree/master/salient-object-alexnet"
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    "type":     "caffe",
    "target":   "autocolorize.prototxt",
    "source":   "https://github.com/lutzroeder/netron/files/4923194/autocolorize.zip[autocolorize.prototxt]",
    "format":   "Caffe v2",
    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "target":   "bvlc_alexnet.caffemodel.zip",
    "source":   "https://github.com/lutzroeder/netron/files/11932662/bvlc_alexnet.caffemodel.zip",
    "format":   "Caffe v1",
    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "link":     "https://github.com/BVLC/caffe/tree/master/examples/net_surgery"
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    "type":     "caffe",
    "target":   "bvlc_alexnet_deploy.prototxt",
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    "format":   "Caffe v2",
    "link":     "https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet"
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    "type":     "caffe",
    "target":   "caffe_array.prototxt",
    "source":   "https://github.com/lutzroeder/netron/files/3288816/caffe_examples.zip[caffe_array.prototxt]",
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    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "type":     "caffe",
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    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "target":   "caffe_invalid_semicolon.prototxt",
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    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "target":   "caffe_semicolon.prototxt",
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    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "link":     "https://github.com/lutzroeder/netron/issues/276"
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    "format":   "Caffe v2",
    "link":     "https://github.com/cwlacewe/netscope"
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    "type":     "caffe",
    "target":   "fasterRCNN_ResNet.prototxt",
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    "target":   "fasterRCNN_ZynqNet.prototxt",
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    "format":   "Caffe v2",
    "link":     "https://github.com/cwlacewe/netscope"
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    "format":   "Caffe v1",
    "link":     "https://github.com/cwlacewe/netscope"
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    "format":   "MNN v2",
    "link":     "https://github.com/alibaba/MNN"
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    "link":     "https://github.com/alibaba/MNN"
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    "format":   "MNN v2",
    "link":     "https://github.com/alibaba/MNN"
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    "error":    "Invalid tensor data length.",
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    "error":    "MSL0 format is deprecated.",
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    "type":     "mslite",
    "target":   "control_flow_ut_while_0122.ms",
    "source":   "https://github.com/lutzroeder/netron/files/6097971/control_flow_ut_while_0122.ms.zip[control_flow_ut_while_0122.ms]",
    "error":    "MSL1 format is deprecated.",
    "link":     "https://github.com/lutzroeder/netron/issues/600"
  },
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    "target":   "mnist",
    "source":   "https://github.com/lutzroeder/netron/files/6128484/mnist.ms.zip[mnist.ms]",
    "tags":     "quantization",
    "format":   "MindSpore Lite v1.2.0",
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    "format":   "MindSpore Lite v1.2.0",
    "link":     "https://github.com/lutzroeder/netron/issues/600"
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    "format":   "MXNet v0.10.0",
    "link":     "https://github.com/lutzroeder/netron/issues/723"
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    "format":   "MXNet Model Archive v1.0",
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    "format":   "MXNet v1.3.0",
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    "format":   "MXNet",
    "link":     "https://github.com/dmlc/mxnet-gtc-tutorial/tree/master/deep3d"
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    "type":     "mxnet",
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    "format":   "MXNet",
    "link":     "https://github.com/rai-project/mxnet/blob/master/builtin_models/DPN68.yml"
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    "source":   "https://s3.amazonaws.com/model-server/models/FERPlus/ferplus.model",
    "format":   "MXNet Model Server v0.2",
    "link":     "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
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    "source":   "https://raw.githubusercontent.com/soeaver/mxnet-model/master/cls/inception/inception_resnet_v2-symbol.json",
    "format":   "MXNet v1.0.1",
    "link":     "https://github.com/soeaver/mxnet-model/tree/master/cls"
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    "type":     "mxnet",
    "target":   "inception_v1.model",
    "source":   "https://s3.amazonaws.com/model-server/models/onnx-inception_v1/inception_v1.model",
    "link":     "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
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    "target":   "inception_v3-symbol.json",
    "source":   "https://raw.githubusercontent.com/soeaver/mxnet-model/master/cls/inception/inception_v3-symbol.json",
    "format":   "MXNet v0.11.0",
    "link":     "https://github.com/soeaver/mxnet-model/tree/master/cls"
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    "type":     "mxnet",
    "target":   "Inception-7-symbol.json",
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    "format":   "MXNet",
    "link":     "https://github.com/bzshang/yelp-photo-classification/tree/master/mxnet_model/inception_v3"
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    "type":     "mxnet",
    "target":   "Inception-BN.model",
    "source":   "https://s3.amazonaws.com/model-server/models/inception-bn/Inception-BN.model"
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    "source":   "https://github.com/lutzroeder/netron/files/11931628/lstm_ptb.model.zip[lstm_ptb.model]",
    "format":   "MXNet Model Server v0.1",
    "link":     "https://github.com/lutzroeder/netron/issues/723"
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    "source":   "https://s3.amazonaws.com/model-server/models/lstm_ptb/lstm_ptb-symbol.json",
    "format":   "MXNet v0.11.0",
    "link":     "https://github.com/awslabs/mxnet-model-server/tree/master/examples/lstm_ptb"
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  {
    "type":     "mxnet",
    "target":   "nin.model",
    "source":   "https://s3.amazonaws.com/model-server/models/nin/nin.model",
    "format":   "MXNet Model Server v0.1",
    "link":     "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
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  {
    "type":     "mxnet",
    "target":   "resnet-18.model",
    "source":   "https://s3.amazonaws.com/model-server/models/resnet-18/resnet-18.model",
    "format":   "MXNet Model Server v0.1",
    "link":     "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
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    "type":     "mxnet",
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    "source":   "https://github.com/lutzroeder/netron/files/11931742/resnet-50-0000.params.zip",
    "format":   "MXNet",
    "link":     "https://github.com/lutzroeder/netron/issues/723"
  },
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    "target":   "resnext-101-64x4d.model",
    "source":   "https://github.com/lutzroeder/netron/files/6179250/resnext-101-64x4d.model.zip[resnext-101-64x4d.model]",
    "format":   "MXNet Model Server v0.1",
    "runtime":  "MXNet v0.12",
    "link":     "https://github.com/lutzroeder/netron/issues/286"
  },
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    "type":     "mxnet",
    "target":   "squeezenet_v1.1.model",
    "source":   "https://s3.amazonaws.com/model-server/models/squeezenet_v1.1/squeezenet_v1.1.model"
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    "type":     "mxnet",
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    "format":   "MXNet Model Archive v1.0",
    "link":     "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
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    "type":     "mxnet",
    "target":   "vgg16.mar",
    "source":   "https://github.com/lutzroeder/netron/files/6179223/vgg16.mar.zip[vgg16.mar]",
    "format":   "MXNet Model Archive v1.0",
    "link":     "https://github.com/lutzroeder/netron/issues/286"
  },
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    "source":   "https://github.com/lutzroeder/netron/files/14074806/0397.param.zip[0397.param]",
    "format":   "ncnn",
    "link":     "https://github.com/lutzroeder/netron/issues/397"
  },
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    "type":     "ncnn",
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    "format":   "ncnn",
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    "type":     "ncnn",
    "target":   "ch_recv4.ncnn.param,ch_recv4.ncnn.bin",
    "source":   "https://github.com/user-attachments/files/15937032/ch_recv4.ncnn.param.zip[ch_recv4.ncnn.param,ch_recv4.ncnn.bin]",
    "format":   "ncnn",
    "link":     "https://github.com/lutzroeder/netron/issues/296"
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    "source":   "https://github.com/user-attachments/files/15981002/darknet_yolov2.zip",
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    "link":     "https://github.com/lutzroeder/netron/issues/296"
  },
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    "target":   "darknet_yolov2.cfg.ncnn,darknet_yolov2.weights.ncnn",
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    "format":   "ncnn",
    "link":     "https://github.com/00liujj/gen-ncnn-models"
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  {
    "type":     "ncnn",
    "target":   "encoder_jit_trace-pnnx.ncnn.param,encoder_jit_trace-pnnx.ncnn.bin",
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    "format":   "ncnn",
    "assert":   "model.modules[0].nodes[845].inputs[1].value[0].quantization.type == 'lookup'",
    "tags":     "quantization,skip-render",
    "link":     "https://huggingface.co/bookbot/sherpa-ncnn-pruned-transducer-stateless7-streaming-id"
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    "source":   "https://deepdetect.com/models/init/embedded/images/detection/squeezenet_ssd_faces_ncnn.tar.gz[faces_wider_squeezenet.param,faces_wider_squeezenet.bin]",
    "format":   "ncnn",
    "link":     "https://www.deepdetect.com/models/faces_embedded_ncnn"
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    "type":     "ncnn",
    "target":   "frozen.pb.cfg.ncnn,frozen.pb.weights.ncnn",
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    "format":   "ncnn",
    "link":     "https://github.com/00liujj/gen-ncnn-models"
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    "link":     "https://github.com/Tencent/ncnn"
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    "link":     "https://github.com/lutzroeder/netron/issues/296"
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    "format":   "ncnn",
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    "tags":     "validation",
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    "format":   "ncnn",
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    "format":   "xmodel",
    "link":     "https://github.com/Xilinx/Vitis-AI/blob/master/models/AI-Model-Zoo/model-list/tf2_mobilenetv1_imagenet_224_224_1.15G_1.3/model.yaml"
  },
  {
    "type":     "xmodel",
    "target":   "PointsQuality_int.xmodel",
    "source":   "https://github.com/lutzroeder/netron/files/7083633/pt_face-quality_80_60_61.68M_1.4.zip[pt_face-quality_80_60_61.68M_1.4/quantized/PointsQuality_int.xmodel]",
    "format":   "xmodel",
    "link":     "https://github.com/lutzroeder/netron/issues/718"
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]