Upload MobileNetV2ForSemanticSegmentation
Browse files- config.json +70 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "google/deeplabv3_mobilenet_v2_1.0_513",
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"architectures": [
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"MobileNetV2ForSemanticSegmentation"
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],
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"classifier_dropout_prob": 0.8,
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"depth_divisible_by": 8,
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"depth_multiplier": 1.0,
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"expand_ratio": 6,
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"finegrained_output": true,
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"first_layer_is_expansion": true,
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"hidden_act": "relu6",
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"id2label": {
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"0": "background",
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"1": "aeroplane",
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"2": "bicycle",
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"3": "bird",
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"4": "boat",
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"5": "bottle",
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"6": "bus",
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"7": "car",
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"8": "cat",
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"9": "chair",
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"10": "cow",
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"11": "diningtable",
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"12": "dog",
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"13": "horse",
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"14": "motorbike",
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"15": "person",
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"16": "pottedplant",
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"17": "sheep",
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"18": "sofa",
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"19": "train",
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"20": "tvmonitor"
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},
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"image_size": 513,
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"initializer_range": 0.02,
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"label2id": {
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"aeroplane": 1,
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"background": 0,
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"bicycle": 2,
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"bird": 3,
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"boat": 4,
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"bottle": 5,
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"bus": 6,
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"car": 7,
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"cat": 8,
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"chair": 9,
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"cow": 10,
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"diningtable": 11,
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"dog": 12,
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"horse": 13,
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"motorbike": 14,
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"person": 15,
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"pottedplant": 16,
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"sheep": 17,
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"sofa": 18,
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"train": 19,
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"tvmonitor": 20
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},
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"layer_norm_eps": 0.001,
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"min_depth": 8,
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"model_type": "mobilenet_v2",
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"num_channels": 3,
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"output_stride": 8,
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"semantic_loss_ignore_index": 255,
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"tf_padding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.30.2"
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}
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pytorch_model.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7f84fc670746a511013fc4c06ee90daca1955d4cefa98a6275499a901ada4711
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size 10362503
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