Upload DPTForSemanticSegmentation
Browse files- config.json +61 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_commit_hash": "1afacbb07a51bb2bbd20ce28de7bdc04cf0ac865",
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"_name_or_path": "awaisyaqoob/dpt-augumented-custom-xray2",
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"architectures": [
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"DPTForSemanticSegmentation"
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],
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"attention_probs_dropout_prob": 0.0,
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"auxiliary_loss_weight": 0.4,
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"backbone_config": null,
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"backbone_featmap_shape": null,
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"backbone_out_indices": [
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5,
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11,
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17,
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23
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],
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"fusion_hidden_size": 256,
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"head_in_index": -1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "background",
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"1": "lungs"
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},
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"image_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"is_hybrid": false,
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"label2id": {
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"background": 0,
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"lungs": 1
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},
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"layer_norm_eps": 1e-12,
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"model_type": "dpt",
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"neck_hidden_sizes": [
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256,
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512,
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1024,
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1024
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],
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"neck_ignore_stages": [],
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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"patch_size": 16,
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"qkv_bias": true,
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"readout_type": "project",
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"reassemble_factors": [
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4,
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2,
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1,
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0.5
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],
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"semantic_classifier_dropout": 0.1,
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.18.0.dev0",
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"use_auxiliary_head": true,
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"use_batch_norm_in_fusion_residual": true
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:82313d42a046da4a5a357f90ff9e4d37d44339b054a0f6a4cf1e44614dbd8a98
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size 1375751213
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