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  1. config.json +86 -0
  2. model.safetensors +3 -0
  3. preprocessor_config.json +27 -0
config.json ADDED
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+ {
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+ "DepthAnythingForDepthEstimation"
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+ ],
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+ "backbone": null,
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+ "backbone_config": {
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+ "apply_layernorm": true,
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+ "architectures": [
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+ "Dinov2Model"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "drop_path_rate": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "layer_norm_eps": 1e-06,
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+ "layerscale_value": 1.0,
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+ "mlp_ratio": 4,
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+ "model_type": "dinov2",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "out_features": [
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+ "stage9",
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+ "stage10",
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+ "stage11",
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+ "stage12"
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+ ],
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+ "patch_size": 14,
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+ "qkv_bias": true,
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+ "reshape_hidden_states": false,
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+ "stage_names": [
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+ "stem",
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+ "stage1",
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+ "stage2",
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+ "stage3",
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+ "stage4",
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+ "stage5",
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+ "stage6",
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+ "stage7",
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+ "stage8",
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+ "stage9",
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+ "stage10",
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+ "stage11",
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+ "stage12"
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+ ],
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+ "torch_dtype": "float32",
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+ "use_mask_token": true,
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+ "use_swiglu_ffn": false
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+ },
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+ "backbone_kwargs": null,
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+ "depth_estimation_type": "relative",
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+ "fusion_hidden_size": 128,
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+ "head_hidden_size": 32,
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+ "head_in_index": -1,
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+ "initializer_range": 0.02,
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+ "max_depth": 1,
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+ "model_type": "depth_anything",
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+ "neck_hidden_sizes": [
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+ 192,
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+ 384,
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+ 768
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+ ],
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+ "output_attentions": false,
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+ "reassemble_factors": [
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+ "reassemble_hidden_size": 768,
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+ "torch_dtype": "float32",
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+ "transformers_version": null,
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+ "use_pretrained_backbone": false,
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+ "use_timm_backbone": false
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+ }
model.safetensors ADDED
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+ size 389916980
preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ }