Upload DepthAnythingForDepthEstimation

config.json

@@ -1,11 +1,8 @@
 {
   "_commit_hash": null,
-  "add_projection": false,
   "architectures": [
-    "DPTForDepthEstimation"
+    "DepthAnythingForDepthEstimation"
   ],
-  "attention_probs_dropout_prob": null,
-  "auxiliary_loss_weight": 0.4,
   "backbone_config": {
     "_name_or_path": "",
     "add_cross_attention": false,
@@ -117,44 +114,25 @@
     "use_bfloat16": false,
     "use_swiglu_ffn": false
   },
-  "backbone_featmap_shape": null,
-  "backbone_out_indices": null,
   "fusion_hidden_size": 64,
+  "head_hidden_size": 32,
   "head_in_index": -1,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": null,
-  "hidden_size": 768,
-  "image_size": null,
   "initializer_range": 0.02,
-  "intermediate_size": null,
-  "is_hybrid": false,
-  "layer_norm_eps": null,
-  "model_type": "dpt",
+  "model_type": "depth_anything",
   "neck_hidden_sizes": [
     48,
     96,
     192,
     384
   ],
-  "neck_ignore_stages": [],
-  "num_attention_heads": null,
-  "num_channels": null,
-  "num_hidden_layers": null,
-  "patch_size": null,
-  "qkv_bias": null,
-  "readout_type": "ignore",
+  "patch_size": 14,
   "reassemble_factors": [
     4,
     2,
     1,
     0.5
   ],
-  "semantic_classifier_dropout": 0.1,
-  "semantic_loss_ignore_index": 255,
+  "reassemble_hidden_size": 384,
   "torch_dtype": "float32",
-  "transformers_version": null,
-  "use_auxiliary_head": true,
-  "use_batch_norm_in_fusion_residual": false,
-  "use_bias_in_fusion_residual": true,
-  "use_size": true
+  "transformers_version": null
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 99173668
+oid sha256:7997c812d8964a741eec21e6816ec2db1e442b5109ea2e7db26dcb03c9060ef0
+size 99173660