Upload 6 files

config.json

@@ -0,0 +1,53 @@
+{
+  "_commit_hash": "9103bc8e2d785bcfd024e4bfd7e7c4593bc50bba",
+  "_name_or_path": "LiheYoung/depth-anything-small-hf",
+  "architectures": [
+    "DepthAnythingForDepthEstimation"
+  ],
+  "backbone": null,
+  "backbone_config": {
+    "architectures": [
+      "Dinov2Model"
+    ],
+    "hidden_size": 384,
+    "image_size": 518,
+    "model_type": "dinov2",
+    "num_attention_heads": 6,
+    "out_features": [
+      "stage9",
+      "stage10",
+      "stage11",
+      "stage12"
+    ],
+    "out_indices": [
+      9,
+      10,
+      11,
+      12
+    ],
+    "patch_size": 14,
+    "reshape_hidden_states": false,
+    "torch_dtype": "float32"
+  },
+  "fusion_hidden_size": 64,
+  "head_hidden_size": 32,
+  "head_in_index": -1,
+  "initializer_range": 0.02,
+  "model_type": "depth_anything",
+  "neck_hidden_sizes": [
+    48,
+    96,
+    192,
+    384
+  ],
+  "patch_size": 14,
+  "reassemble_factors": [
+    4,
+    2,
+    1,
+    0.5
+  ],
+  "reassemble_hidden_size": 384,
+  "transformers_version": null,
+  "use_pretrained_backbone": false
+}

onnx/model.onnx

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+oid sha256:c222151fa1a941b7a075efdee44a85bb22e1bc07dce3659a03cb3f4eb53dd213
+size 99170955

onnx/model_fp16.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4fa4ac864741730946ef3613e06e2ec60b9e22dde03b5487a1dc970c2c8840b0
+size 49863207

onnx/model_q4f16.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ecaf76ba1fe790fbf0c8340f38cf3a2eb0f35793ae27b7a14a138443e377edd1
+size 19345426

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_pad": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "ensure_multiple_of": 14,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DPTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "keep_aspect_ratio": true,
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 518,
+    "width": 518
+  },
+  "size_divisor": null
+}

quantize_config.json

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+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Constant",
+                "Gather",
+                "MatMul",
+                "Transpose",
+                "Equal",
+                "Expand",
+                "Concat",
+                "Sqrt",
+                "Pow",
+                "Relu",
+                "Cast",
+                "Conv",
+                "ConvTranspose",
+                "Slice",
+                "Unsqueeze",
+                "Reshape",
+                "Softmax",
+                "Erf",
+                "Sub",
+                "Identity",
+                "Where",
+                "ConstantOfShape",
+                "Squeeze",
+                "Div",
+                "ReduceMean",
+                "Shape",
+                "Resize",
+                "Mul",
+                "Add"
+            ],
+            "weight_type": "QUInt8"
+        }
+    }
+}