Upload folder using huggingface_hub

config.json

@@ -0,0 +1,52 @@
+{
+  "_commit_hash": "c495ca2d781fb76fc1722005fd402ebcc304c173",
+  "_name_or_path": "Intel/dpt-large",
+  "architectures": [
+    "DPTForDepthEstimation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_loss_weight": 0.4,
+  "backbone_config": null,
+  "backbone_featmap_shape": null,
+  "backbone_out_indices": [
+    5,
+    11,
+    17,
+    23
+  ],
+  "fusion_hidden_size": 256,
+  "head_in_index": -1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "is_hybrid": false,
+  "layer_norm_eps": 1e-12,
+  "model_type": "dpt",
+  "neck_hidden_sizes": [
+    256,
+    512,
+    1024,
+    1024
+  ],
+  "neck_ignore_stages": [],
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "readout_type": "project",
+  "reassemble_factors": [
+    4,
+    2,
+    1,
+    0.5
+  ],
+  "semantic_classifier_dropout": 0.1,
+  "semantic_loss_ignore_index": 255,
+  "transformers_version": "4.18.0.dev0",
+  "use_auxiliary_head": true,
+  "use_batch_norm_in_fusion_residual": false
+}

onnx/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68890009c34e0c888054ad7ec323a415288ff4392eca939206037210667cfb33
+size 1367985007

onnx/model_quantized.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2baf25a03652c200b8ffe4236a81b13a6dbe02bee2181b2978c2fb91273e6fd
+size 353082149

preprocessor_config.json

@@ -0,0 +1,25 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "ensure_multiple_of": 1,
+  "feature_extractor_type": "DPTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "DPTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "keep_aspect_ratio": false,
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 384,
+    "width": 384
+  }
+}

quantize_config.json

@@ -0,0 +1,39 @@
+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Pow",
+                "Add",
+                "Resize",
+                "ConstantOfShape",
+                "Unsqueeze",
+                "Sub",
+                "MatMul",
+                "Expand",
+                "Concat",
+                "Slice",
+                "Sqrt",
+                "Constant",
+                "Squeeze",
+                "ConvTranspose",
+                "Where",
+                "Shape",
+                "Conv",
+                "Reshape",
+                "Relu",
+                "Div",
+                "Erf",
+                "Transpose",
+                "Softmax",
+                "Cast",
+                "Gather",
+                "Mul",
+                "Equal",
+                "ReduceMean"
+            ],
+            "weight_type": "QUInt8"
+        }
+    }
+}