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config.json

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+{
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onnx/model.onnx

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+oid sha256:2eca68239006c64af94bdfa68464f34d7627c3dca7bb02932636e616c55a39ff
+size 533061339

onnx/model_quantized.onnx

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+oid sha256:e93ae95c198cd855c1f9119d09c9127498f07a357527f2d8821d4b412e2ef9a9
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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "ensure_multiple_of": 1,
+  "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

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