add onnx weights for transformers.js

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/Users/jonathandinu/Desktop/PROJECTS/arch_fake_faces/ethereum/gcp/assets/segformer_b5",
+  "_name_or_path": "jonathandinu/face-parsing",
   "architectures": [
     "SegformerForSemanticSegmentation"
   ],
@@ -107,6 +107,5 @@
     2,
     2
   ],
-  "torch_dtype": "float32",
-  "transformers_version": "4.20.1"
+  "transformers_version": "4.37.0.dev0"
 }

onnx/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d4e67af60ff78184745ebf74cc15163c0adc27d45cdeba31e3a03d1096fb8c3
+size 340316611

onnx/model_quantized.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bab9bfb3cb979f3098ac3b934b1641dbf87f835e0b03c2ca6d88dcf18c83d27
+size 89439678

preprocessor_config.json

@@ -1,18 +1,23 @@
 {
   "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
   "do_resize": true,
-  "feature_extractor_type": "SegformerFeatureExtractor",
   "image_mean": [
     0.485,
     0.456,
     0.406
   ],
+  "image_processor_type": "SegformerFeatureExtractor",
   "image_std": [
     0.229,
     0.224,
     0.225
   ],
-  "reduce_labels": false,
   "resample": 2,
-  "size": 512
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
 }

quantize_config.json

@@ -0,0 +1,33 @@
+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Unsqueeze",
+                "Shape",
+                "Transpose",
+                "Sqrt",
+                "Gather",
+                "Slice",
+                "Erf",
+                "Div",
+                "Reshape",
+                "Add",
+                "Cast",
+                "Sub",
+                "Concat",
+                "ReduceMean",
+                "Mul",
+                "Conv",
+                "Constant",
+                "Resize",
+                "Softmax",
+                "Pow",
+                "Relu",
+                "MatMul"
+            ],
+            "weight_type": "QUInt8"
+        }
+    }
+}