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config.json

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+{
+  "_name_or_path": "microsoft/table-transformer-detection",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "TableTransformerForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": "resnet18",
+  "backbone_config": null,
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "ce_loss_coefficient": 1,
+  "class_cost": 1,
+  "d_model": 256,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "dice_loss_coefficient": 1,
+  "dilation": false,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_coefficient": 0.4,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "table",
+    "1": "table rotated"
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "table": 0,
+    "table rotated": 1
+  },
+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 1024,
+  "model_type": "table-transformer",
+  "num_channels": 3,
+  "num_hidden_layers": 6,
+  "num_queries": 15,
+  "position_embedding_type": "sine",
+  "scale_embedding": false,
+  "transformers_version": "4.37.0.dev0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

onnx/model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5be82ec9d157814ea8616588398d7baec17aed0780b870f7adf24b280ee1b5aa
+size 115694355

onnx/model_quantized.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ffb22794497a7092ad949bca248f22ff860fb457e6402986e09f6023b6e91c88
+size 30044711

preprocessor_config.json

@@ -0,0 +1,24 @@
+{
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DetrFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 800,
+    "shortest_edge": 800
+  }
+}

quantize_config.json

@@ -0,0 +1,43 @@
+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Slice",
+                "Shape",
+                "Add",
+                "Resize",
+                "Div",
+                "ReduceMean",
+                "Flatten",
+                "MatMul",
+                "Tile",
+                "Constant",
+                "Equal",
+                "Cos",
+                "Pow",
+                "CumSum",
+                "Transpose",
+                "ConstantOfShape",
+                "Conv",
+                "Mul",
+                "MaxPool",
+                "Cast",
+                "Sigmoid",
+                "Expand",
+                "Relu",
+                "Where",
+                "Sub",
+                "Sqrt",
+                "Softmax",
+                "Reshape",
+                "Gather",
+                "Sin",
+                "Unsqueeze",
+                "Concat"
+            ],
+            "weight_type": "QUInt8"
+        }
+    }
+}