init

config.json

@@ -0,0 +1,87 @@
+{
+  "architectures": [
+    "CustomDDETRModel"
+  ],
+  "ddetr_cfg": {
+    "activation_dropout": 0.0,
+    "activation_function": "relu",
+    "attention_dropout": 0.0,
+    "auxiliary_loss": true,
+    "backbone": "resnet50",
+    "backbone_config": null,
+    "bbox_cost": 5,
+    "bbox_loss_coefficient": 5,
+    "class_cost": 2,
+    "cls_loss_coefficient": 2,
+    "d_model": 256,
+    "decoder_attention_heads": 8,
+    "decoder_ffn_dim": 1024,
+    "decoder_layers": 6,
+    "decoder_n_points": 4,
+    "dice_loss_coefficient": 1,
+    "dilation": false,
+    "disable_custom_kernels": false,
+    "dropout": 0.1,
+    "encoder_attention_heads": 8,
+    "encoder_ffn_dim": 1024,
+    "encoder_layerdrop": 0.0,
+    "encoder_layers": 6,
+    "encoder_n_points": 4,
+    "eos_coefficient": 0.1,
+    "focal_alpha": 0.25,
+    "giou_cost": 2,
+    "giou_loss_coefficient": 2,
+    "id2label": {
+      "0": "LABEL_0"
+    },
+    "init_std": 0.02,
+    "init_xavier_std": 1.0,
+    "is_encoder_decoder": true,
+    "label2id": {
+      "LABEL_0": 0
+    },
+    "mask_loss_coefficient": 1,
+    "max_position_embeddings": 1024,
+    "model_type": "deformable_detr",
+    "num_channels": 3,
+    "num_feature_levels": 1,
+    "num_queries": 300,
+    "position_embedding_type": "sine",
+    "transformers_version": "4.32.0",
+    "two_stage": true,
+    "two_stage_num_proposals": 300,
+    "use_pretrained_backbone": true,
+    "use_timm_backbone": true,
+    "with_box_refine": true
+  },
+  "model_type": "ddetr",
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0",
+  "vis_encoder_cfg": {
+    "architectures": [
+      "Dinov2Model"
+    ],
+    "attention_probs_dropout_prob": 0.0,
+    "drop_path_rate": 0.0,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 1024,
+    "image_size": 518,
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-06,
+    "layerscale_value": 1.0,
+    "mlp_ratio": 4,
+    "model_type": "dinov2",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "qkv_bias": true,
+    "torch_dtype": "float32",
+    "transformers_version": "4.32.0",
+    "use_swiglu_ffn": false
+  },
+  "vis_encoder_path": "checkpoints/dinov2-large",
+  "vis_output_layer": -2,
+  "zs_weight_path": null
+}

preprocessor_config.json

@@ -0,0 +1,27 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": false,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

pytorch_model.bin

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+oid sha256:107801584fe1cc9eeddbd208fc444b32de7e0a8cc8433c3308edf1bc6916d5a1
+size 1266992689

training_args.bin

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+oid sha256:f606279103b477c3345aa6f1a6167242ce730521ea5b45b81cde8d05df346ea3
+size 4283