deta-potholes / config.json
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{
"_name_or_path": "jozhang97/deta-resnet-50",
"activation_dropout": 0.0,
"activation_function": "relu",
"architectures": [
"DetaForObjectDetection"
],
"assign_first_stage": true,
"assign_second_stage": true,
"attention_dropout": 0.0,
"auxiliary_loss": true,
"backbone_config": {
"model_type": "resnet",
"out_features": [
"stage2",
"stage3",
"stage4"
],
"out_indices": [
2,
3,
4
]
},
"bbox_cost": 5,
"bbox_loss_coefficient": 5,
"class_cost": 1,
"d_model": 256,
"decoder_attention_heads": 8,
"decoder_ffn_dim": 2048,
"decoder_layerdrop": 0.0,
"decoder_layers": 6,
"decoder_n_points": 4,
"dice_loss_coefficient": 1,
"dropout": 0.1,
"encoder_attention_heads": 8,
"encoder_ffn_dim": 2048,
"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,
"init_std": 0.02,
"init_xavier_std": 1.0,
"is_encoder_decoder": true,
"mask_loss_coefficient": 1,
"max_position_embeddings": 2048,
"model_type": "deta",
"num_feature_levels": 5,
"num_queries": 900,
"position_embedding_type": "sine",
"torch_dtype": "float32",
"transformers_version": "4.37.2",
"two_stage": true,
"two_stage_num_proposals": 300,
"with_box_refine": true
}