Object Detection
PyTorch
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{
"activation_dropout": 0.0,
"activation_function": "relu",
"architectures": [
"DeformableDetrForObjectDetection"
],
"attention_dropout": 0.0,
"auxiliary_loss": false,
"backbone": "resnet50",
"backbone_config": null,
"bbox_cost": 5,
"bbox_loss_coefficient": 5,
"class_cost": 1,
"d_model": 256,
"decoder_attention_heads": 8,
"decoder_ffn_dim": 1024,
"decoder_layers": 6,
"decoder_n_points": 4,
"dice_loss_coefficient": 1,
"dilation": 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,
"init_std": 0.02,
"init_xavier_std": 1.0,
"is_encoder_decoder": true,
"mask_loss_coefficient": 1,
"max_position_embeddings": 1024,
"model_type": "deformable_detr",
"num_channels": 3,
"num_feature_levels": 4,
"num_queries": 300,
"position_embedding_type": "sine",
"torch_dtype": "float32",
"transformers_version": "4.28.0",
"two_stage": false,
"two_stage_num_proposals": 300,
"use_pretrained_backbone": true,
"use_timm_backbone": "SenseTime/deformable-detr",
"with_box_refine": false
}