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DETR-table-detection

Object Detection
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detr
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DETR-table-detection
File size: 1,231 Bytes 
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{
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "DetrForObjectDetection"
  ],
  "attention_dropout": 0.0,
  "auxiliary_loss": false,
  "backbone": "resnet18",
  "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": "detr",
  "normalize_before": true,
  "num_channels": 3,
  "num_hidden_layers": 6,
  "num_queries": 15,
  "position_embedding_type": "sine",
  "scale_embedding": false,
  "torch_dtype": "float32",
  "transformers_version": "4.22.0.dev0",
  "use_pretrained_backbone": true
}