File size: 1,393 Bytes
789e2f1 41ff76e 789e2f1 41ff76e 789e2f1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
{
"_name_or_path": "facebook/detr-resnet-50-dc5",
"activation_dropout": 0.0,
"activation_function": "relu",
"architectures": [
"DetrForObjectDetection"
],
"attention_dropout": 0.0,
"auxiliary_loss": false,
"backbone": "resnet50",
"backbone_config": null,
"backbone_kwargs": {
"in_chans": 3,
"out_indices": [
1,
2,
3,
4
],
"output_stride": 16
},
"bbox_cost": 5,
"bbox_loss_coefficient": 5,
"class_cost": 1,
"classifier_dropout": 0.0,
"d_model": 256,
"decoder_attention_heads": 8,
"decoder_ffn_dim": 2048,
"decoder_layerdrop": 0.0,
"decoder_layers": 6,
"dice_loss_coefficient": 1,
"dilation": true,
"dropout": 0.1,
"encoder_attention_heads": 8,
"encoder_ffn_dim": 2048,
"encoder_layerdrop": 0.0,
"encoder_layers": 6,
"eos_coefficient": 0.1,
"giou_cost": 2,
"giou_loss_coefficient": 2,
"id2label": {
"0": "segment"
},
"init_std": 0.02,
"init_xavier_std": 1.0,
"is_encoder_decoder": true,
"label2id": {
"segment": 0
},
"mask_loss_coefficient": 1,
"max_position_embeddings": 1024,
"model_type": "detr",
"num_channels": 3,
"num_hidden_layers": 6,
"num_queries": 100,
"position_embedding_type": "sine",
"scale_embedding": false,
"torch_dtype": "float32",
"transformers_version": "4.44.1",
"use_pretrained_backbone": true,
"use_timm_backbone": true
}
|