dfine_medium_obj365 / config.json
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{
"module": "keras_hub.src.models.d_fine.d_fine_backbone",
"class_name": "DFineBackbone",
"config": {
"name": "d_fine_backbone",
"trainable": true,
"backbone": {
"module": "keras_hub.src.models.hgnetv2.hgnetv2_backbone",
"class_name": "HGNetV2Backbone",
"config": {
"name": "hg_net_v2_backbone",
"trainable": true,
"depths": [
3,
4,
6,
3
],
"embedding_size": 32,
"hidden_sizes": [
192,
384,
768,
1536
],
"stem_channels": [
3,
24,
32
],
"hidden_act": "relu",
"use_learnable_affine_block": true,
"stackwise_stage_filters": [
[
32,
32,
96,
1,
4,
3
],
[
96,
64,
384,
1,
4,
3
],
[
384,
128,
768,
3,
4,
5
],
[
768,
256,
1536,
1,
4,
5
]
],
"apply_downsample": [
false,
true,
true,
true
],
"use_lightweight_conv_block": [
false,
false,
true,
true
],
"image_shape": [
null,
null,
3
],
"out_features": [
"stage2",
"stage3",
"stage4"
],
"data_format": "channels_last"
},
"registered_name": "keras_hub>HGNetV2Backbone"
},
"decoder_in_channels": [
256,
256,
256
],
"encoder_hidden_dim": 256,
"num_labels": 366,
"num_denoising": 100,
"learn_initial_query": false,
"num_queries": 300,
"anchor_image_size": [
640,
640
],
"feat_strides": [
8,
16,
32
],
"num_feature_levels": 3,
"hidden_dim": 256,
"encoder_in_channels": [
384,
768,
1536
],
"encode_proj_layers": [
2
],
"num_attention_heads": 8,
"encoder_ffn_dim": 1024,
"num_encoder_layers": 1,
"hidden_expansion": 1.0,
"depth_multiplier": 0.67,
"eval_idx": -1,
"box_noise_scale": 1.0,
"label_noise_ratio": 0.5,
"labels": null,
"num_decoder_layers": 4,
"decoder_attention_heads": 8,
"decoder_ffn_dim": 1024,
"decoder_method": "default",
"decoder_n_points": [
3,
6,
3
],
"lqe_hidden_dim": 64,
"num_lqe_layers": 2,
"seed": 0,
"image_shape": [
null,
null,
3
],
"data_format": "channels_last",
"out_features": [
"stage2",
"stage3",
"stage4"
]
},
"registered_name": "keras_hub>DFineBackbone"
}