class_docstr: Detr model for object detection task.
class_docstr_tok: ["Detr","model","for","object","detection","task","."]
code: def default_flax_model_config(self):
      return ml_collections.ConfigDict(
          dict(
              hidden_dim=32,
              num_queries=8,
              query_emb_size=None,
              transformer_num_heads=2,
              transformer_num_encoder_layers=1,
              transformer_num_decoder_layers=1,
              transformer_qkv_dim=32,
              transformer_mlp_dim=32,
              transformer_normalize_before=False,
              backbone_num_filters=32,
              backbone_num_layers=1,
              aux_loss=False,
              dropout_rate=0.0,
              attention_dropout_rate=0.0,
          )
      )
  
imports: import functools
  from typing import Any, Callable, Dict, Tuple, Optional
  import flax.linen
  import jax
  from jax.nn import initializers
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.model_lib.layers import attention_layers
  from scenic.projects.baselines import resnet
  from scenic.projects.baselines.detr import detr_base_model
label_desc: Use image node_id 2 for calling the DETRModel obj's underlying member method code with example usage: obj.default_flax_model_config() and returns: ml_collections