_BASE_: [ '../datasets/coco_detection.yml', '../runtime.yml', '_base_/optimizer_6x.yml', '_base_/rtdetr_r50vd.yml', '_base_/rtdetr_reader.yml', ] weights: output/rtdetr_r34vd_6x_coco/model_final find_unused_parameters: True log_iter: 200 pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ResNet34_vd_pretrained.pdparams ResNet: depth: 34 variant: d return_idx: [1, 2, 3] freeze_at: -1 freeze_norm: false norm_decay: 0. HybridEncoder: hidden_dim: 256 use_encoder_idx: [2] num_encoder_layers: 1 encoder_layer: name: TransformerLayer d_model: 256 nhead: 8 dim_feedforward: 1024 dropout: 0. activation: 'gelu' expansion: 0.5 depth_mult: 1.0 RTDETRTransformer: eval_idx: -1 num_decoder_layers: 4