Files
RT-DETR/rtdetr_paddle/configs/rtdetr/rtdetr_r34vd_6x_coco.yml
2026-06-03 12:42:47 +08:00

39 lines
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YAML

_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