_BASE_: [ '../../../configs/datasets/spine_coco.yml', '../../../configs/runtime.yml',
'../../../configs/rotate/s2anet/_base_/s2anet_optimizer_2x.yml', '../../../configs/rotate/s2anet/_base_/s2anet.yml', '../../../configs/rotate/s2anet/_base_/s2anet_reader.yml',
] weights: output/s2anet_conv_1x_dota/model_final pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams ResNet: depth: 50 variant: b norm_type: bn return_idx: [1,2,3] num_stages: 4 S2ANetHead: anchor_strides: [8, 16, 32, 64, 128] anchor_scales: [4] anchor_ratios: [1.0] anchor_assign: RBoxAssigner stacked_convs: 2 feat_in: 256 feat_out: 256 num_classes: 9 align_conv_type: 'Conv' # AlignConv Conv align_conv_size: 3 use_sigmoid_cls: True reg_loss_weight: [1.0, 1.0, 1.0, 1.0, 1.1] cls_loss_weight: [1.1, 1.05]
