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- _BASE_: [
- '../datasets/coco_detection.yml',
- '../runtime.yml',
- '_base_/gfl_r50_fpn.yml',
- '_base_/optimizer_1x.yml',
- '_base_/gfl_reader.yml',
- ]
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams
- weights: output/gfl_r101vd_fpn_mstrain_2x_coco/model_final
- find_unused_parameters: True
- use_ema: true
- ema_decay: 0.9998
- ResNet:
- depth: 101
- variant: d
- norm_type: bn
- freeze_at: 0
- return_idx: [1,2,3]
- num_stages: 4
- epoch: 24
- LearningRate:
- base_lr: 0.01
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones: [16, 22]
- - !LinearWarmup
- start_factor: 0.001
- steps: 500
- TrainReader:
- sample_transforms:
- - Decode: {}
- - RandomResize: {target_size: [[480, 1333], [512, 1333], [544, 1333], [576, 1333], [608, 1333], [640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], interp: 2, keep_ratio: True}
- - RandomFlip: {prob: 0.5}
- - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
- - Permute: {}
- batch_transforms:
- - PadBatch: {pad_to_stride: 32}
- - Gt2GFLTarget:
- downsample_ratios: [8, 16, 32, 64, 128]
- grid_cell_scale: 8
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