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- _BASE_: [
- '../datasets/coco_instance.yml',
- '../runtime.yml',
- '_base_/solov2_r50_fpn.yml',
- '_base_/optimizer_1x.yml',
- '_base_/solov2_reader.yml',
- ]
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams
- weights: output/solov2_r101_vd_fpn_3x_coco/model_final
- epoch: 36
- use_ema: true
- ema_decay: 0.9998
- ResNet:
- depth: 101
- variant: d
- freeze_at: 0
- return_idx: [0,1,2,3]
- dcn_v2_stages: [1,2,3]
- num_stages: 4
- SOLOv2Head:
- seg_feat_channels: 512
- stacked_convs: 4
- num_grids: [40, 36, 24, 16, 12]
- kernel_out_channels: 256
- solov2_loss: SOLOv2Loss
- mask_nms: MaskMatrixNMS
- dcn_v2_stages: [0, 1, 2, 3]
- SOLOv2MaskHead:
- mid_channels: 128
- out_channels: 256
- start_level: 0
- end_level: 3
- use_dcn_in_tower: True
- LearningRate:
- base_lr: 0.01
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones: [24, 33]
- - !LinearWarmup
- start_factor: 0.
- steps: 2000
- TrainReader:
- sample_transforms:
- - Decode: {}
- - Poly2Mask: {}
- - RandomResize: {interp: 1,
- target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]],
- keep_ratio: True}
- - RandomFlip: {}
- - 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}
- - Gt2Solov2Target: {num_grids: [40, 36, 24, 16, 12],
- scale_ranges: [[1, 96], [48, 192], [96, 384], [192, 768], [384, 2048]],
- coord_sigma: 0.2}
- batch_size: 2
- shuffle: true
- drop_last: true
|
