_BASE_: [ '../_base_/datasets/coco_instance.yml', '../_base_/runtime.yml', '_base_/solov2_r50_fpn.yml', '_base_/optimizer_1x.yml', '_base_/solov2_reader.yml', ] weights: output/solov2_r50_fpn_3x_coco/model_final epoch: 36 LearningRate: base_lr: 0.01 schedulers: - !PiecewiseDecay gamma: 0.1 milestones: [24, 33] - !LinearWarmup start_factor: 0. steps: 1000 TrainReader: sample_transforms: - DecodeOp: {} - Poly2Mask: {} - RandomResizeOp: {interp: 1, target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], keep_ratio: True} - RandomFlipOp: {} - NormalizeImageOp: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]} - PermuteOp: {} batch_transforms: - PadBatchOp: {pad_to_stride: 32} - Gt2Solov2TargetOp: {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
