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- _BASE_: [
- '../datasets/coco_detection.yml',
- '../runtime.yml',
- './_base_/ppyolo_r50vd_dcn.yml',
- './_base_/optimizer_1x.yml',
- './_base_/ppyolo_reader.yml',
- ]
- snapshot_epoch: 8
- use_ema: true
- weights: output/ppyolo_r50vd_dcn_1x_minicoco/model_final
- TrainReader:
- batch_size: 12
- TrainDataset:
- !COCODataSet
- image_dir: train2017
- # refer to https://github.com/giddyyupp/coco-minitrain
- anno_path: annotations/instances_minitrain2017.json
- dataset_dir: dataset/coco
- data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']
- epoch: 192
- LearningRate:
- base_lr: 0.005
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones:
- - 153
- - 173
- - !LinearWarmup
- start_factor: 0.
- steps: 4000
- OptimizerBuilder:
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.0005
- type: L2
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