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- architecture: EfficientDet
- max_iters: 281250
- use_gpu: true
- pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB0_pretrained.tar
- weights: output/efficientdet_d0/model_final
- log_iter: 20
- snapshot_iter: 10000
- metric: COCO
- save_dir: output
- num_classes: 81
- use_ema: true
- ema_decay: 0.9998
- EfficientDet:
- backbone: EfficientNet
- fpn: BiFPN
- efficient_head: EfficientHead
- anchor_grid: AnchorGrid
- box_loss_weight: 50.
- EfficientNet:
- # norm_type: sync_bn
- # TODO
- norm_type: bn
- scale: b0
- use_se: true
- BiFPN:
- num_chan: 64
- repeat: 3
- levels: 5
- EfficientHead:
- repeat: 3
- num_chan: 64
- prior_prob: 0.01
- num_anchors: 9
- gamma: 1.5
- alpha: 0.25
- delta: 0.1
- output_decoder:
- score_thresh: 0.05 # originally 0.
- nms_thresh: 0.5
- pre_nms_top_n: 1000 # originally 5000
- detections_per_im: 100
- nms_eta: 1.0
- AnchorGrid:
- anchor_base_scale: 4
- num_scales: 3
- aspect_ratios: [[1, 1], [1.4, 0.7], [0.7, 1.4]]
- LearningRate:
- base_lr: 0.16
- schedulers:
- - !CosineDecayWithSkip
- total_steps: 281250
- skip_steps: 938
- - !LinearWarmup
- start_factor: 0.05
- steps: 938
- OptimizerBuilder:
- clip_grad_by_norm: 10.
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.00004
- type: L2
- TrainReader:
- inputs_def:
- fields: ['image', 'im_id', 'fg_num', 'gt_label', 'gt_target']
- dataset:
- !COCODataSet
- image_dir: train2017
- anno_path: annotations/instances_train2017.json
- dataset_dir: dataset/coco
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- - !RandomFlipImage
- prob: 0.5
- - !NormalizeImage
- is_channel_first: false
- is_scale: true
- mean: [0.485,0.456,0.406]
- std: [0.229, 0.224,0.225]
- - !RandomScaledCrop
- target_dim: 512
- scale_range: [.1, 2.]
- interp: 1
- - !Permute
- to_bgr: false
- channel_first: true
- - !TargetAssign
- image_size: 512
- batch_size: 16
- shuffle: true
- worker_num: 32
- bufsize: 16
- use_process: true
- drop_empty: false
- EvalReader:
- inputs_def:
- fields: ['image', 'im_info', 'im_id']
- dataset:
- !COCODataSet
- image_dir: val2017
- anno_path: annotations/instances_val2017.json
- dataset_dir: dataset/coco
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- with_mixup: false
- - !NormalizeImage
- is_channel_first: false
- is_scale: true
- mean: [0.485,0.456,0.406]
- std: [0.229, 0.224,0.225]
- - !ResizeAndPad
- target_dim: 512
- interp: 1
- - !Permute
- channel_first: true
- to_bgr: false
- drop_empty: false
- batch_size: 16
- shuffle: false
- worker_num: 2
- TestReader:
- inputs_def:
- fields: ['image', 'im_info', 'im_id']
- image_shape: [3, 512, 512]
- dataset:
- !ImageFolder
- anno_path: annotations/instances_val2017.json
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- with_mixup: false
- - !NormalizeImage
- is_channel_first: false
- is_scale: true
- mean: [0.485,0.456,0.406]
- std: [0.229, 0.224,0.225]
- - !ResizeAndPad
- target_dim: 512
- interp: 1
- - !Permute
- channel_first: true
- to_bgr: false
- batch_size: 16
- shuffle: false
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