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- architecture: YOLOv3
- use_gpu: true
- max_iters: 250000
- log_iter: 20
- save_dir: output
- snapshot_iter: 10000
- metric: COCO
- pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet18_vd_pretrained.tar
- weights: output/ppyolo_tiny/model_final
- num_classes: 80
- use_fine_grained_loss: true
- use_ema: true
- ema_decay: 0.9998
- YOLOv3:
- backbone: ResNet
- yolo_head: YOLOv3Head
- use_fine_grained_loss: true
- ResNet:
- norm_type: sync_bn
- freeze_at: 0
- freeze_norm: false
- norm_decay: 0.
- depth: 18
- feature_maps: [4, 5]
- variant: d
- YOLOv3Head:
- anchor_masks: [[3, 4, 5], [0, 1, 2]]
- anchors: [[10, 14], [23, 27], [37, 58],
- [81, 82], [135, 169], [344, 319]]
- norm_decay: 0.
- conv_block_num: 0
- scale_x_y: 1.05
- yolo_loss: YOLOv3Loss
- nms: MatrixNMS
- drop_block: true
- YOLOv3Loss:
- ignore_thresh: 0.7
- scale_x_y: 1.05
- label_smooth: false
- use_fine_grained_loss: true
- iou_loss: IouLoss
- IouLoss:
- loss_weight: 2.5
- max_height: 608
- max_width: 608
- MatrixNMS:
- background_label: -1
- keep_top_k: 100
- normalized: false
- score_threshold: 0.01
- post_threshold: 0.01
- LearningRate:
- base_lr: 0.004
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones:
- - 150000
- - 200000
- - !LinearWarmup
- start_factor: 0.
- steps: 4000
- OptimizerBuilder:
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.0005
- type: L2
- _READER_: 'ppyolo_reader.yml'
- TrainReader:
- inputs_def:
- fields: ['image', 'gt_bbox', 'gt_class', 'gt_score']
- num_max_boxes: 50
- dataset:
- !COCODataSet
- image_dir: train2017
- anno_path: annotations/instances_train2017.json
- dataset_dir: train_data/dataset/coco
- with_background: false
- sample_transforms:
- - !DecodeImage
- to_rgb: True
- with_mixup: True
- - !MixupImage
- alpha: 1.5
- beta: 1.5
- - !ColorDistort {}
- - !RandomExpand
- fill_value: [123.675, 116.28, 103.53]
- - !RandomCrop {}
- - !RandomFlipImage
- is_normalized: false
- - !NormalizeBox {}
- - !PadBox
- num_max_boxes: 50
- - !BboxXYXY2XYWH {}
- batch_transforms:
- - !RandomShape
- sizes: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608]
- random_inter: True
- - !NormalizeImage
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- is_scale: True
- is_channel_first: false
- - !Permute
- to_bgr: false
- channel_first: True
- # Gt2YoloTarget is only used when use_fine_grained_loss set as true,
- # this operator will be deleted automatically if use_fine_grained_loss
- # is set as false
- - !Gt2YoloTarget
- anchor_masks: [[3, 4, 5], [0, 1, 2]]
- anchors: [[10, 14], [23, 27], [37, 58],
- [81, 82], [135, 169], [344, 319]]
- downsample_ratios: [32, 16]
- batch_size: 32
- shuffle: true
- mixup_epoch: 500
- drop_last: true
- worker_num: 16
- bufsize: 8
- use_process: true
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