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- # NOTE: this config file is only used for evaluation on COCO test2019 set,
- # for training or evaluationg on COCO val2017, please use ppyolo.yml
- architecture: YOLOv3
- use_gpu: true
- max_iters: 500000
- log_iter: 100
- save_dir: output
- snapshot_iter: 10000
- metric: COCO
- pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar
- weights: output/ppyolo/model_final
- num_classes: 80
- use_fine_grained_loss: true
- use_ema: true
- ema_decay: 0.9998
- save_prediction_only: True
- 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: 50
- feature_maps: [3, 4, 5]
- variant: d
- dcn_v2_stages: [5]
- YOLOv3Head:
- anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
- anchors: [[10, 13], [16, 30], [33, 23],
- [30, 61], [62, 45], [59, 119],
- [116, 90], [156, 198], [373, 326]]
- norm_decay: 0.
- coord_conv: true
- iou_aware: true
- iou_aware_factor: 0.4
- scale_x_y: 1.05
- spp: true
- 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
- iou_aware_loss: IouAwareLoss
- IouLoss:
- loss_weight: 2.5
- max_height: 608
- max_width: 608
- IouAwareLoss:
- loss_weight: 1.0
- 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: 0.00333
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones:
- - 400000
- - 450000
- - !LinearWarmup
- start_factor: 0.
- steps: 4000
- OptimizerBuilder:
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.0005
- type: L2
- _READER_: 'ppyolo_reader.yml'
- EvalReader:
- inputs_def:
- fields: ['image', 'im_size', 'im_id']
- num_max_boxes: 90
- dataset:
- !COCODataSet
- image_dir: test2017
- anno_path: annotations/image_info_test-dev2017.json
- dataset_dir: dataset/coco
- with_background: false
- sample_transforms:
- - !DecodeImage
- to_rgb: True
- - !ResizeImage
- target_size: 608
- interp: 1
- - !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
- batch_size: 1
- TestReader:
- dataset:
- !ImageFolder
- use_default_label: true
- with_background: false
- sample_transforms:
- - !DecodeImage
- to_rgb: True
- - !ResizeImage
- target_size: 608
- interp: 1
- - !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
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