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- use_gpu: true
- log_iter: 10
- save_dir: output
- snapshot_epoch: 10
- weights: output/higherhrnet_hrnet_w32_640/model_final
- epoch: 300
- num_joints: &num_joints 17
- flip_perm: &flip_perm [0, 2, 1, 4, 3, 6, 5, 8, 7, 10, 9, 12, 11, 14, 13, 16, 15]
- input_size: &input_size 640
- hm_size: &hm_size 160
- hm_size_2x: &hm_size_2x 320
- max_people: &max_people 30
- metric: COCO
- IouType: keypoints
- num_classes: 1
- #####model
- architecture: HigherHRNet
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/Trunc_HRNet_W32_C_pretrained.pdparams
- HigherHRNet:
- backbone: HRNet
- hrhrnet_head: HrHRNetHead
- post_process: HrHRNetPostProcess
- flip_perm: *flip_perm
- eval_flip: true
- HRNet:
- width: &width 32
- freeze_at: -1
- freeze_norm: false
- return_idx: [0]
- HrHRNetHead:
- num_joints: *num_joints
- width: *width
- loss: HrHRNetLoss
- swahr: false
- HrHRNetLoss:
- num_joints: *num_joints
- swahr: false
- #####optimizer
- LearningRate:
- base_lr: 0.001
- schedulers:
- - !PiecewiseDecay
- milestones: [200, 260]
- gamma: 0.1
- - !LinearWarmup
- start_factor: 0.001
- steps: 1000
- OptimizerBuilder:
- optimizer:
- type: Adam
- regularizer: None
- #####data
- TrainDataset:
- !KeypointBottomUpCocoDataset
- image_dir: train2017
- anno_path: annotations/person_keypoints_train2017.json
- dataset_dir: dataset/coco
- num_joints: *num_joints
- EvalDataset:
- !KeypointBottomUpCocoDataset
- image_dir: val2017
- anno_path: annotations/person_keypoints_val2017.json
- dataset_dir: dataset/coco
- num_joints: *num_joints
- test_mode: true
- TestDataset:
- !ImageFolder
- anno_path: dataset/coco/keypoint_imagelist.txt
- worker_num: 0
- global_mean: &global_mean [0.485, 0.456, 0.406]
- global_std: &global_std [0.229, 0.224, 0.225]
- TrainReader:
- sample_transforms:
- - RandomAffine:
- max_degree: 30
- scale: [0.75, 1.5]
- max_shift: 0.2
- trainsize: *input_size
- hmsize: [*hm_size, *hm_size_2x]
- - KeyPointFlip:
- flip_prob: 0.5
- flip_permutation: *flip_perm
- hmsize: [*hm_size, *hm_size_2x]
- - ToHeatmaps:
- num_joints: *num_joints
- hmsize: [*hm_size, *hm_size_2x]
- sigma: 2
- - TagGenerate:
- num_joints: *num_joints
- max_people: *max_people
- - NormalizePermute:
- mean: *global_mean
- std: *global_std
- batch_size: 20
- shuffle: true
- drop_last: true
- use_shared_memory: true
- EvalReader:
- sample_transforms:
- - EvalAffine:
- size: *input_size
- - NormalizeImage:
- mean: *global_mean
- std: *global_std
- is_scale: true
- - Permute: {}
- batch_size: 1
- TestReader:
- sample_transforms:
- - Decode: {}
- - EvalAffine:
- size: *input_size
- - NormalizeImage:
- mean: *global_mean
- std: *global_std
- is_scale: true
- - Permute: {}
- batch_size: 1
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