更换文档检测模型

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2024-08-27 14:42:45 +08:00
parent aea6f19951
commit 1514e09c40
2072 changed files with 254336 additions and 4967 deletions

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use_gpu: true
log_iter: 5
save_dir: output
snapshot_epoch: 1
weights: output/tinypose3d_human36M/model_final
epoch: 220
num_joints: &num_joints 24
pixel_std: &pixel_std 200
metric: Pose3DEval
num_classes: 1
train_height: &train_height 128
train_width: &train_width 128
trainsize: &trainsize [*train_width, *train_height]
#####model
architecture: TinyPose3DHRHeatmapNet
pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams
TinyPose3DHRHeatmapNet:
backbone: LiteHRNet
post_process: HR3DNetPostProcess
num_joints: *num_joints
width: &width 40
loss: Pose3DLoss
LiteHRNet:
network_type: wider_naive
freeze_at: -1
freeze_norm: false
return_idx: [0]
Pose3DLoss:
weight_3d: 1.0
weight_2d: 0.0
#####optimizer
LearningRate:
base_lr: 0.0001
schedulers:
- !PiecewiseDecay
milestones: [17, 21]
gamma: 0.1
- !LinearWarmup
start_factor: 0.01
steps: 1000
OptimizerBuilder:
optimizer:
type: Adam
regularizer:
factor: 0.0
type: L2
#####data
TrainDataset:
!Pose3DDataset
dataset_dir: dataset/traindata/
image_dirs: ["human3.6m"]
anno_list: ['pose3d/Human3.6m_train.json']
num_joints: *num_joints
test_mode: False
EvalDataset:
!Pose3DDataset
dataset_dir: dataset/traindata/
image_dirs: ["human3.6m"]
anno_list: ['pose3d/Human3.6m_valid.json']
num_joints: *num_joints
test_mode: True
TestDataset:
!ImageFolder
anno_path: dataset/coco/keypoint_imagelist.txt
worker_num: 4
global_mean: &global_mean [0.485, 0.456, 0.406]
global_std: &global_std [0.229, 0.224, 0.225]
TrainReader:
sample_transforms:
- SinglePoseAffine:
trainsize: *trainsize
rotate: [0.5, 30] #[prob, rotate range]
scale: [0.5, 0.25] #[prob, scale range]
batch_transforms:
- NormalizeImage:
mean: *global_mean
std: *global_std
is_scale: true
- Permute: {}
batch_size: 128
shuffle: true
drop_last: true
EvalReader:
sample_transforms:
- SinglePoseAffine:
trainsize: *trainsize
rotate: [0., 30]
scale: [0., 0.25]
batch_transforms:
- NormalizeImage:
mean: *global_mean
std: *global_std
is_scale: true
- Permute: {}
batch_size: 128
TestReader:
inputs_def:
image_shape: [3, *train_height, *train_width]
sample_transforms:
- Decode: {}
- TopDownEvalAffine:
trainsize: *trainsize
- NormalizeImage:
mean: *global_mean
std: *global_std
is_scale: true
- Permute: {}
batch_size: 1
fuse_normalize: false