forked from PulseFocusPlatform/PulseFocusPlatform
87 lines
1.8 KiB
YAML
87 lines
1.8 KiB
YAML
architecture: YOLOv3
|
|
use_gpu: true
|
|
max_iters: 200000
|
|
log_iter: 20
|
|
save_dir: output
|
|
snapshot_iter: 5000
|
|
metric: COCO
|
|
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/DarkNet53_pretrained.tar
|
|
weights: https://paddlemodels.bj.bcebos.com/object_detection/pedestrian_yolov3_darknet.tar
|
|
num_classes: 1
|
|
use_fine_grained_loss: false
|
|
|
|
YOLOv3:
|
|
backbone: DarkNet
|
|
yolo_head: YOLOv3Head
|
|
|
|
DarkNet:
|
|
norm_type: sync_bn
|
|
norm_decay: 0.
|
|
depth: 53
|
|
|
|
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.
|
|
yolo_loss: YOLOv3Loss
|
|
nms:
|
|
background_label: -1
|
|
keep_top_k: 100
|
|
nms_threshold: 0.45
|
|
nms_top_k: 1000
|
|
normalized: false
|
|
score_threshold: 0.01
|
|
|
|
YOLOv3Loss:
|
|
batch_size: 8
|
|
ignore_thresh: 0.7
|
|
label_smooth: false
|
|
|
|
LearningRate:
|
|
base_lr: 0.001
|
|
schedulers:
|
|
- !PiecewiseDecay
|
|
gamma: 0.1
|
|
milestones:
|
|
- 150000
|
|
- 180000
|
|
- !LinearWarmup
|
|
start_factor: 0.
|
|
steps: 4000
|
|
|
|
OptimizerBuilder:
|
|
optimizer:
|
|
momentum: 0.9
|
|
type: Momentum
|
|
regularizer:
|
|
factor: 0.0005
|
|
type: L2
|
|
|
|
_READER_: '../../configs/yolov3_reader.yml'
|
|
TrainReader:
|
|
batch_size: 8
|
|
dataset:
|
|
!COCODataSet
|
|
dataset_dir: dataset/pedestrian
|
|
anno_path: annotations/instances_train2017.json
|
|
image_dir: train2017
|
|
with_background: false
|
|
|
|
EvalReader:
|
|
batch_size: 8
|
|
dataset:
|
|
!COCODataSet
|
|
dataset_dir: dataset/pedestrian
|
|
anno_path: annotations/instances_val2017.json
|
|
image_dir: val2017
|
|
with_background: false
|
|
|
|
TestReader:
|
|
batch_size: 1
|
|
dataset:
|
|
!ImageFolder
|
|
anno_path: contrib/PedestrianDetection/pedestrian.json
|
|
with_background: false
|