alphapose / 256x192_res152_lr1e-3_1x-duc.yaml
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DATASET:
TRAIN:
TYPE: 'Mscoco'
ROOT: './data/coco/'
IMG_PREFIX: 'train2017'
ANN: 'annotations/person_keypoints_train2017.json'
AUG:
FLIP: true
ROT_FACTOR: 40
SCALE_FACTOR: 0.3
NUM_JOINTS_HALF_BODY: 8
PROB_HALF_BODY: -1
VAL:
TYPE: 'Mscoco'
ROOT: './data/coco/'
IMG_PREFIX: 'val2017'
ANN: 'annotations/person_keypoints_val2017.json'
TEST:
TYPE: 'Mscoco_det'
ROOT: './data/coco/'
IMG_PREFIX: 'val2017'
DET_FILE: './exp/json/test_det_yolo.json'
ANN: 'annotations/person_keypoints_val2017.json'
DATA_PRESET:
TYPE: 'simple'
SIGMA: 2
NUM_JOINTS: 17
IMAGE_SIZE:
- 256
- 192
HEATMAP_SIZE:
- 64
- 48
MODEL:
TYPE: 'FastPose_DUC'
BACKBONE: 'se-resnet'
PRETRAINED: ''
TRY_LOAD: ''
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_LAYERS: 152
FINAL_CONV_KERNEL: 1
STAGE1:
NUM_CONV: 4
STAGE2:
NUM_CONV: 2
STAGE3:
NUM_CONV: 1
LOSS:
TYPE: 'MSELoss'
DETECTOR:
NAME: 'yolo'
CONFIG: 'detector/yolo/cfg/yolov3-spp.cfg'
WEIGHTS: 'detector/yolo/data/yolov3-spp.weights'
NMS_THRES: 0.6
CONFIDENCE: 0.05
TRAIN:
WORLD_SIZE: 4
BATCH_SIZE: 32
BEGIN_EPOCH: 0
END_EPOCH: 200
OPTIMIZER: 'adam'
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 90
- 120
DPG_MILESTONE: 140
DPG_STEP:
- 160
- 190