lower mAP about lite-hrnet HOT 1 OPEN

config.yaml 内容如下：

AUTO_RESUME: true
CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
DATA_DIR: ''
GPUS: (0,1)
OUTPUT_DIR: 'LiteHRNet_w18_output'
LOG_DIR: 'LiteHRNet_w18_log'
WORKERS: 8
PRINT_FREQ: 300

DATASET:
COLOR_RGB: false
DATASET: 'coco'
ROOT: '/mnt/share/COCO/'
TEST_SET: 'val2017'
TRAIN_SET: 'train2017'
NUM_JOINTS_HALF_BODY: 8
PROB_HALF_BODY: 0.3
FLIP: true
ROT_FACTOR: 45
SCALE_FACTOR: 0.35
MODEL:
NAME: 'LiteHRNet'
MODEL_FILE: ''
INIT_WEIGHTS: true
IMAGE_SIZE:

• 256
• 256
  HEATMAP_SIZE:
• 64
• 64
  SIGMA: 2
  NUM_JOINTS: 17
  BASE_CHANNEL: 40
  TARGET_TYPE: 'gaussian'
  RATIO: 0.5
  NUM_STAGES: 3
  STAGE_REPEATS:
• 2
• 4
• 2
  STAGE_BRANCHES:
• 2
• 3
• 4
  STAGE_BLOCKS:
• 2
• 2
• 2
  MODULE_TYPE:
• 'LITE'
• 'LITE'
• 'LITE'
  WITH_FUSE:
• True
• True
• True
  REDUCE_RATIOS:
• 8
• 8
• 8
  WITH_HEAD: True

LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE_PER_GPU: 32
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 210
OPTIMIZER: 'adam'
LR: 0.002
LR_FACTOR: 0.1
LR_STEP:

• 160
• 190
  WD: 0.0001
  GAMMA1: 0.99
  GAMMA2: 0.0
  MOMENTUM: 0.9
  NESTEROV: false
  TEST:
  BATCH_SIZE_PER_GPU: 32
  COCO_BBOX_FILE: '/mnt/share/COCO/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
  BBOX_THRE: 1.0
  IMAGE_THRE: 0.0
  IN_VIS_THRE: 0.2
  MODEL_FILE: 'LiteHRNet_w18_output/coco/LiteHRNet/LiteHRNet_w18_256x256_coco_better_lr1e-3/model_best.pth'
  NMS_THRE: 1.0
  OKS_THRE: 0.9
  FLIP_TEST: true
  POST_PROCESS: true
  BLUR_KERNEL: 11
  USE_GT_BBOX: true
  DEBUG:
  DEBUG: true
  SAVE_BATCH_IMAGES_GT: true
  SAVE_BATCH_IMAGES_PRED: true
  SAVE_HEATMAPS_GT: false
  SAVE_HEATMAPS_PRED: false

from lite-hrnet.