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Published 20 hours ago • verified publisher icon lbin

I can only get a map of 22.8

Open kike-0304 opened this issue 4 years ago • 0 comments

On resnet18, I didn't change any configuration files. I just got a 22.8 map.

My config: CUDNN_BENCHMARK: false DATALOADER: ASPECT_RATIO_GROUPING: true FILTER_EMPTY_ANNOTATIONS: true NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: [] PROPOSAL_FILES_TRAIN: [] TEST:

  • coco_2017_val TRAIN:
  • coco_2017_train GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: false SIZE:
    • 0.9
    • 0.9 TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 0 MIN_SIZE_TRAIN:
  • 640
  • 672
  • 704
  • 736
  • 768
  • 800 MIN_SIZE_TRAIN_SAMPLING: choice RANDOM_FLIP: horizontal MODEL: ANCHOR_GENERATOR: ANGLES:
      • -90
      • 0
      • 90 ASPECT_RATIOS:
      • 0.5
      • 1.0
      • 2.0 NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES:
      • 32
      • 64
      • 128
      • 256
      • 512 BACKBONE: FREEZE_AT: 2 NAME: build_torch_backbone CENTERNET: BIAS_VALUE: -2.19 DECONV_CHANNEL:
    • 512
    • 256
    • 128
    • 64 DECONV_KERNEL:
    • 4
    • 4
    • 4 DOWN_SCALE: 4 IN_FEATURES:
    • res5 LOSS: CLS_WEIGHT: 1 REG_WEIGHT: 1 WH_WEIGHT: 0.1 MIN_OVERLAP: 0.7 MODULATE_DEFORM: true NUM_CLASSES: 80 OUTPUT_SIZE:
    • 128
    • 128 TENSOR_DIM: 128 TEST_PIPELINES: [] TRAIN_PIPELINES:
      • CenterAffine
      • boarder: 128 output_size:
        • 512
        • 512 random_aug: true
      • RandomFlip
      • {}
      • RandomBrightness
      • intensity_max: 1.4 intensity_min: 0.6
      • RandomContrast
      • intensity_max: 1.4 intensity_min: 0.6
      • RandomSaturation
      • intensity_max: 1.4 intensity_min: 0.6
      • RandomLighting
      • scale: 0.1 DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES:
    • res3
    • res4
    • res5 NORM: '' OUT_CHANNELS: 256 KEYPOINT_ON: false LOAD_PROPOSALS: false MASK_ON: false META_ARCHITECTURE: CenterNet PANOPTIC_FPN: COMBINE: ENABLED: true INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN:
  • 0.485
  • 0.456
  • 0.406 PIXEL_STD:
  • 0.229
  • 0.224
  • 0.225 PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: DEFORM_MODULATED: false DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE:
    • false
    • false
    • false
    • false DEPTH: 18 NORM: FrozenBN NUM_GROUPS: 1 OUT_FEATURES:
    • res5 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: true WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_WEIGHTS: &id001
    • 1.0
    • 1.0
    • 1.0
    • 1.0 FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES:
    • p3
    • p4
    • p5
    • p6
    • p7 IOU_LABELS:
    • 0
    • -1
    • 1 IOU_THRESHOLDS:
    • 0.4
    • 0.5 NMS_THRESH_TEST: 0.5 NORM: '' NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS:
      • 10.0
      • 10.0
      • 5.0
      • 5.0
      • 20.0
      • 20.0
      • 10.0
      • 10.0
      • 30.0
      • 30.0
      • 15.0
      • 15.0 IOUS:
    • 0.5
    • 0.6
    • 0.7 ROI_BOX_HEAD: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS:
    • 10.0
    • 10.0
    • 5.0
    • 5.0 CLS_AGNOSTIC_BBOX_REG: false CONV_DIM: 256 FC_DIM: 1024 NAME: '' NORM: '' NUM_CONV: 0 NUM_FC: 0 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: false ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES:
    • res4 IOU_LABELS:
    • 0
    • 1 IOU_THRESHOLDS:
    • 0.5 NAME: Res5ROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: true SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS:
    • 512
    • 512
    • 512
    • 512
    • 512
    • 512
    • 512
    • 512 LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: false CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: '' NUM_CONV: 0 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: *id001 BOUNDARY_THRESH: -1 CONV_DIMS:
    • -1 HEAD_NAME: StandardRPNHead IN_FEATURES:
    • res4 IOU_LABELS:
    • 0
    • -1
    • 1 IOU_THRESHOLDS:
    • 0.3
    • 0.7 LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 6000 PRE_NMS_TOPK_TRAIN: 12000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES:
    • p2
    • p3
    • p4
    • p5 LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: ./output/model_0094999.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: AMP: ENABLED: false BASE_LR: 0.002 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: false NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 32 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 126000 MOMENTUM: 0.9 NESTEROV: false REFERENCE_WORLD_SIZE: 0 STEPS:
  • 81000
  • 108000 WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: false FLIP: true MAX_SIZE: 4000 MIN_SIZES:
    • 400
    • 500
    • 600
    • 700
    • 800
    • 900
    • 1000
    • 1100
    • 1200 DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: false NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0

kike-0304 avatar Sep 01 '21 08:09 kike-0304