/
CondInst.yaml
503 lines (503 loc) · 8.8 KB
/
CondInst.yaml
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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:
- AniSeg
TRAIN:
- AniSeg
GLOBAL:
HACK: 1.0
INPUT:
CROP:
CROP_INSTANCE: true
ENABLED: false
SIZE:
- 0.9
- 0.9
TYPE: relative_range
FORMAT: BGR
HFLIP_TRAIN: true
MASK_FORMAT: polygon
MAX_SIZE_TEST: 1333
MAX_SIZE_TRAIN: 1440
MIN_SIZE_TEST: 800
MIN_SIZE_TRAIN:
- 1000
- 1100
MIN_SIZE_TRAIN_SAMPLING: choice
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:
ANTI_ALIAS: false
FREEZE_AT: 2
NAME: build_fcos_resnet_bifpn_backbone
BASIS_MODULE:
ANN_SET: coco
COMMON_STRIDE: 8
CONVS_DIM: 128
IN_FEATURES:
- p3
- p4
- p5
LOSS_ON: false
LOSS_WEIGHT: 0.3
NAME: ProtoNet
NORM: SyncBN
NUM_BASES: 4
NUM_CLASSES: 1
NUM_CONVS: 3
BATEXT:
CANONICAL_SIZE: 96
CONV_DIM: 256
IN_FEATURES:
- p2
- p3
- p4
NUM_CHARS: 25
NUM_CONV: 2
POOLER_RESOLUTION:
- 8
- 32
POOLER_SCALES:
- 0.25
- 0.125
- 0.0625
RECOGNITION_LOSS: ctc
RECOGNIZER: attn
SAMPLING_RATIO: 1
VOC_SIZE: 96
BLENDMASK:
ATTN_SIZE: 14
BOTTOM_RESOLUTION: 56
INSTANCE_LOSS_WEIGHT: 1.0
POOLER_SAMPLING_RATIO: 1
POOLER_SCALES:
- 0.25
POOLER_TYPE: ROIAlignV2
TOP_INTERP: bilinear
VISUALIZE: false
BiFPN:
IN_FEATURES:
- res3
- res4
- res5
NORM: SyncBN
NUM_REPEATS: 6
OUT_CHANNELS: 160
CONDINST:
MASK_BRANCH:
CHANNELS: 128
IN_FEATURES:
- p3
- p4
- p5
NORM: BN
NUM_CONVS: 4
OUT_CHANNELS: 8
SEMANTIC_LOSS_ON: true
MASK_HEAD:
CHANNELS: 8
DISABLE_REL_COORDS: false
NUM_LAYERS: 3
USE_FP16: false
MASK_OUT_STRIDE: 2
MAX_PROPOSALS: 500
DEVICE: cuda
DLA:
CONV_BODY: DLA34
NORM: FrozenBN
OUT_FEATURES:
- stage2
- stage3
- stage4
- stage5
FCOS:
CENTER_SAMPLE: true
FPN_STRIDES:
- 8
- 16
- 32
- 64
- 128
INFERENCE_TH_TEST: 0.05
INFERENCE_TH_TRAIN: 0.05
IN_FEATURES:
- p3
- p4
- p5
- p6
- p7
LOC_LOSS_TYPE: giou
LOSS_ALPHA: 0.25
LOSS_GAMMA: 2.0
NMS_TH: 0.6
NORM: GN
NUM_BOX_CONVS: 4
NUM_CLASSES: 1
NUM_CLS_CONVS: 4
NUM_SHARE_CONVS: 0
POST_NMS_TOPK_TEST: 100
POST_NMS_TOPK_TRAIN: 100
POS_RADIUS: 1.5
PRE_NMS_TOPK_TEST: 1000
PRE_NMS_TOPK_TRAIN: 1000
PRIOR_PROB: 0.01
SIZES_OF_INTEREST:
- 64
- 128
- 256
- 512
THRESH_WITH_CTR: true
TOP_LEVELS: 2
USE_DEFORMABLE: false
USE_RELU: true
USE_SCALE: true
YIELD_PROPOSAL: false
FPN:
FUSE_TYPE: sum
IN_FEATURES:
- res3
- res4
- res5
NORM: ''
OUT_CHANNELS: 256
KEYPOINT_ON: false
LOAD_PROPOSALS: false
MASK_ON: true
MEInst:
AGNOSTIC: true
CENTER_SAMPLE: true
DIM_MASK: 60
FLAG_PARAMETERS: false
FPN_STRIDES:
- 8
- 16
- 32
- 64
- 128
GCN_KERNEL_SIZE: 9
INFERENCE_TH_TEST: 0.05
INFERENCE_TH_TRAIN: 0.05
IN_FEATURES:
- p3
- p4
- p5
- p6
- p7
IOU_LABELS:
- 0
- 1
IOU_THRESHOLDS:
- 0.5
LAST_DEFORMABLE: false
LOC_LOSS_TYPE: giou
LOSS_ALPHA: 0.25
LOSS_GAMMA: 2.0
LOSS_ON_MASK: false
MASK_LOSS_TYPE: mse
MASK_ON: true
MASK_SIZE: 28
NMS_TH: 0.6
NORM: GN
NUM_BOX_CONVS: 4
NUM_CLASSES: 1
NUM_CLS_CONVS: 4
NUM_MASK_CONVS: 4
NUM_SHARE_CONVS: 0
PATH_COMPONENTS: datasets/coco/components/coco_2017_train_class_agnosticTrue_whitenTrue_sigmoidTrue_60.npz
POST_NMS_TOPK_TEST: 100
POST_NMS_TOPK_TRAIN: 100
POS_RADIUS: 1.5
PRE_NMS_TOPK_TEST: 1000
PRE_NMS_TOPK_TRAIN: 1000
PRIOR_PROB: 0.01
SIGMOID: true
SIZES_OF_INTEREST:
- 64
- 128
- 256
- 512
THRESH_WITH_CTR: false
TOP_LEVELS: 2
TYPE_DEFORMABLE: DCNv1
USE_DEFORMABLE: false
USE_GCN_IN_MASK: false
USE_RELU: true
USE_SCALE: true
WHITEN: true
META_ARCHITECTURE: CondInst
MOBILENET: false
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:
- 103.53
- 116.28
- 123.675
PIXEL_STD:
- 1.0
- 1.0
- 1.0
PROPOSAL_GENERATOR:
MIN_SIZE: 0
NAME: FCOS
RESNETS:
DEFORM_INTERVAL: 1
DEFORM_MODULATED: false
DEFORM_NUM_GROUPS: 1
DEFORM_ON_PER_STAGE:
- false
- false
- false
- false
DEPTH: 50
NORM: FrozenBN
NUM_GROUPS: 1
OUT_FEATURES:
- res3
- res4
- res5
RES2_OUT_CHANNELS: 256
RES5_DILATION: 1
STEM_OUT_CHANNELS: 64
STRIDE_IN_1X1: true
WIDTH_PER_GROUP: 64
RETINANET:
BBOX_REG_WEIGHTS:
- 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
NUM_CLASSES: 1
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: 1
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:
- 1.0
- 1.0
- 1.0
- 1.0
BOUNDARY_THRESH: -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: 1
TOP_MODULE:
DIM: 16
NAME: conv
VOVNET:
BACKBONE_OUT_CHANNELS: 256
CONV_BODY: V-39-eSE
NORM: FrozenBN
OUT_CHANNELS: 256
OUT_FEATURES:
- stage2
- stage3
- stage4
- stage5
WEIGHTS: /content/model.pth
OUTPUT_DIR: /content/result
SEED: -1
SOLVER:
BASE_LR: 0.0001
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: 4
LR_SCHEDULER_NAME: WarmupMultiStepLR
MAX_ITER: 20000
MOMENTUM: 0.9
NESTEROV: false
REFERENCE_WORLD_SIZE: 0
STEPS:
- 15000
- 17000
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: true
FLIP: true
MAX_SIZE: 4000
MIN_SIZES:
- 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