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Detic_SwinB_LVIS.yaml
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CUDNN_BENCHMARK: false
DATALOADER:
ASPECT_RATIO_GROUPING: true
DATASET_ANN:
- box
- image
DATASET_BS:
- 4
- 16
DATASET_INPUT_SCALE:
- - 0.1
- 2.0
- - 0.5
- 1.5
DATASET_INPUT_SIZE:
- 896
- 448
DATASET_MAX_SIZES:
- 1333
- 667
DATASET_MIN_SIZES:
- - 640
- 800
- - 320
- 400
DATASET_RATIO:
- 1
- 4
FILTER_EMPTY_ANNOTATIONS: false
MULTI_DATASET_GROUPING: true
NUM_WORKERS: 8
REPEAT_THRESHOLD: 0.001
SAMPLER_TRAIN: MultiDatasetSampler
TARFILE_PATH: datasets/imagenet/metadata-22k/tar_files.npy
TAR_INDEX_DIR: datasets/imagenet/metadata-22k/tarindex_npy
USE_DIFF_BS_SIZE: true
USE_RFS:
- true
- false
USE_TAR_DATASET: false
DATASETS:
PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
PROPOSAL_FILES_TEST: []
PROPOSAL_FILES_TRAIN: []
TEST:
- lvis_v1_val
TRAIN:
- lvis_v1_train_norare
- imagenet_lvis_v1
DEBUG: false
DEBUG_SHOW_NAME: false
EVAL_AP_FIX: false
EVAL_CAT_SPEC_AR: false
EVAL_PRED_AR: false
EVAL_PROPOSAL_AR: false
FIND_UNUSED_PARAM: true
FP16: true
GEN_PSEDO_LABELS: false
GLOBAL:
HACK: 1.0
INPUT:
CROP:
ENABLED: false
SIZE:
- 0.9
- 0.9
TYPE: relative_range
CUSTOM_AUG: EfficientDetResizeCrop
FORMAT: RGB
MASK_FORMAT: polygon
MAX_SIZE_TEST: 1333
MAX_SIZE_TRAIN: 1333
MIN_SIZE_TEST: 800
MIN_SIZE_TRAIN:
- 800
MIN_SIZE_TRAIN_SAMPLING: choice
NOT_CLAMP_BOX: false
RANDOM_FLIP: horizontal
SCALE_RANGE:
- 0.1
- 2.0
TEST_INPUT_TYPE: default
TEST_SIZE: 640
TRAIN_SIZE: 640
IS_DEBUG: false
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_swintransformer_fpn_backbone
BIFPN:
NORM: GN
NUM_BIFPN: 6
NUM_LEVELS: 5
OUT_CHANNELS: 160
SEPARABLE_CONV: false
CAP_BATCH_RATIO: 4
CENTERNET:
AS_PROPOSAL: false
CENTER_NMS: false
FPN_STRIDES:
- 8
- 16
- 32
- 64
- 128
HM_FOCAL_ALPHA: 0.25
HM_FOCAL_BETA: 4
HM_MIN_OVERLAP: 0.8
IGNORE_HIGH_FP: 0.85
INFERENCE_TH: 0.0001
IN_FEATURES:
- p3
- p4
- p5
- p6
- p7
LOC_LOSS_TYPE: giou
LOSS_GAMMA: 2.0
MIN_RADIUS: 4
MORE_POS: false
MORE_POS_THRESH: 0.2
MORE_POS_TOPK: 9
NEG_WEIGHT: 0.5
NMS_TH_TEST: 0.9
NMS_TH_TRAIN: 0.9
NORM: GN
NOT_NMS: false
NOT_NORM_REG: true
NO_REDUCE: false
NUM_BOX_CONVS: 4
NUM_CLASSES: 1203
NUM_CLS_CONVS: 4
NUM_SHARE_CONVS: 0
ONLY_PROPOSAL: true
POST_NMS_TOPK_TEST: 256
POST_NMS_TOPK_TRAIN: 2000
POS_WEIGHT: 0.5
PRE_NMS_TOPK_TEST: 1000
PRE_NMS_TOPK_TRAIN: 4000
PRIOR_PROB: 0.01
REG_WEIGHT: 1.0
SIGMOID_CLAMP: 0.0001
SOI:
- - 0
- 80
- - 64
- 160
- - 128
- 320
- - 256
- 640
- - 512
- 10000000
USE_DEFORMABLE: false
WITH_AGN_HM: true
DATASET_LOSS_WEIGHT: []
DETR:
CLS_WEIGHT: 2.0
DEC_LAYERS: 6
DEEP_SUPERVISION: true
DIM_FEEDFORWARD: 2048
DROPOUT: 0.1
ENC_LAYERS: 6
FOCAL_ALPHA: 0.25
FROZEN_WEIGHTS: ''
GIOU_WEIGHT: 2.0
HIDDEN_DIM: 256
L1_WEIGHT: 5.0
NHEADS: 8
NO_OBJECT_WEIGHT: 0.1
NUM_CLASSES: 80
NUM_FEATURE_LEVELS: 4
NUM_OBJECT_QUERIES: 100
PRE_NORM: false
TWO_STAGE: false
USE_FED_LOSS: false
WEAK_WEIGHT: 0.1
WITH_BOX_REFINE: false
DEVICE: cuda
DLA:
DLAUP_IN_FEATURES:
- dla3
- dla4
- dla5
DLAUP_NODE: conv
MS_OUTPUT: false
NORM: BN
NUM_LAYERS: 34
OUT_FEATURES:
- dla2
USE_DLA_UP: true
DYNAMIC_CLASSIFIER: false
FPN:
FUSE_TYPE: sum
IN_FEATURES:
- swin1
- swin2
- swin3
NORM: ''
OUT_CHANNELS: 256
KEYPOINT_ON: false
LOAD_PROPOSALS: false
MASK_ON: true
META_ARCHITECTURE: CustomRCNN
NUM_SAMPLE_CATS: 50
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:
- 123.675
- 116.28
- 103.53
PIXEL_STD:
- 58.395
- 57.12
- 57.375
PROPOSAL_GENERATOR:
MIN_SIZE: 0
NAME: CenterNet
RESET_CLS_TESTS: false
RESNETS:
DEFORM_MODULATED: false
DEFORM_NUM_GROUPS: 1
DEFORM_ON_PER_STAGE:
- false
- false
- false
- false
DEPTH: 50
NORM: FrozenBN
NUM_GROUPS: 1
OUT_FEATURES:
- res4
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: &id002
- 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:
- &id001
- 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:
- 0.6
- 0.7
- 0.8
ROI_BOX_HEAD:
ADD_FEATURE_TO_PROP: false
ADD_IMAGE_BOX: false
BBOX_REG_LOSS_TYPE: smooth_l1
BBOX_REG_LOSS_WEIGHT: 1.0
BBOX_REG_WEIGHTS: *id001
CAPTION_WEIGHT: 1.0
CAT_FREQ_PATH: datasets/metadata/lvis_v1_train_cat_info.json
CLS_AGNOSTIC_BBOX_REG: true
CONV_DIM: 256
EQL_FREQ_CAT: 200
FC_DIM: 1024
FED_LOSS_FREQ_WEIGHT: 0.5
FED_LOSS_FREQ_WEIGHT_POWER: 0.5
FED_LOSS_NUM_CAT: 50
FED_LOSS_NUM_CLASSES: 50
IGNORE_ZERO_CATS: false
IMAGE_BOX_SIZE: 1.0
IMAGE_LABEL_LOSS: max_size
IMAGE_LOSS_WEIGHT: 0.1
MULT_PROPOSAL_SCORE: true
NAME: FastRCNNConvFCHead
NEG_CAP_WEIGHT: 0.125
NORM: ''
NORM_TEMP: 50.0
NORM_WEIGHT: true
NUM_CONV: 0
NUM_FC: 2
POOLER_RESOLUTION: 7
POOLER_SAMPLING_RATIO: 0
POOLER_TYPE: ROIAlignV2
PRIOR_PROB: 0.01
SMOOTH_L1_BETA: 0.0
SOFTMAX_WEAK_LOSS: false
TRAIN_ON_PRED_BOXES: false
USE_BIAS: 0.0
USE_EQL_LOSS: false
USE_FED_LOSS: true
USE_SIGMOID_CE: true
USE_ZEROSHOT_CLS: true
WITH_SOFTMAX_PROP: false
WS_NUM_PROPS: 128
DETECTION_WEIGHT_PATH: datasets/metadata/detic_lvis_v1_clip_a+cname.npy
ZEROSHOT_WEIGHT_DIM: 512
ZEROSHOT_WEIGHT_PATH: datasets/metadata/detic_lvis_v1_clip_a+cname.npy
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 512
IN_FEATURES:
- p3
- p4
- p5
IOU_LABELS:
- 0
- 1
IOU_THRESHOLDS:
- 0.6
MASK_WEIGHT: 1.0
NAME: AggdetCascadeROIHeads
NMS_THRESH_TEST: 0.5
NUM_CLASSES: 1203
ONE_CLASS_PER_PROPOSAL: false
POSITIVE_FRACTION: 0.25
PROPOSAL_APPEND_GT: true
SCORE_THRESH_TEST: 0.02
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: true
CONV_DIM: 256
NAME: MaskRCNNConvUpsampleHead
NORM: ''
NUM_CONV: 4
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: *id002
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
SWIN:
OUT_FEATURES:
- 1
- 2
- 3
SIZE: B-22k
USE_CHECKPOINT: false
SYNC_CAPTION_BATCH: false
TEST_CLASSIFIERS: []
TEST_NUM_CLASSES: []
TIMM:
BASE_NAME: resnet50_in21k
FREEZE_AT: 0
NORM: FrozenBN
OUT_LEVELS:
- 3
- 4
- 5
PRETRAINED: false
WEIGHTS: ckpt/models/Detic_LbaseI_CLIP_SwinB_896b32_4x_ft4x_max-size.pth
WITH_CAPTION: false
OVERLAP_TOPK: 3
ALPHA: 0.01
BETA: 0.6667
VISUAL_PROTOTYPE: datasets/prototypes/Detic_LVIS_SWINB.npy
CATEGORIES_INFO: datasets/metadata/lvis_categories_info.json
OUTPUT_DIR: ./output/Detic/Detic_LbaseI_CLIP_SwinB_896b32_4x_ft4x_max-size
QUICK_DEBUG: false
SAVE_DEBUG: false
SAVE_DEBUG_PATH: output/save_debug/
SAVE_PTH: false
SEED: -1
SOLVER:
AMP:
ENABLED: false
BACKBONE_MULTIPLIER: 1.0
BASE_LR: 0.0001
BASE_LR_END: 0.0
BIAS_LR_FACTOR: 1.0
CHECKPOINT_PERIOD: 1000000000
CLIP_GRADIENTS:
CLIP_TYPE: value
CLIP_VALUE: 1.0
ENABLED: true
NORM_TYPE: 2.0
CUSTOM_MULTIPLIER: 1.0
CUSTOM_MULTIPLIER_NAME: []
GAMMA: 0.1
IMS_PER_BATCH: 32
LR_SCHEDULER_NAME: WarmupCosineLR
MAX_ITER: 180000
MOMENTUM: 0.9
NESTEROV: false
NUM_DECAYS: 3
OPTIMIZER: ADAMW
REFERENCE_WORLD_SIZE: 0
RESCALE_INTERVAL: false
RESET_ITER: false
STEPS:
- 30000
TRAIN_ITER: -1
USE_CUSTOM_SOLVER: true
WARMUP_FACTOR: 0.001
WARMUP_ITERS: 1000
WARMUP_METHOD: linear
WEIGHT_DECAY: 0.0001
WEIGHT_DECAY_BIAS: null
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: 300
EVAL_PERIOD: 0
EXPECTED_RESULTS: []
KEYPOINT_OKS_SIGMAS: []
PRECISE_BN:
ENABLED: false
NUM_ITER: 200
VERSION: 2
VIS_PERIOD: 0
VIS_THRESH: 0.3
WITH_IMAGE_LABELS: true