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After running this command, it gets stuck here and doesn't move. #15

@Zz9468

Description

@Zz9468

python demo/demo.py --config-file configs/OVMono3D_dinov2_SFP.yaml
--input-folder datasets/coco_examples
--labels-file datasets/coco_examples/labels.json
--threshold 0.45
MODEL.ROI_HEADS.NAME ROIHeads3DGDINO
MODEL.WEIGHTS checkpoints/ovmono3d_lift.pth
OUTPUT_DIR output/coco_examples
After running this command, it gets stuck here and doesn't move.

===============================================================================================
(ovmono3d) zhou@zhou:~/ovmono3d-main$ python demo/demo.py --config-file configs/OVMono3D_dinov2_SFP.yaml --input-folder datasets/coco_examples --labels-file datasets/coco_examples/labels.json --threshold 0.45 MODEL.ROI_HEADS.NAME ROIHeads3DGDINO MODEL.WEIGHTS checkpoints/ovmono3d_lift.pth OUTPUT_DIR output/coco_examples
/home/zhou/anaconda3/envs/ovmono3d/lib/python3.8/site-packages/timm/models/layers/init.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
Command Line Args: Namespace(config_file='configs/OVMono3D_dinov2_SFP.yaml', display=False, dist_url='tcp://127.0.0.1:50152', eval_only=True, focal_length=0, input_folder='datasets/coco_examples', labels_file='datasets/coco_examples/labels.json', machine_rank=0, num_gpus=1, num_machines=1, opts=['MODEL.ROI_HEADS.NAME', 'ROIHeads3DGDINO', 'MODEL.WEIGHTS', 'checkpoints/ovmono3d_lift.pth', 'OUTPUT_DIR', 'output/coco_examples'], principal_point=[], threshold=0.45)
[03/29 20:11:26 detectron2]: Rank of current process: 0. World size: 1
[03/29 20:11:27 detectron2]: Environment info:


sys.platform linux
Python 3.8.20 (default, Oct 3 2024, 15:24:27) [GCC 11.2.0]
numpy 1.24.3
detectron2 0.6 @/home/zhou/anaconda3/envs/ovmono3d/lib/python3.8/site-packages/detectron2
Compiler GCC 9.4
CUDA compiler CUDA 12.1
detectron2 arch flags 8.9
DETECTRON2_ENV_MODULE
PyTorch 2.4.1 @/home/zhou/anaconda3/envs/ovmono3d/lib/python3.8/site-packages/torch
PyTorch debug build False
torch._C._GLIBCXX_USE_CXX11_ABI False
GPU available Yes
GPU 0 NVIDIA GeForce RTX 4070 (arch=8.9)
Driver version 570.133.07
CUDA_HOME /usr/local/cuda
Pillow 10.4.0
torchvision 0.19.1 @/home/zhou/anaconda3/envs/ovmono3d/lib/python3.8/site-packages/torchvision
torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0
fvcore 0.1.5.post20221221
iopath 0.1.9
cv2 4.11.0


PyTorch built with:

  • GCC 9.3
  • C++ Version: 201703
  • Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
  • Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67)
  • OpenMP 201511 (a.k.a. OpenMP 4.5)
  • LAPACK is enabled (usually provided by MKL)
  • NNPACK is enabled
  • CPU capability usage: AVX2
  • CUDA Runtime 12.1
  • NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90
  • CuDNN 90.1 (built against CUDA 12.4)
  • Magma 2.6.1
  • Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.4.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,

[03/29 20:11:27 detectron2]: Command line arguments: Namespace(config_file='configs/OVMono3D_dinov2_SFP.yaml', display=False, dist_url='tcp://127.0.0.1:50152', eval_only=True, focal_length=0, input_folder='datasets/coco_examples', labels_file='datasets/coco_examples/labels.json', machine_rank=0, num_gpus=1, num_machines=1, opts=['MODEL.ROI_HEADS.NAME', 'ROIHeads3DGDINO', 'MODEL.WEIGHTS', 'checkpoints/ovmono3d_lift.pth', 'OUTPUT_DIR', 'output/coco_examples'], principal_point=[], threshold=0.45)
[03/29 20:11:27 detectron2]: Contents of args.config_file=configs/OVMono3D_dinov2_SFP.yaml:
BASE: "Base.yaml"
SOLVER:
TYPE: "sgd"
IMS_PER_BATCH: 192
BASE_LR: 0.12
STEPS: (69600, 92800)
MAX_ITER: 116000
WARMUP_ITERS: 3625
INPUT:
MIN_SIZE_TRAIN: (280, 308, 336, 364, 392, 420, 448, 476, 504, 532, 560, 588, 616, 644, 672, 700, 728, 756, 784, 812, 840, 868, 896, 924, 952, 980, 1008,)
MIN_SIZE_TEST: 532
MAX_SIZE_TRAIN: 896
MAX_SIZE_TEST: 896
FORMAT: "RGB"
TEST:
EVAL_PERIOD: 29000
VIS_PERIOD: 2320
DATASETS:
TRAIN: ('SUNRGBD_train', 'SUNRGBD_val', 'Hypersim_train', 'Hypersim_val', 'ARKitScenes_train', 'ARKitScenes_val', 'Objectron_train', 'Objectron_val', 'nuScenes_train', 'nuScenes_val', 'KITTI_train', 'KITTI_val')
TEST: ('SUNRGBD_test', 'Hypersim_test', 'ARKitScenes_test', 'Objectron_test', 'KITTI_test', 'nuScenes_test')
CATEGORY_NAMES: ('chair', 'table', 'cabinet', 'car', 'lamp', 'books', 'sofa', 'pedestrian', 'picture', 'window', 'pillow', 'truck', 'door', 'blinds', 'sink', 'shelves', 'television', 'shoes', 'cup', 'bottle', 'bookcase', 'laptop', 'desk', 'cereal box', 'floor mat', 'traffic cone', 'mirror', 'barrier', 'counter', 'camera', 'bicycle', 'toilet', 'bus', 'bed', 'refrigerator', 'trailer', 'box', 'oven', 'clothes', 'van', 'towel', 'motorcycle', 'night stand', 'stove', 'machine', 'stationery', 'bathtub', 'cyclist', 'curtain', 'bin')
MODEL:
PIXEL_MEAN: [123.675, 116.280, 103.530]
PIXEL_STD: [58.395, 57.120, 57.375] # changed to rgb order
BACKBONE:
FREEZE_AT: 0
NAME: 'build_dino_backbone'
DINO:
NAME: 'dinov2'
MODEL_NAME: 'vitb14'
OUTPUT: 'dense'
LAYER: -1
RETURN_MULTILAYER: False
FPN:
IN_FEATURE: 'last_feat'
NORM: 'LN'
SQUARE_PAD: 896
ANCHOR_GENERATOR:
SIZES: [[64], [256], [512]]
RPN:
IN_FEATURES: ['p2', 'p3', 'p4']
ROI_HEADS:
NUM_CLASSES: 50
IN_FEATURES: ['p2', 'p3', 'p4']

[03/29 20:11:27 detectron2]: Running with full config:
CUDNN_BENCHMARK: false
DATALOADER:
ASPECT_RATIO_GROUPING: true
BALANCE_DATASETS: false
FILTER_EMPTY_ANNOTATIONS: true
NUM_WORKERS: 4
REPEAT_SQRT: true
REPEAT_THRESHOLD: 0.1
SAMPLER_TRAIN: RepeatFactorTrainingSampler
DATASETS:
CATEGORY_NAMES:

  • chair
  • table
  • cabinet
  • car
  • lamp
  • books
  • sofa
  • pedestrian
  • picture
  • window
  • pillow
  • truck
  • door
  • blinds
  • sink
  • shelves
  • television
  • shoes
  • cup
  • bottle
  • bookcase
  • laptop
  • desk
  • cereal box
  • floor mat
  • traffic cone
  • mirror
  • barrier
  • counter
  • camera
  • bicycle
  • toilet
  • bus
  • bed
  • refrigerator
  • trailer
  • box
  • oven
  • clothes
  • van
  • towel
  • motorcycle
  • night stand
  • stove
  • machine
  • stationery
  • bathtub
  • cyclist
  • curtain
  • bin
    CATEGORY_NAMES_BASE:
  • chair
  • table
  • cabinet
  • car
  • lamp
  • books
  • sofa
  • pedestrian
  • picture
  • window
  • pillow
  • truck
  • door
  • blinds
  • sink
  • shelves
  • television
  • shoes
  • cup
  • bottle
  • bookcase
  • laptop
  • desk
  • cereal box
  • floor mat
  • traffic cone
  • mirror
  • barrier
  • counter
  • camera
  • bicycle
  • toilet
  • bus
  • bed
  • refrigerator
  • trailer
  • box
  • oven
  • clothes
  • van
  • towel
  • motorcycle
  • night stand
  • stove
  • machine
  • stationery
  • bathtub
  • cyclist
  • curtain
  • bin
    CATEGORY_NAMES_NOVEL:
  • monitor
  • bag
  • dresser
  • board
  • printer
  • keyboard
  • painting
  • drawers
  • microwave
  • computer
  • kitchen pan
  • potted plant
  • tissues
  • rack
  • tray
  • toys
  • phone
  • podium
  • cart
  • soundsystem
  • fireplace
  • tram
    IGNORE_NAMES:
  • dontcare
  • ignore
  • void
    MAX_DEPTH: 100000000.0
    MIN_HEIGHT_THRES: 0.05
    MODAL_2D_BOXES: false
    ORACLE2D_FILES:
    EVAL_MODE: target_aware
    previous_metric:
    base:
    ARKitScenes_test: datasets/Omni3D/gdino_previous_eval_arkitscenes_base_oracle_2d.json
    Hypersim_test: datasets/Omni3D/gdino_previous_eval_hypersim_base_oracle_2d.json
    KITTI_test: datasets/Omni3D/gdino_previous_eval_kitti_base_oracle_2d.json
    Objectron_test: datasets/Omni3D/gdino_previous_eval_objectron_base_oracle_2d.json
    SUNRGBD_test: datasets/Omni3D/gdino_previous_eval_sunrgbd_base_oracle_2d.json
    nuScenes_test: datasets/Omni3D/gdino_previous_eval_nuscenes_base_oracle_2d.json
    novel:
    ARKitScenes_test_novel: datasets/Omni3D/gdino_novel_previous_metric_arkitscenes_novel_oracle_2d.json
    KITTI_test_novel: datasets/Omni3D/gdino_novel_previous_metric_kitti_novel_oracle_2d.json
    SUNRGBD_test_novel: datasets/Omni3D/gdino_novel_previous_metric_sunrgbd_novel_oracle_2d.json
    target_aware:
    base:
    ARKitScenes_test: datasets/Omni3D/gdino_arkitscenes_base_oracle_2d.json
    Hypersim_test: datasets/Omni3D/gdino_hypersim_base_oracle_2d.json
    KITTI_test: datasets/Omni3D/gdino_kitti_base_oracle_2d.json
    Objectron_test: datasets/Omni3D/gdino_objectron_base_oracle_2d.json
    SUNRGBD_test: datasets/Omni3D/gdino_sunrgbd_base_oracle_2d.json
    nuScenes_test: datasets/Omni3D/gdino_nuscenes_base_oracle_2d.json
    novel:
    ARKitScenes_test_novel: datasets/Omni3D/gdino_arkitscenes_novel_oracle_2d.json
    KITTI_test_novel: datasets/Omni3D/gdino_kitti_novel_oracle_2d.json
    SUNRGBD_test_novel: datasets/Omni3D/gdino_sunrgbd_novel_oracle_2d.json
    PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
    PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
    PROPOSAL_FILES_TEST: []
    PROPOSAL_FILES_TRAIN: []
    TEST:
  • SUNRGBD_test
  • Hypersim_test
  • ARKitScenes_test
  • Objectron_test
  • KITTI_test
  • nuScenes_test
    TEST_BASE:
  • SUNRGBD_test
  • Hypersim_test
  • ARKitScenes_test
  • Objectron_test
  • KITTI_test
  • nuScenes_test
    TEST_NOVEL:
  • SUNRGBD_test_novel
  • ARKitScenes_test_novel
  • KITTI_test_novel
    TRAIN:
  • SUNRGBD_train
  • SUNRGBD_val
  • Hypersim_train
  • Hypersim_val
  • ARKitScenes_train
  • ARKitScenes_val
  • Objectron_train
  • Objectron_val
  • nuScenes_train
  • nuScenes_val
  • KITTI_train
  • KITTI_val
    TRUNCATION_THRES: 0.75
    TRUNC_2D_BOXES: true
    VISIBILITY_THRES: 0.25
    FLOAT32_PRECISION: ''
    GLOBAL:
    HACK: 1.0
    INPUT:
    CROP:
    ENABLED: false
    SIZE:
    • 0.9
    • 0.9
      TYPE: relative_range
      FORMAT: RGB
      MASK_FORMAT: polygon
      MAX_SIZE_TEST: 896
      MAX_SIZE_TRAIN: 896
      MIN_SIZE_TEST: 532
      MIN_SIZE_TRAIN:
  • 280
  • 308
  • 336
  • 364
  • 392
  • 420
  • 448
  • 476
  • 504
  • 532
  • 560
  • 588
  • 616
  • 644
  • 672
  • 700
  • 728
  • 756
  • 784
  • 812
  • 840
  • 868
  • 896
  • 924
  • 952
  • 980
  • 1008
    MIN_SIZE_TRAIN_SAMPLING: choice
    RANDOM_FLIP: horizontal
    TRAIN_SET_PERCENTAGE: 1.0
    MODEL:
    ANCHOR_GENERATOR:
    ANGLES:
      • -90
      • 0
      • 90
        ASPECT_RATIOS:
      • 0.5
      • 1.0
      • 2.0
        NAME: DefaultAnchorGenerator
        OFFSET: 0.0
        SIZES:
      • 64
      • 256
      • 512
        BACKBONE:
        FREEZE_AT: 0
        NAME: build_dino_backbone
        CLIP:
        ARCH: ViT-B-16
        CHECKPOINT: openai
        LAYER: -1
        OUTPUT: dense
        RETURN_MULTILAYER: false
        DEVICE: cuda
        DINO:
        LAYER: -1
        MODEL_NAME: vitb14
        NAME: dinov2
        OUTPUT: dense
        RETURN_MULTILAYER: false
        DLA:
        TRICKS: false
        TYPE: dla34
        FPN:
        FUSE_TYPE: sum
        IN_FEATURE: last_feat
        IN_FEATURES:
    • p2
    • p3
    • p4
    • p5
    • p6
      NORM: LN
      OUT_CHANNELS: 256
      SQUARE_PAD: 896
      KEYPOINT_ON: false
      LOAD_PROPOSALS: false
      MAE:
      CHECKPOINT: facebook/vit-mae-base
      LAYER: -1
      OUTPUT: dense
      RETURN_MULTILAYER: false
      MASK_ON: false
      META_ARCHITECTURE: RCNN3D
      MIDAS:
      LAYER: -1
      OUTPUT: dense
      RETURN_MULTILAYER: 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:
  • 123.675
  • 116.28
  • 103.53
    PIXEL_STD:
  • 58.395
  • 57.12
  • 57.375
    PROPOSAL_GENERATOR:
    MIN_SIZE: 0
    NAME: RPNWithIgnore
    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
      TORCHVISION: 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:
    • 0.5
    • 0.6
    • 0.7
      ROI_BOX_HEAD:
      BBOX_REG_LOSS_TYPE: smooth_l1
      BBOX_REG_LOSS_WEIGHT: 1.0
      BBOX_REG_WEIGHTS: *id001
      CLS_AGNOSTIC_BBOX_REG: false
      CONV_DIM: 256
      FC_DIM: 1024
      FED_LOSS_FREQ_WEIGHT_POWER: 0.5
      FED_LOSS_NUM_CLASSES: 50
      NAME: FastRCNNConvFCHead
      NORM: ''
      NUM_CONV: 0
      NUM_FC: 2
      POOLER_RESOLUTION: 7
      POOLER_SAMPLING_RATIO: 0
      POOLER_TYPE: ROIAlignV2
      SMOOTH_L1_BETA: 0.0
      TRAIN_ON_PRED_BOXES: false
      USE_FED_LOSS: false
      USE_SIGMOID_CE: false
      ROI_CUBE_HEAD:
      ALLOCENTRIC_POSE: true
      CHAMFER_POSE: true
      CLUSTER_BINS: 1
      CONV_DIM: 256
      DIMS_PRIORS_ENABLED: false
      DIMS_PRIORS_FUNC: exp
      DISENTANGLED_LOSS: true
      FC_DIM: 1024
      INVERSE_Z_WEIGHT: false
      LOSS_W_3D: 1.0
      LOSS_W_DIMS: 1.0
      LOSS_W_JOINT: 1.0
      LOSS_W_POSE: 1.0
      LOSS_W_XY: 1.0
      LOSS_W_Z: 1.0
      NAME: CubeHead
      NUM_CONV: 0
      NUM_FC: 2
      POOLER_RESOLUTION: 7
      POOLER_SAMPLING_RATIO: 0
      POOLER_TYPE: ROIAlignV2
      POSE_TYPE: 6d
      SCALE_ROI_BOXES: 0.0
      SHARED_FC: true
      USE_CONFIDENCE: 1.0
      USE_TRANSFORMER: false
      VIRTUAL_DEPTH: true
      VIRTUAL_FOCAL: 512.0
      Z_TYPE: direct
      ROI_HEADS:
      BATCH_SIZE_PER_IMAGE: 512
      IN_FEATURES:
    • p2
    • p3
    • p4
      IOU_LABELS:
    • 0
    • 1
      IOU_THRESHOLDS:
    • 0.5
      NAME: ROIHeads3DGDINO
      NMS_THRESH_TEST: 0.5
      NUM_CLASSES: 50
      POSITIVE_FRACTION: 0.25
      PROPOSAL_APPEND_GT: true
      SCORE_THRESH_TEST: 0.01
      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: *id002
      BOUNDARY_THRESH: -1
      CONV_DIMS:
    • -1
      HEAD_NAME: StandardRPNHead
      IGNORE_THRESHOLD: 0.5
      IN_FEATURES:
    • p2
    • p3
    • p4
      IOU_LABELS:
    • 0
    • -1
    • 1
      IOU_THRESHOLDS:
    • 0.05
    • 0.05
      LOSS_WEIGHT: 1.0
      NMS_THRESH: 0.7
      OBJECTNESS_UNCERTAINTY: IoUness
      POSITIVE_FRACTION: 1.0
      POST_NMS_TOPK_TEST: 1000
      POST_NMS_TOPK_TRAIN: 1000
      PRE_NMS_TOPK_TEST: 1000
      PRE_NMS_TOPK_TRAIN: 2000
      SMOOTH_L1_BETA: 0.0
      SAM:
      LAYER: -1
      OUTPUT: dense
      RETURN_MULTILAYER: false
      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
      STABILIZE: 0.02
      USE_BN: true
      WEIGHTS: checkpoints/ovmono3d_lift.pth
      WEIGHTS_PRETRAIN: ''
      OUTPUT_DIR: output/coco_examples
      SEED: -1
      SOLVER:
      AMP:
      ENABLED: false
      BASE_LR: 0.12
      BASE_LR_END: 0.0
      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: 192
      LR_SCHEDULER_NAME: WarmupMultiStepLR
      MAX_ITER: 116000
      MOMENTUM: 0.9
      NESTEROV: false
      NUM_DECAYS: 3
      REFERENCE_WORLD_SIZE: 0
      RESCALE_INTERVAL: false
      STEPS:
  • 69600
  • 92800
    TYPE: sgd
    WARMUP_FACTOR: 0.001
    WARMUP_ITERS: 3625
    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
      CAT_MODE: base
      DETECTIONS_PER_IMAGE: 100
      EVAL_PERIOD: 29000
      EXPECTED_RESULTS: []
      KEYPOINT_OKS_SIGMAS: []
      ORACLE2D: true
      PRECISE_BN:
      ENABLED: false
      NUM_ITER: 200
      TRUNCATION_THRES: 0.33333333
      VISIBILITY_THRES: 0.33333333
      VERSION: 2
      VIS_PERIOD: 2320

[03/29 20:11:27 detectron2]: Full config saved to output/coco_examples/config.yaml
[03/29 20:11:27 d2.utils.env]: Using a generated random seed 27542305

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