-
Notifications
You must be signed in to change notification settings - Fork 7
Description
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:
- 512
- 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