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model_weights/buildingsv1_best.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:061e1e613db507f4023fb91731cde779240793414d7a6477604ca9473bfa05c2
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+
size 254201166
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model_weights/buildingsv1_cfg.yaml
ADDED
@@ -0,0 +1,325 @@
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1 |
+
CUDNN_BENCHMARK: false
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+
DATALOADER:
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ASPECT_RATIO_GROUPING: true
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+
FILTER_EMPTY_ANNOTATIONS: true
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+
NUM_WORKERS: 2
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+
REPEAT_THRESHOLD: 0.0
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+
SAMPLER_TRAIN: TrainingSampler
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+
DATASETS:
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PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
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+
PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
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+
PROPOSAL_FILES_TEST: []
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PROPOSAL_FILES_TRAIN: []
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TEST:
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- trees_test
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TRAIN:
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- trees_train
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GLOBAL:
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HACK: 1.0
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INPUT:
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CROP:
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ENABLED: false
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SIZE:
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- 0.9
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- 0.9
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+
TYPE: relative_range
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FORMAT: BGR
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+
MASK_FORMAT: polygon
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+
MAX_SIZE_TEST: 1333
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+
MAX_SIZE_TRAIN: 1333
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+
MIN_SIZE_TEST: 800
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+
MIN_SIZE_TRAIN:
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- 640
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- 672
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- 704
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- 736
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- 768
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- 800
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MIN_SIZE_TRAIN_SAMPLING: choice
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RANDOM_FLIP: horizontal
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MODEL:
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ANCHOR_GENERATOR:
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ANGLES:
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- - -90
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- 0
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- 90
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ASPECT_RATIOS:
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- - 0.5
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- 1.0
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- 2.0
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NAME: DefaultAnchorGenerator
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OFFSET: 0.0
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SIZES:
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- - 32
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- - 64
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- - 128
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- - 256
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- - 512
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BACKBONE:
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FREEZE_AT: 2
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NAME: build_resnet_fpn_backbone
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DEVICE: cuda
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FPN:
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FUSE_TYPE: sum
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IN_FEATURES:
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- res2
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- res3
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- res4
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- res5
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NORM: ''
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OUT_CHANNELS: 256
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KEYPOINT_ON: false
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LOAD_PROPOSALS: false
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MASK_ON: true
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META_ARCHITECTURE: GeneralizedRCNN
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PANOPTIC_FPN:
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COMBINE:
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ENABLED: true
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INSTANCES_CONFIDENCE_THRESH: 0.5
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OVERLAP_THRESH: 0.5
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STUFF_AREA_LIMIT: 4096
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INSTANCE_LOSS_WEIGHT: 1.0
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PIXEL_MEAN:
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- 103.53
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- 116.28
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- 123.675
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PIXEL_STD:
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- 1.0
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- 1.0
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- 1.0
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PROPOSAL_GENERATOR:
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MIN_SIZE: 0
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NAME: RPN
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RESNETS:
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DEFORM_MODULATED: false
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DEFORM_NUM_GROUPS: 1
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DEFORM_ON_PER_STAGE:
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- false
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- false
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- false
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- false
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DEPTH: 101
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NORM: FrozenBN
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NUM_GROUPS: 1
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OUT_FEATURES:
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- res2
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- res3
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- res4
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- res5
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RES2_OUT_CHANNELS: 256
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RES5_DILATION: 1
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STEM_OUT_CHANNELS: 64
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STRIDE_IN_1X1: true
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WIDTH_PER_GROUP: 64
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RETINANET:
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BBOX_REG_LOSS_TYPE: smooth_l1
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BBOX_REG_WEIGHTS: &id002
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- 1.0
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- 1.0
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- 1.0
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- 1.0
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FOCAL_LOSS_ALPHA: 0.25
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FOCAL_LOSS_GAMMA: 2.0
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IN_FEATURES:
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- p3
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- p4
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- p5
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- p6
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- p7
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IOU_LABELS:
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- 0
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- -1
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- 1
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IOU_THRESHOLDS:
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- 0.4
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- 0.5
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NMS_THRESH_TEST: 0.5
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NORM: ''
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NUM_CLASSES: 80
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NUM_CONVS: 4
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PRIOR_PROB: 0.01
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SCORE_THRESH_TEST: 0.05
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SMOOTH_L1_LOSS_BETA: 0.1
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TOPK_CANDIDATES_TEST: 1000
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ROI_BOX_CASCADE_HEAD:
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BBOX_REG_WEIGHTS:
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- &id001
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- 10.0
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- 10.0
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- 5.0
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- 5.0
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- - 20.0
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152 |
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- 20.0
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153 |
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- 10.0
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- 10.0
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- - 30.0
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156 |
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- 30.0
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157 |
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- 15.0
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- 15.0
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159 |
+
IOUS:
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- 0.5
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- 0.6
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- 0.7
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+
ROI_BOX_HEAD:
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+
BBOX_REG_LOSS_TYPE: smooth_l1
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165 |
+
BBOX_REG_LOSS_WEIGHT: 1.0
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166 |
+
BBOX_REG_WEIGHTS: *id001
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167 |
+
CLS_AGNOSTIC_BBOX_REG: false
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+
CONV_DIM: 256
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+
FC_DIM: 1024
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+
FED_LOSS_FREQ_WEIGHT_POWER: 0.5
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171 |
+
FED_LOSS_NUM_CLASSES: 50
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172 |
+
NAME: FastRCNNConvFCHead
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173 |
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NORM: ''
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174 |
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NUM_CONV: 0
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175 |
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NUM_FC: 2
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176 |
+
POOLER_RESOLUTION: 7
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177 |
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POOLER_SAMPLING_RATIO: 0
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178 |
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POOLER_TYPE: ROIAlignV2
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179 |
+
SMOOTH_L1_BETA: 0.0
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180 |
+
TRAIN_ON_PRED_BOXES: false
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181 |
+
USE_FED_LOSS: false
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182 |
+
USE_SIGMOID_CE: false
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183 |
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ROI_HEADS:
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184 |
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BATCH_SIZE_PER_IMAGE: 512
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IN_FEATURES:
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186 |
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- p2
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- p3
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188 |
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- p4
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- p5
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+
IOU_LABELS:
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191 |
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- 0
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192 |
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- 1
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193 |
+
IOU_THRESHOLDS:
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194 |
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- 0.5
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195 |
+
NAME: StandardROIHeads
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196 |
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NMS_THRESH_TEST: 0.5
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197 |
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NUM_CLASSES: 81
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198 |
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POSITIVE_FRACTION: 0.25
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199 |
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PROPOSAL_APPEND_GT: true
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200 |
+
SCORE_THRESH_TEST: 0.7
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ROI_KEYPOINT_HEAD:
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202 |
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CONV_DIMS:
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- 512
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- 512
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- 512
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- 512
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207 |
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- 512
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- 512
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209 |
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- 512
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210 |
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- 512
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211 |
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LOSS_WEIGHT: 1.0
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212 |
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MIN_KEYPOINTS_PER_IMAGE: 1
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213 |
+
NAME: KRCNNConvDeconvUpsampleHead
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214 |
+
NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
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215 |
+
NUM_KEYPOINTS: 17
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216 |
+
POOLER_RESOLUTION: 14
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217 |
+
POOLER_SAMPLING_RATIO: 0
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218 |
+
POOLER_TYPE: ROIAlignV2
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219 |
+
ROI_MASK_HEAD:
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220 |
+
CLS_AGNOSTIC_MASK: false
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221 |
+
CONV_DIM: 256
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222 |
+
NAME: MaskRCNNConvUpsampleHead
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223 |
+
NORM: ''
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224 |
+
NUM_CONV: 4
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225 |
+
POOLER_RESOLUTION: 14
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226 |
+
POOLER_SAMPLING_RATIO: 0
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227 |
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POOLER_TYPE: ROIAlignV2
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228 |
+
RPN:
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229 |
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BATCH_SIZE_PER_IMAGE: 256
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230 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
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231 |
+
BBOX_REG_LOSS_WEIGHT: 1.0
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232 |
+
BBOX_REG_WEIGHTS: *id002
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233 |
+
BOUNDARY_THRESH: -1
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234 |
+
CONV_DIMS:
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235 |
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- -1
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+
HEAD_NAME: StandardRPNHead
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237 |
+
IN_FEATURES:
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238 |
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- p2
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239 |
+
- p3
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240 |
+
- p4
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241 |
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- p5
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242 |
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- p6
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243 |
+
IOU_LABELS:
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244 |
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- 0
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245 |
+
- -1
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246 |
+
- 1
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247 |
+
IOU_THRESHOLDS:
|
248 |
+
- 0.3
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249 |
+
- 0.7
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250 |
+
LOSS_WEIGHT: 1.0
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251 |
+
NMS_THRESH: 0.7
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252 |
+
POSITIVE_FRACTION: 0.5
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253 |
+
POST_NMS_TOPK_TEST: 1000
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254 |
+
POST_NMS_TOPK_TRAIN: 1000
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255 |
+
PRE_NMS_TOPK_TEST: 1000
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256 |
+
PRE_NMS_TOPK_TRAIN: 2000
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257 |
+
SMOOTH_L1_BETA: 0.0
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258 |
+
SEM_SEG_HEAD:
|
259 |
+
COMMON_STRIDE: 4
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260 |
+
CONVS_DIM: 128
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261 |
+
IGNORE_VALUE: 255
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262 |
+
IN_FEATURES:
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263 |
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- p2
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264 |
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- p3
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265 |
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- p4
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266 |
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- p5
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267 |
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LOSS_WEIGHT: 1.0
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268 |
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NAME: SemSegFPNHead
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269 |
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NORM: GN
|
270 |
+
NUM_CLASSES: 54
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271 |
+
WEIGHTS: /home/ubuntu/ssd/building_out_0311_10000/model_final.pth
|
272 |
+
OUTPUT_DIR: /home/ubuntu/ssd/building_out_0311_10000
|
273 |
+
SEED: -1
|
274 |
+
SOLVER:
|
275 |
+
AMP:
|
276 |
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ENABLED: false
|
277 |
+
BASE_LR: 0.00025
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278 |
+
BASE_LR_END: 0.0
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279 |
+
BIAS_LR_FACTOR: 1.0
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280 |
+
CHECKPOINT_PERIOD: 5000
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281 |
+
CLIP_GRADIENTS:
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282 |
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CLIP_TYPE: value
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283 |
+
CLIP_VALUE: 1.0
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284 |
+
ENABLED: false
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285 |
+
NORM_TYPE: 2.0
|
286 |
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GAMMA: 0.1
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287 |
+
IMS_PER_BATCH: 8
|
288 |
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LR_SCHEDULER_NAME: WarmupMultiStepLR
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289 |
+
MAX_ITER: 10000
|
290 |
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MOMENTUM: 0.9
|
291 |
+
NESTEROV: false
|
292 |
+
NUM_DECAYS: 3
|
293 |
+
REFERENCE_WORLD_SIZE: 0
|
294 |
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RESCALE_INTERVAL: false
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295 |
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STEPS: []
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296 |
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WARMUP_FACTOR: 0.001
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297 |
+
WARMUP_ITERS: 1000
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298 |
+
WARMUP_METHOD: linear
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299 |
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WEIGHT_DECAY: 0.0001
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300 |
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WEIGHT_DECAY_BIAS: null
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301 |
+
WEIGHT_DECAY_NORM: 0.0
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302 |
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TEST:
|
303 |
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AUG:
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304 |
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ENABLED: false
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305 |
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FLIP: true
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306 |
+
MAX_SIZE: 4000
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+
MIN_SIZES:
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- 400
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- 500
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- 600
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- 700
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- 800
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- 900
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- 1000
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- 1100
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- 1200
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+
DETECTIONS_PER_IMAGE: 100
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318 |
+
EVAL_PERIOD: 0
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319 |
+
EXPECTED_RESULTS: []
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320 |
+
KEYPOINT_OKS_SIGMAS: []
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321 |
+
PRECISE_BN:
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322 |
+
ENABLED: false
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323 |
+
NUM_ITER: 200
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324 |
+
VERSION: 2
|
325 |
+
VIS_PERIOD: 0
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