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2024-02-16-10-18-56

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  1. model/trained_model/config.yaml +334 -0
model/trained_model/config.yaml ADDED
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+ CUDNN_BENCHMARK: false
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+ DATALOADER:
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+ ASPECT_RATIO_GROUPING: true
4
+ FILTER_EMPTY_ANNOTATIONS: true
5
+ NUM_WORKERS: 4
6
+ REPEAT_THRESHOLD: 0.0
7
+ SAMPLER_TRAIN: TrainingSampler
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+ DATASETS:
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+ PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
10
+ PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
11
+ PROPOSAL_FILES_TEST: []
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+ PROPOSAL_FILES_TRAIN: []
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+ TEST:
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+ - DocLayNet-val
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+ TRAIN:
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+ - DocLayNet-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: false
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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: 50
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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:
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+ - 1.0
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+ - 1.0
119
+ - 1.0
120
+ - 1.0
121
+ 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
125
+ - p4
126
+ - p5
127
+ - p6
128
+ - p7
129
+ IOU_LABELS:
130
+ - 0
131
+ - -1
132
+ - 1
133
+ IOU_THRESHOLDS:
134
+ - 0.4
135
+ - 0.5
136
+ NMS_THRESH_TEST: 0.5
137
+ NORM: ''
138
+ NUM_CLASSES: 80
139
+ NUM_CONVS: 4
140
+ PRIOR_PROB: 0.01
141
+ SCORE_THRESH_TEST: 0.05
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+ SMOOTH_L1_LOSS_BETA: 0.1
143
+ TOPK_CANDIDATES_TEST: 1000
144
+ ROI_BOX_CASCADE_HEAD:
145
+ BBOX_REG_WEIGHTS:
146
+ - - 10.0
147
+ - 10.0
148
+ - 5.0
149
+ - 5.0
150
+ - - 20.0
151
+ - 20.0
152
+ - 10.0
153
+ - 10.0
154
+ - - 30.0
155
+ - 30.0
156
+ - 15.0
157
+ - 15.0
158
+ IOUS:
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+ - 0.5
160
+ - 0.6
161
+ - 0.7
162
+ ROI_BOX_HEAD:
163
+ BBOX_REG_LOSS_TYPE: smooth_l1
164
+ BBOX_REG_LOSS_WEIGHT: 1.0
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+ BBOX_REG_WEIGHTS:
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+ - 10.0
167
+ - 10.0
168
+ - 5.0
169
+ - 5.0
170
+ 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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+ FED_LOSS_NUM_CLASSES: 50
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+ NAME: FastRCNNConvFCHead
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+ NORM: ''
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+ NUM_CONV: 0
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+ NUM_FC: 2
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+ POOLER_RESOLUTION: 7
180
+ POOLER_SAMPLING_RATIO: 0
181
+ POOLER_TYPE: ROIAlignV2
182
+ SMOOTH_L1_BETA: 0.0
183
+ TRAIN_ON_PRED_BOXES: false
184
+ USE_FED_LOSS: false
185
+ USE_SIGMOID_CE: false
186
+ ROI_HEADS:
187
+ BATCH_SIZE_PER_IMAGE: 512
188
+ IN_FEATURES:
189
+ - p2
190
+ - p3
191
+ - p4
192
+ - p5
193
+ IOU_LABELS:
194
+ - 0
195
+ - 1
196
+ IOU_THRESHOLDS:
197
+ - 0.5
198
+ NAME: StandardROIHeads
199
+ NMS_THRESH_TEST: 0.5
200
+ NUM_CLASSES: 11
201
+ POSITIVE_FRACTION: 0.25
202
+ PROPOSAL_APPEND_GT: true
203
+ SCORE_THRESH_TEST: 0.05
204
+ ROI_KEYPOINT_HEAD:
205
+ CONV_DIMS:
206
+ - 512
207
+ - 512
208
+ - 512
209
+ - 512
210
+ - 512
211
+ - 512
212
+ - 512
213
+ - 512
214
+ LOSS_WEIGHT: 1.0
215
+ MIN_KEYPOINTS_PER_IMAGE: 1
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+ NAME: KRCNNConvDeconvUpsampleHead
217
+ NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
218
+ NUM_KEYPOINTS: 17
219
+ POOLER_RESOLUTION: 14
220
+ POOLER_SAMPLING_RATIO: 0
221
+ POOLER_TYPE: ROIAlignV2
222
+ ROI_MASK_HEAD:
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+ CLS_AGNOSTIC_MASK: false
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+ CONV_DIM: 256
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+ NAME: MaskRCNNConvUpsampleHead
226
+ NORM: ''
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+ NUM_CONV: 4
228
+ POOLER_RESOLUTION: 14
229
+ POOLER_SAMPLING_RATIO: 0
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+ POOLER_TYPE: ROIAlignV2
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+ RPN:
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+ BATCH_SIZE_PER_IMAGE: 256
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+ BBOX_REG_LOSS_TYPE: smooth_l1
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+ BBOX_REG_LOSS_WEIGHT: 1.0
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+ BBOX_REG_WEIGHTS:
236
+ - 1.0
237
+ - 1.0
238
+ - 1.0
239
+ - 1.0
240
+ BOUNDARY_THRESH: -1
241
+ CONV_DIMS:
242
+ - -1
243
+ HEAD_NAME: StandardRPNHead
244
+ IN_FEATURES:
245
+ - p2
246
+ - p3
247
+ - p4
248
+ - p5
249
+ - p6
250
+ IOU_LABELS:
251
+ - 0
252
+ - -1
253
+ - 1
254
+ IOU_THRESHOLDS:
255
+ - 0.3
256
+ - 0.7
257
+ LOSS_WEIGHT: 1.0
258
+ NMS_THRESH: 0.7
259
+ POSITIVE_FRACTION: 0.5
260
+ POST_NMS_TOPK_TEST: 1000
261
+ POST_NMS_TOPK_TRAIN: 1000
262
+ PRE_NMS_TOPK_TEST: 1000
263
+ PRE_NMS_TOPK_TRAIN: 2000
264
+ SMOOTH_L1_BETA: 0.0
265
+ SEM_SEG_HEAD:
266
+ COMMON_STRIDE: 4
267
+ CONVS_DIM: 128
268
+ IGNORE_VALUE: 255
269
+ IN_FEATURES:
270
+ - p2
271
+ - p3
272
+ - p4
273
+ - p5
274
+ LOSS_WEIGHT: 1.0
275
+ NAME: SemSegFPNHead
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+ NORM: GN
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+ NUM_CLASSES: 54
278
+ WEIGHTS: detectron2://ImageNetPretrained/MSRA/R-50.pkl
279
+ OUTPUT_DIR: drive/MyDrive/Colab Notebooks/detectron2/DocLayNet_core/output
280
+ SEED: -1
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+ SOLVER:
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+ AMP:
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+ ENABLED: false
284
+ BASE_LR: 0.01
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+ BASE_LR_END: 0.0
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+ BIAS_LR_FACTOR: 1.0
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+ CHECKPOINT_PERIOD: 300
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+ CLIP_GRADIENTS:
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+ CLIP_TYPE: value
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+ CLIP_VALUE: 1.0
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+ ENABLED: false
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+ NORM_TYPE: 2.0
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+ GAMMA: 0.1
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+ IMS_PER_BATCH: 4
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+ LR_SCHEDULER_NAME: WarmupMultiStepLR
296
+ MAX_ITER: 80000
297
+ MOMENTUM: 0.9
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+ NESTEROV: false
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+ NUM_DECAYS: 3
300
+ REFERENCE_WORLD_SIZE: 0
301
+ RESCALE_INTERVAL: false
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+ STEPS:
303
+ - 210000
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+ - 250000
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+ WARMUP_FACTOR: 0.001
306
+ WARMUP_ITERS: 1000
307
+ WARMUP_METHOD: linear
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+ WEIGHT_DECAY: 0.0001
309
+ WEIGHT_DECAY_BIAS: 0.0001
310
+ WEIGHT_DECAY_NORM: 0.0
311
+ TEST:
312
+ AUG:
313
+ ENABLED: false
314
+ FLIP: true
315
+ MAX_SIZE: 4000
316
+ MIN_SIZES:
317
+ - 400
318
+ - 500
319
+ - 600
320
+ - 700
321
+ - 800
322
+ - 900
323
+ - 1000
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+ - 1100
325
+ - 1200
326
+ DETECTIONS_PER_IMAGE: 100
327
+ EVAL_PERIOD: 0
328
+ EXPECTED_RESULTS: []
329
+ KEYPOINT_OKS_SIGMAS: []
330
+ PRECISE_BN:
331
+ ENABLED: false
332
+ NUM_ITER: 200
333
+ VERSION: 2
334
+ VIS_PERIOD: 0