aerial-segmentation-model-selection

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aerial-segmentation-model-selection / tree_model_weights /treev0_cfg.yml

xwl0809

Rename tree_model_weights/tree_cfg.yml to tree_model_weights/treev0_cfg.yml

f579ffc 6 months ago

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	CUDNN_BENCHMARK: false
	DATALOADER:
	ASPECT_RATIO_GROUPING: true
	FILTER_EMPTY_ANNOTATIONS: true
	NUM_WORKERS: 2
	REPEAT_THRESHOLD: 0.0
	SAMPLER_TRAIN: TrainingSampler
	DATASETS:
	PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
	PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
	PROPOSAL_FILES_TEST: []
	PROPOSAL_FILES_TRAIN: []
	TEST:
	- urban-trees-fdokv_test
	TRAIN:
	- urban-trees-fdokv_train
	GLOBAL:
	HACK: 1.0
	INPUT:
	CROP:
	ENABLED: false
	SIZE:
	- 0.9
	- 0.9
	TYPE: relative_range
	FORMAT: BGR
	MASK_FORMAT: polygon
	MAX_SIZE_TEST: 1333
	MAX_SIZE_TRAIN: 1333
	MIN_SIZE_TEST: 800
	MIN_SIZE_TRAIN:
	- 640
	- 672
	- 704
	- 736
	- 768
	- 800
	MIN_SIZE_TRAIN_SAMPLING: choice
	RANDOM_FLIP: horizontal
	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_resnet_fpn_backbone
	DEVICE: cuda
	FPN:
	FUSE_TYPE: sum
	IN_FEATURES:
	- res2
	- res3
	- res4
	- res5
	NORM: ''
	OUT_CHANNELS: 256
	KEYPOINT_ON: false
	LOAD_PROPOSALS: false
	MASK_ON: true
	META_ARCHITECTURE: GeneralizedRCNN
	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:
	- 103.53
	- 116.28
	- 123.675
	PIXEL_STD:
	- 1.0
	- 1.0
	- 1.0
	PROPOSAL_GENERATOR:
	MIN_SIZE: 0
	NAME: RPN
	RESNETS:
	DEFORM_MODULATED: false
	DEFORM_NUM_GROUPS: 1
	DEFORM_ON_PER_STAGE:
	- false
	- false
	- false
	- false
	DEPTH: 101
	NORM: FrozenBN
	NUM_GROUPS: 1
	OUT_FEATURES:
	- res2
	- res3
	- res4
	- res5
	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:
	- 0.5
	- 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_HEADS:
	BATCH_SIZE_PER_IMAGE: 512
	IN_FEATURES:
	- p2
	- p3
	- p4
	- p5
	IOU_LABELS:
	- 0
	- 1
	IOU_THRESHOLDS:
	- 0.5
	NAME: StandardROIHeads
	NMS_THRESH_TEST: 0.5
	NUM_CLASSES: 2
	POSITIVE_FRACTION: 0.25
	PROPOSAL_APPEND_GT: true
	SCORE_THRESH_TEST: 0.25
	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: 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:
	- p2
	- p3
	- p4
	- p5
	- p6
	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: 1000
	PRE_NMS_TOPK_TEST: 1000
	PRE_NMS_TOPK_TRAIN: 2000
	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
	WEIGHTS: ./output/model_final.pth
	OUTPUT_DIR: ./output
	SEED: -1
	SOLVER:
	AMP:
	ENABLED: false
	BASE_LR: 0.00025
	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: 2
	LR_SCHEDULER_NAME: WarmupMultiStepLR
	MAX_ITER: 3000
	MOMENTUM: 0.9
	NESTEROV: false
	NUM_DECAYS: 3
	REFERENCE_WORLD_SIZE: 0
	RESCALE_INTERVAL: false
	STEPS: []
	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: 100
	EVAL_PERIOD: 0
	EXPECTED_RESULTS: []
	KEYPOINT_OKS_SIGMAS: []
	PRECISE_BN:
	ENABLED: false
	NUM_ITER: 200
	VERSION: 2
	VIS_PERIOD: 0