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fast-reid/projects/FastClas/configs/base-clas.yaml

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update fastreid V1.0
2021-01-18 11:36:38 +08:00
MODEL:
META_ARCHITECTURE: Baseline
BACKBONE:
NAME: build_resnet_backbone
update fastreid v1.2 Summary: 1. refactor dataloader and heads 2. bugfix in fastattr, fastclas, fastface and partialreid 3. partial-fc supported in fastface
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DEPTH: 18x
update fastreid V1.0
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NORM: BN
LAST_STRIDE: 2
update fastreid v1.2 Summary: 1. refactor dataloader and heads 2. bugfix in fastattr, fastclas, fastface and partialreid 3. partial-fc supported in fastface
2021-04-02 21:33:13 +08:00
FEAT_DIM: 512
update fastreid V1.0
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PRETRAIN: True
HEADS:
support classification in fastreid (#443) Summary: support classification and refactor build_dataloader which can support explicit parameters passing
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NAME: ClasHead
update fastreid V1.0
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WITH_BNNECK: False
EMBEDDING_DIM: 0
support classification in fastreid (#443) Summary: support classification and refactor build_dataloader which can support explicit parameters passing
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POOL_LAYER: FastGlobalAvgPool
CLS_LAYER: Linear
NUM_CLASSES: 2
update fastreid V1.0
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LOSSES:
NAME: ("CrossEntropyLoss",)
CE:
EPSILON: 0.1
SCALE: 1.
INPUT:
update fastreid v1.2 Summary: 1. refactor dataloader and heads 2. bugfix in fastattr, fastclas, fastface and partialreid 3. partial-fc supported in fastface
2021-04-02 21:33:13 +08:00
SIZE_TRAIN: [0,] # no need for resize when training
SIZE_TEST: [256,]
bugfix for attribute project (#450) Summary: refactor sample weight in attribute recognition; change all options to False in defaults.py and modify yaml files
2021-03-31 17:07:19 +08:00
support classification in fastreid (#443) Summary: support classification and refactor build_dataloader which can support explicit parameters passing
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CROP:
ENABLED: True
update fastreid v1.2 Summary: 1. refactor dataloader and heads 2. bugfix in fastattr, fastclas, fastface and partialreid 3. partial-fc supported in fastface
2021-04-02 21:33:13 +08:00
SIZE: [224,]
SCALE: [0.08, 1]
RATIO: [0.75, 1.333333333]
bugfix for attribute project (#450) Summary: refactor sample weight in attribute recognition; change all options to False in defaults.py and modify yaml files
2021-03-31 17:07:19 +08:00
support classification in fastreid (#443) Summary: support classification and refactor build_dataloader which can support explicit parameters passing
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FLIP:
ENABLED: True
update fastreid V1.0
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DATALOADER:
support classification in fastreid (#443) Summary: support classification and refactor build_dataloader which can support explicit parameters passing
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SAMPLER_TRAIN: TrainingSampler
update fastreid V1.0
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NUM_WORKERS: 8
SOLVER:
MAX_EPOCH: 100
support classification in fastreid (#443) Summary: support classification and refactor build_dataloader which can support explicit parameters passing
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AMP:
ENABLED: True
update fastreid V1.0
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OPT: SGD
SCHED: CosineAnnealingLR
update fastreid v1.2 Summary: 1. refactor dataloader and heads 2. bugfix in fastattr, fastclas, fastface and partialreid 3. partial-fc supported in fastface
2021-04-02 21:33:13 +08:00
BASE_LR: 0.001
MOMENTUM: 0.9
NESTEROV: False
update fastreid V1.0
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BIAS_LR_FACTOR: 1.
WEIGHT_DECAY: 0.0005
WEIGHT_DECAY_BIAS: 0.
feat: Add contiguous parameters support Support contiguous parameters to train faster. It can split parameters into different contiguous groups by freeze_layer, lr and weight decay.
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IMS_PER_BATCH: 16
update fastreid V1.0
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ETA_MIN_LR: 0.00003
WARMUP_FACTOR: 0.1
update fastreid v1.2 Summary: 1. refactor dataloader and heads 2. bugfix in fastattr, fastclas, fastface and partialreid 3. partial-fc supported in fastface
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WARMUP_ITERS: 100
update fastreid V1.0
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CHECKPOINT_PERIOD: 10
TEST:
EVAL_PERIOD: 10
IMS_PER_BATCH: 256
DATASETS:
NAMES: ("Hymenoptera",)
TESTS: ("Hymenoptera",)
update fastreid v1.2 Summary: 1. refactor dataloader and heads 2. bugfix in fastattr, fastclas, fastface and partialreid 3. partial-fc supported in fastface
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OUTPUT_DIR: projects/FastClas/logs/r18_demo