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MODEL:
META_ARCHITECTURE: "CustomRCNN"
RPN:
PRE_NMS_TOPK_TEST: 6000
POST_NMS_TOPK_TEST: 1000
ROI_HEADS:
NAME: "CustomRes5ROIHeads"
WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
RESNETS:
DEPTH: 50
ROI_BOX_HEAD:
CLS_AGNOSTIC_BBOX_REG: True
USE_SIGMOID_CE: True
USE_ZEROSHOT_CLS: True
ZEROSHOT_WEIGHT_PATH: 'datasets/metadata/coco_clip_a+cname.npy'
IGNORE_ZERO_CATS: True
CAT_FREQ_PATH: 'datasets/coco/zero-shot/instances_train2017_seen_2_oriorder_cat_info.json'
DATASETS:
TRAIN: ("coco_zeroshot_train_oriorder",)
TEST: ("coco_generalized_zeroshot_val",)
SOLVER:
IMS_PER_BATCH: 16
BASE_LR: 0.02
STEPS: (60000, 80000)
MAX_ITER: 90000
CHECKPOINT_PERIOD: 1000000000
INPUT:
MIN_SIZE_TRAIN: (800,)
VERSION: 2
OUTPUT_DIR: output/Detic-COCO/auto
FP16: True |