| MODEL: | |
| META_ARCHITECTURE: "RetinaNet" | |
| WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" | |
| BACKBONE: | |
| NAME: "build_retinanet_resnet_fpn_dyhead_backbone" | |
| RESNETS: | |
| DEPTH: 50 | |
| OUT_FEATURES: ["res3", "res4", "res5"] | |
| FPN: | |
| IN_FEATURES: ["res3", "res4", "res5"] | |
| DYHEAD: | |
| NUM_CONVS: 6 | |
| CHANNELS: 256 | |
| ANCHOR_GENERATOR: | |
| SIZES: !!python/object/apply:eval ["[[x, x * 2**(1.0/3), x * 2**(2.0/3) ] for x in [32, 64, 128, 256, 512 ]]"] | |
| RETINANET: | |
| IOU_THRESHOLDS: [0.4, 0.5] | |
| IOU_LABELS: [0, -1, 1] | |
| SMOOTH_L1_LOSS_BETA: 0.0 | |
| DATASETS: | |
| TRAIN: ("coco_2017_train",) | |
| TEST: ("coco_2017_val",) | |
| SOLVER: | |
| IMS_PER_BATCH: 16 | |
| BASE_LR: 0.01 | |
| STEPS: (60000, 80000) | |
| MAX_ITER: 90000 | |
| VERSION: 2 | |