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Runtime error
Runtime error
| MODEL: | |
| WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl" | |
| RESNETS: | |
| DEPTH: 101 | |
| META_ARCHITECTURE: "RetinaNet" | |
| BACKBONE: | |
| NAME: "build_retinanet_resnet_fpn_backbone" | |
| RESNETS: | |
| OUT_FEATURES: ["res3", "res4", "res5"] | |
| 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 ]]"] | |
| FPN: | |
| IN_FEATURES: ["res3", "res4", "res5"] | |
| RETINANET: | |
| IOU_THRESHOLDS: [0.4, 0.5] | |
| IOU_LABELS: [0, -1, 1] | |
| SMOOTH_L1_LOSS_BETA: 0.0 | |
| ROI_HEADS: | |
| NUM_CLASSES: 20 | |
| DATASETS: | |
| TRAIN: ("fathomnet_train",) | |
| TEST: ("fathomnet_val",) | |
| SOLVER: | |
| IMS_PER_BATCH: 4 | |
| BASE_LR: 0.001 # Note that RetinaNet uses a different default learning rate | |
| LR_SCHEDULER_NAME: WarmupMultiStepLR | |
| STEPS: (108000, 216000, 324000) | |
| MAX_ITER: 432000 | |
| WARMUP_FACTOR: 0.001 | |
| WARMUP_ITERS: 5000 | |
| WARMUP_METHOD: linear | |
| GAMMA: 0.1 | |
| INPUT: | |
| MIN_SIZE_TRAIN: (640, 720, 800) | |
| MAX_SIZE_TRAIN: 1422 | |
| MIN_SIZE_TEST: 720 | |
| MAX_SIZE_TEST: 1280 | |
| VERSION: 2 | |
| TEST: | |
| AUG: | |
| MIN_SIZES: (640, 720, 800) | |
| MAX_SIZE: 1422 | |
| DETECTIONS_PER_IMAGE: 300 | |