| MODEL: | |
| META_ARCHITECTURE: "ATSS" | |
| WEIGHTS: "swin_tiny_patch4_window7_224_d2.pth" | |
| PIXEL_MEAN: [123.675, 116.28, 103.53] | |
| PIXEL_STD: [58.395, 57.12, 57.375] | |
| BACKBONE: | |
| NAME: "build_retinanet_swin_fpn_dyhead_backbone" | |
| SWINT: | |
| OUT_FEATURES: ["stage3", "stage4", "stage5"] | |
| FPN: | |
| IN_FEATURES: ["stage3", "stage4", "stage5"] | |
| DYHEAD: | |
| NUM_CONVS: 6 | |
| CHANNELS: 256 | |
| ANCHOR_GENERATOR: | |
| SIZES: !!python/object/apply:eval ["[[x*2,] for x in [32, 64, 128, 256, 512 ]]"] | |
| ASPECT_RATIOS: [1.0,] | |
| OFFSET: 0.5 | |
| ATSS: | |
| NUM_CONVS: 0 | |
| DATASETS: | |
| TRAIN: ("coco_2017_train",) | |
| TEST: ("coco_2017_val",) | |
| SOLVER: | |
| IMS_PER_BATCH: 32 | |
| BASE_LR: 0.0001 | |
| WEIGHT_DECAY: 0.05 | |
| STEPS: (60000, 80000) | |
| MAX_ITER: 90000 | |
| OPTIMIZER: "ADAMW" | |
| INPUT: | |
| FORMAT: "RGB" | |
| MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800) | |
| VERSION: 2 | |