| SYSTEM: |
| NUM_GPUS: 1 |
| NUM_CPUS: 1 |
| MODEL: |
| ARCHITECTURE: unet_plus_3d |
| BLOCK_TYPE: residual_se |
| INPUT_SIZE: [17, 225, 225] |
| OUTPUT_SIZE: [17, 225, 225] |
| IN_PLANES: 1 |
| NORM_MODE: sync_bn |
| FILTERS: [32, 64, 96, 128, 160] |
| DATASET: |
| IMAGE_NAME: ["im_train.json"] |
| LABEL_NAME: ["mito_train.json"] |
| INPUT_PATH: datasets/MitoEM_R/ |
| OUTPUT_PATH: outputs/MitoEM_R/ |
| PAD_SIZE: [4, 64, 64] |
| DO_CHUNK_TITLE: 0 |
| DATA_CHUNK_NUM: [4, 8, 8] |
| DATA_CHUNK_ITER: 10000 |
| SOLVER: |
| LR_SCHEDULER_NAME: WarmupCosineLR |
| BASE_LR: 0.04 |
| ITERATION_STEP: 1 |
| ITERATION_SAVE: 5000 |
| ITERATION_TOTAL: 150000 |
| SAMPLES_PER_BATCH: 2 |
| INFERENCE: |
| INPUT_SIZE: [17, 257, 257] |
| OUTPUT_SIZE: [17, 257, 257] |
| IMAGE_NAME: /n/holylfs05/LABS/pfister_lab/Lab/coxfs01/pfister_lab2/Lab/donglai/eng/db/eva/2000_73728-310272.h5 |
| OUTPUT_PATH: outputs/MitoEM_R/test/ |
| OUTPUT_NAME: result |
| PAD_SIZE: [4, 64, 64] |
| AUG_MODE: mean |
| AUG_NUM: 4 |
| STRIDE: [8, 128, 128] |
| SAMPLES_PER_BATCH: 8 |
|
|
