| { |
| "schema": "wheat-exp.run-config", |
| "schema_version": "1.0.0", |
| "experiment": "joint-root-area-poc", |
| "run_id": "0003-point18-joint-area-poc", |
| "seed": 1001, |
| "physical_gpu": 5, |
| "logical_device": "cuda:0", |
| "image_id": "day2/tiles_png_1001/tile_1001_0_0.png", |
| "image_width": 3797, |
| "image_height": 3943, |
| "root_count": 209, |
| "polygon_prediction_count": 401, |
| "polygon_array_count": 457, |
| "root_xml": "point_id18_annotations.xml", |
| "raw_image": "tile_1001_0_0_raw.png", |
| "polygon_source": "test_tile_1001_0_0.json", |
| "derived_polygon_labelme": "tile_1001_0_0_pseudo_area_labelme.json", |
| "backbone": "facebook/dinov3-vitb16-pretrain-lvd1689m", |
| "freeze_backbone": true, |
| "patch_size": 512, |
| "stride": 512, |
| "patch_count": 64, |
| "train_patch_count": 32, |
| "validation_patch_count": 32, |
| "split": "row-major edge-push coordinates; first 32 train, last 32 validation", |
| "epochs": 200, |
| "batch_size": 2, |
| "physical_microbatch_size": 1, |
| "gradient_accumulation_steps": 2, |
| "precision": "CUDA autocast float16; GradScaler; losses accumulated as float32 where PyTorch requires", |
| "decoder_activation_checkpointing": true, |
| "learning_rate": 0.0001, |
| "weight_decay": 0.0001, |
| "density_alpha": 0.5, |
| "classification_positive_weight": 10.0, |
| "classification_sigma": 3.0, |
| "use_area": true, |
| "area_lambda": 0.15, |
| "classification_probability_threshold": 0.5, |
| "peak_min_distance": 8, |
| "match_tolerance_px": 15.0, |
| "preprocessing": "RGB; pixels with all channels >=250 filled black; ImageNet normalization", |
| "inference_patch_size": 512, |
| "inference_stride": 512, |
| "unseen_image": "/mnt/hdb/chenyizi/sam3-fewshot/data/tile_1020_test/tile_1020_0_0.png" |
| } |
|
|
