# Evaluation configuration for merged dual-ROI results.
# This keeps single-ROI configs unchanged and enables merged evaluation only
# when roi_gt.rois + model.input_size_by_roi are provided together.

dataset:
  det_path: "/data1/dongying/Mono3d/G1M3/cases_regular/model_20260317"
  gt_path: "/data1/dongying/Mono3d/G1M3/Testdata_0129_alignment"
  path_depth: 1
  det_format: "json"
  gt_format: "json"

image:
  width: 1920
  height: 1080

model:
  input_size_by_roi:
    roi0: 768
    roi1: 768
  min_box_size_at_input_scale: 8

performance:
  num_workers: 32

roi_gt:
  enabled: true
  calib_root: "/data1/dongying/Mono3d/G1M3/Testdata_0129_alignment"
  rois:
    roi0:
      roi_config: [1920, 960]
      roi_bottom_offset: 80
      roi_right_offset: 0
      roi_use_true_vp_x: false
    roi1:
      roi_config: [768, 352]
      roi_bottom_offset: 0
      roi_right_offset: 0
      roi_use_true_vp_x: true

classes:
  3d_classes: [0, 1, 2, 3, 4, 5, 6, 7, 8]  # vehicle, bus, truck, tanker, unknown, pedestrian, bicycle, motorcyclist, tricycle
  2d_classes: [9, 10, 11, 12]               # traffic_sign, wheel, plate, face
  class_names:
    0: "vehicle"
    1: "bus"
    2: "truck"
    3: "tanker"
    4: "unknown"
    5: "pedestrian"
    6: "bicycle"
    7: "motorcyclist"
    8: "tricycle"
    9: "traffic_sign"
    10: "wheel"
    11: "plate"
    12: "face"

matching:
  iou_threshold: 0.5

metrics_2d:
  enabled: true
  conf_threshold: 0.4
  ap_method: "voc2010"
  distance_ranges:
    - [0, 30]
    - [30, 60]
    - [60, 100]
    - [100, 999]
  lateral_roi: [-15, 15]

metrics_3d:
  enabled: true
  coordinate_system: "ego"
  heading_tolerance: "both"
  distance_ranges:
    - [0, 10]
    - [10, 20]
    - [20, 30]
    - [30, 40]
    - [40, 50]
    - [50, 60]
    - [60, 70]
    - [70, 80]
    - [80, 90]
    - [90, 100]
    - [100, 999]
  lateral_distance_ranges:
    - [-50, -40]
    - [-40, -30]
    - [-30, -20]
    - [-20, -10]
    - [-10, 0]
    - [0, 10]
    - [10, 20]
    - [20, 30]
    - [30, 40]
    - [40, 50]

output:
  save_path: "eval_results_multiprocess/yolov5s_merged/{timestamp}"
  formats: ["json", "txt"]
  print_details: true
  per_case_reports: true