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yolov26_3d/eval_tools/configs/eval_config_yolov5s_cncap-alignment-merge.yaml
2026-06-24 09:35:46 +08:00

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# 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