Open Zhimin-C opened 3 years ago
Hi Zhimin, You can either filter your ground truth and prediction before calling the metrics or modifying the metrics code to filter.
Hi Zhimin, You can either filter your ground truth and prediction before calling the metrics or modifying the metrics code to filter.
I read the compute_detection_metric_main.cc and find that // RANGE_TYPEVEHICLE[0, 30)_LEVEL_2: [mAP 0.0784186] [mAPH 0.0709105] // RANGE_TYPEVEHICLE[30, 50)_LEVEL_2: [mAP 0.133955] [mAPH 0.103888] // RANGE_TYPEVEHICLE[50, +inf)_LEVEL_2: [mAP 0.0522752] [mAPH 0.0460845] // RANGE_TYPEPEDESTRIAN[0, 30)_LEVEL_2: [mAP 0.0458333] [mAPH 2.20291e-09] // RANGE_TYPEPEDESTRIAN[30, 50)_LEVEL_2: [mAP 0.110526] [mAPH 0.0512746] // RANGE_TYPEPEDESTRIAN[50, +inf)_LEVEL_2: [mAP 0.15] [mAPH 0.074034] // RANGE_TYPESIGN[0, 30)_LEVEL_2: [mAP 0.128993] [mAPH 0.100171] // RANGE_TYPESIGN[30, 50)_LEVEL_2: [mAP 0.0354839] [mAPH 0.0171309] // RANGE_TYPESIGN[50, +inf)_LEVEL_2: [mAP 0.0164904] [mAPH 0.01548] // RANGE_TYPECYCLIST[0, 30)_LEVEL_2: [mAP 0] [mAPH 0] // RANGE_TYPECYCLIST[30, 50)_LEVEL_2: [mAP 0] [mAPH 0] // RANGE_TYPECYCLIST[50, +inf)_LEVEL_2: [mAP 0] [mAPH 0]
Does it mean that it only counts the front view object or the [0, 30) here mean radius? If so, may you give me some suggestions about where to change the range? I am not very familiar with C++. Thanks.
Zhimin Chen
Hi,
I want eval my prediction res just in the front view (0 to 80 in the x-axis, -40 to 40 in the y-axis). How do I set it in waymo open dataset evaluation?
Zhimin Chen