| ========================== Arguments ========================== | |
| dataset: /tmp/codalab/tmp9okiGc/run/input/ref | |
| predictions: /tmp/codalab/tmp9okiGc/run/input/res | |
| datacfg: /tmp/codalab/tmp9okiGc/run/program/semantic-kitti.yaml | |
| split: test | |
| output: /tmp/codalab/tmp9okiGc/run/output | |
| =============================================================== | |
| [IOU EVAL] IGNORE: [] | |
| [IOU EVAL] INCLUDE: [ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19] | |
| Evaluating: 10% 20% 30% 40% 50% 60% 70% 80% 90% Done 🎉. | |
| ========================== RESULTS ========================== | |
| Validation set: | |
| IoU avg 0.161 | |
| IoU class 1 [car] = 0.253 | |
| IoU class 2 [bicycle] = 0.020 | |
| IoU class 3 [motorcycle] = 0.034 | |
| IoU class 4 [truck] = 0.061 | |
| IoU class 5 [other-vehicle] = 0.072 | |
| IoU class 6 [person] = 0.023 | |
| IoU class 7 [bicyclist] = 0.029 | |
| IoU class 8 [motorcyclist] = 0.016 | |
| IoU class 9 [road] = 0.589 | |
| IoU class 10 [parking] = 0.302 | |
| IoU class 11 [sidewalk] = 0.326 | |
| IoU class 12 [other-ground] = 0.111 | |
| IoU class 13 [building] = 0.274 | |
| IoU class 14 [fence] = 0.188 | |
| IoU class 15 [vegetation] = 0.269 | |
| IoU class 16 [trunk] = 0.093 | |
| IoU class 17 [terrain] = 0.270 | |
| IoU class 18 [pole] = 0.068 | |
| IoU class 19 [traffic-sign] = 0.069 | |
| Precision = 63.26 | |
| Recall = 60.15 | |
| IoU Cmpltn = 44.58 | |
| mIoU SSC = 16.15 | |