Regarding tables and accuracy

[PriyanshuPandeyNA]

Checklist

• I have searched related issues but cannot get the expected help.
• I have read related documents and don't know what to do.

Describe the question you meet

I want to know the detailed information of my result which is teacher, which is student, what are their accuracy why it is so low I am doing custom distillation with my own trained checkpoint.

Post related information

2024/04/12 11:01:31 - mmengine - INFO - Saving checkpoint at 20000 iterations
2024/04/12 11:01:37 - mmengine - INFO - Iter(val) [ 50/100] eta: 0:00:04 time: 0.0857 data_time: 0.0086 memory: 3270
2024/04/12 11:01:42 - mmengine - INFO - Iter(val) [100/100] eta: 0:00:00 time: 0.0849 data_time: 0.0082 memory: 3270
2024/04/12 11:01:42 - mmengine - INFO - per class results:
2024/04/12 11:01:42 - mmengine - INFO -
+-----------------------------+-------+-------+
| Class | IoU | Acc |
+-----------------------------+-------+-------+
| unlabeled | 23.11 | 39.98 |
| flat-road | 79.3 | 95.47 |
| flat-sidewalk | 62.4 | 69.98 |
| flat-crosswalk | 2.66 | 2.95 |
| flat-cyclinglane | 6.99 | 7.3 |
| flat-parkingdriveway | nan | nan |
| flat-railtrack | 0.0 | 0.0 |
| flat-curb | 0.0 | 0.0 |
| human-person | 0.0 | 0.0 |
| human-rider | 54.81 | 86.09 |
| vehicle-car | 0.0 | 0.0 |
| vehicle-truck | 0.0 | 0.0 |
| vehicle-bus | nan | nan |
| vehicle-tramtrain | 0.0 | 0.0 |
| vehicle-motorcycle | 0.0 | 0.0 |
| vehicle-bicycle | 0.0 | 0.0 |
| vehicle-caravan | 0.0 | 0.0 |
| vehicle-cartrailer | 46.91 | 70.54 |
| construction-building | 0.0 | 0.0 |
| construction-door | 10.06 | 11.1 |
| construction-wall | 0.0 | 0.0 |
| construction-fenceguardrail | nan | nan |
| construction-bridge | nan | nan |
| construction-tunnel | 0.0 | 0.0 |
| construction-stairs | 0.29 | 0.3 |
| object-pole | 0.0 | 0.0 |
| object-trafficsign | 0.0 | 0.0 |
| object-trafficlight | 66.07 | 91.2 |
| nature-vegetation | 79.67 | 86.51 |
| nature-terrain | 47.6 | 60.6 |
| sky | 0.0 | 0.0 |
| void-ground | 0.0 | 0.0 |
| void-dynamic | 0.0 | 0.0 |
| void-static | 0.0 | 0.0 |
| void-unclear | nan | nan |
+-----------------------------+-------+-------+
2024/04/12 11:01:51 - mmengine - INFO - Iter(val) [ 50/100] eta: 0:00:18 time: 0.1843 data_time: 0.0085 memory: 3270
2024/04/12 11:02:00 - mmengine - INFO - Iter(val) [100/100] eta: 0:00:00 time: 0.1843 data_time: 0.0081 memory: 3270
2024/04/12 11:02:00 - mmengine - INFO - per class results:
2024/04/12 11:02:00 - mmengine - INFO -
+-----------------------------+------+------+
| Class | IoU | Acc |
+-----------------------------+------+------+
| unlabeled | 0.34 | 0.36 |
| flat-road | 0.0 | 0.0 |
| flat-sidewalk | 0.0 | 0.0 |
| flat-crosswalk | 0.0 | 0.0 |
| flat-cyclinglane | 0.0 | 0.0 |
| flat-parkingdriveway | nan | nan |
| flat-railtrack | 0.0 | 0.0 |
| flat-curb | 0.0 | 0.0 |
| human-person | 0.0 | 0.0 |
| human-rider | 0.0 | 0.0 |
| vehicle-car | 0.23 | 3.04 |
| vehicle-truck | 0.0 | 0.0 |
| vehicle-bus | nan | nan |
| vehicle-tramtrain | 0.0 | 0.0 |
| vehicle-motorcycle | 0.0 | 0.0 |
| vehicle-bicycle | 0.0 | 0.0 |
| vehicle-caravan | 0.03 | 0.84 |
| vehicle-cartrailer | 0.0 | 0.0 |
| construction-building | 0.0 | 0.0 |
| construction-door | 0.38 | 2.23 |
| construction-wall | 0.02 | 0.02 |
| construction-fenceguardrail | nan | nan |
| construction-bridge | nan | nan |
| construction-tunnel | 0.0 | 0.0 |
| construction-stairs | 4.81 | 5.05 |
| object-pole | 0.0 | 0.0 |
| object-trafficsign | 0.0 | 0.0 |
| object-trafficlight | 0.0 | 0.0 |
| nature-vegetation | 0.0 | 0.0 |
| nature-terrain | 0.0 | 0.0 |
| sky | 0.0 | 0.0 |
| void-ground | 0.0 | 0.0 |
| void-dynamic | 0.0 | 0.0 |
| void-static | 0.0 | 1.35 |
| void-unclear | 0.0 | nan |
+-----------------------------+------+------+
2024/04/12 11:02:00 - mmengine - INFO - Iter(val) [100/100] aAcc: 75.1100 mIoU: 16.0000 mAcc: 20.7300 teacher.aAcc: 0.1000 teacher.mIoU: 0.1900 teacher.mAcc: 0.4300 data_time: 0.0106 time: 0.1858