Owen-Liuyuxuan
commented
3 years ago From my perspective, the accuracy at epoch 10/20 has already been smaller than what I have expected.
There are some problems now for training with multi-GPU though. So the result may not be the best. You should try to retrain with only one GPU first ~
hi, Thanks for your aswesome job! And I am confused about the my eval results on kitti val datasets. I trained YOLO3D_example with 8 2080TI， and the val results shows as fellows epoch 10: Car AP(Average Precision)@0.70, 0.70, 0.70: bbox AP:96.80, 83.32, 63.83 bev AP:15.41, 11.21, 8.66 3d AP:9.61, 7.17, 5.31 aos AP:93.90, 78.78, 60.36 Car AP(Average Precision)@0.70, 0.50, 0.50: bbox AP:96.80, 83.32, 63.83 bev AP:47.02, 33.31, 26.05 3d AP:39.81, 28.13, 21.42 aos AP:93.90, 78.78, 60.36 / finish testing after training epoch 9 **/
epoch 20: Car AP(Average Precision)@0.70, 0.70, 0.70: bbox AP:96.81, 85.85, 66.29 bev AP:21.13, 15.52, 12.39 3d AP:14.05, 10.35, 7.51 aos AP:94.29, 81.57, 62.97 Car AP(Average Precision)@0.70, 0.50, 0.50: bbox AP:96.81, 85.85, 66.29 bev AP:58.15, 41.16, 31.43 3d AP:51.35, 37.29, 28.19 aos AP:94.29, 81.57, 62.97 / finish testing after training epoch 19 **/
epoch 30: Car AP(Average Precision)@0.70, 0.70, 0.70: bbox AP:98.05, 84.85, 67.62 bev AP:12.92, 10.52, 7.81 3d AP:7.76, 6.14, 4.58 aos AP:95.21, 80.50, 63.99 Car AP(Average Precision)@0.70, 0.50, 0.50: bbox AP:98.05, 84.85, 67.62 bev AP:52.92, 38.00, 29.05 3d AP:45.49, 32.40, 25.20 aos AP:95.21, 80.50, 63.99 / finish testing after training epoch 29 **/
It seems that epoth_20 is much better than epoch_30 in 3D detection. Could you tell me the reason. many thaks