Closed PengboLi1998 closed 2 years ago
Hello,I want to know which .py can generate the following log information? I have been looking for a long time,but I have not found anything related.Thank you for your reply
+---------+---------+---------+---------+---------+ | classes | AP_0.25 | AR_0.25 | AP_0.50 | AR_0.50 | +---------+---------+---------+---------+---------+ | chair | 0.2800 | 0.2800 | 0.2400 | 0.2400 | +---------+---------+---------+---------+---------+ | Overall | 0.2800 | 0.2800 | 0.2400 | 0.2400 | +---------+---------+---------+---------+---------+ 2022-06-01 15:01:57,371 - mmdet - INFO - Exp name: fcaf3d_s3dis-3d-5class.py 2022-06-01 15:01:57,371 - mmdet - INFO - Epoch(val) [8][8] chair_AP_0.25: 0.2800, mAP_0.25: 0.2800, chair_rec_0.25: 0.2800, mAR_0.25: 0.2800, chair_AP_0.50: 0.2400, mAP_0.50: 0.2400, chair_rec_0.50: 0.2400, mAR_0.50: 0.2400 2022-06-01 15:02:14,503 - mmdet - INFO - Epoch [9][50/72] lr: 1.000e-04, eta: 0:01:02, time: 0.343, data_time: 0.060, memory: 1532, loss_centerness: 0.4974, loss_bbox: 0.3062, loss_cls: 0.1228, loss: 0.9264, grad_norm: 4.4644 2022-06-01 15:02:20,639 - mmdet - INFO - Saving checkpoint at 9 epochs
Hi, This table is printed here.
filaPro
commented
2 years ago
Hello,I want to know which .py can generate the following log information? I have been looking for a long time,but I have not found anything related.Thank you for your reply
+---------+---------+---------+---------+---------+ | classes | AP_0.25 | AR_0.25 | AP_0.50 | AR_0.50 | +---------+---------+---------+---------+---------+ | chair | 0.2800 | 0.2800 | 0.2400 | 0.2400 | +---------+---------+---------+---------+---------+ | Overall | 0.2800 | 0.2800 | 0.2400 | 0.2400 | +---------+---------+---------+---------+---------+ 2022-06-01 15:01:57,371 - mmdet - INFO - Exp name: fcaf3d_s3dis-3d-5class.py 2022-06-01 15:01:57,371 - mmdet - INFO - Epoch(val) [8][8] chair_AP_0.25: 0.2800, mAP_0.25: 0.2800, chair_rec_0.25: 0.2800, mAR_0.25: 0.2800, chair_AP_0.50: 0.2400, mAP_0.50: 0.2400, chair_rec_0.50: 0.2400, mAR_0.50: 0.2400 2022-06-01 15:02:14,503 - mmdet - INFO - Epoch [9][50/72] lr: 1.000e-04, eta: 0:01:02, time: 0.343, data_time: 0.060, memory: 1532, loss_centerness: 0.4974, loss_bbox: 0.3062, loss_cls: 0.1228, loss: 0.9264, grad_norm: 4.4644 2022-06-01 15:02:20,639 - mmdet - INFO - Saving checkpoint at 9 epochs