Open kelo020304 opened 2 weeks ago
You have ~6000 iters for 1 evaluation on nuscenes
You have ~6000 iters for 1 evaluation on nuscenes
Thank you for your reply, its so fast
You have ~6000 iters for 1 evaluation on nuscenes
10/14 16:44:32 - mmengine - INFO - tensor([ 1228626, 74016, 1153292, 7616559, 664560, 110560, 1049072, 221655, 888602, 3011142, 55378036, 2442130, 18847516, 25688440, 58281020, 61861948, 240793520], device='cuda:0', dtype=torch.int32) 10/14 16:44:32 - mmengine - INFO - tensor([ 2, 13, 6781, 5406, 10, 0, 1, 551, 4, 200, 77, 0, 98393, 184, 21288, 9014, 3983527], device='cuda:0', dtype=torch.int32) 10/14 16:44:32 - mmengine - INFO - tensor([ 18693, 907830, 27355038, 4062965, 83608, 3554, 6565, 7302669, 22779, 424973, 13621, 628, 34204064, 88684, 1832049, 432605, 76762576], device='cuda:0', dtype=torch.int32) 10/14 16:44:32 - mmengine - INFO - mIoU: 0.020197512613506774, iou2: 1.2703684568405151 This is my eval result, and I think these metrics is not correct , what problem here
If it is the official checkpoint, indeed they are not correct. You should have the one reported in the README.
Probably wrong evaluation command.
If it is the official checkpoint, indeed they are not correct. You should have the one reported in the README
yes, I downloaded nuscenes_gs25600_solid from readme and do this : python eval.py --py-config config/nuscenes_gs25600_solid.py --work-dir out/nuscenes_gs25600_solid/ --resume-from out/nuscenes_gs25600_solid/state_dict.pth And then I get results mentioned above, and I'm confused if I need to comment : load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth'
But if I do not comment this , the evaluation can not run successfully
How long will evaluation take? On my 4090 it takes more than 20minutes but it still not finish and I comment # load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' in nuscenes_gs25600_solid.py , and will these operation cause some bugs?