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sankin97 / LoGoNet

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precision on kitti test set #2

Open Z-Lee-corder opened 7 months ago

Z-Lee-corder commented 7 months ago

Thank you for sharing this project！I have a issue to ask you: I try to train LoGoNet with all KITTI training data for 80 epochs and submit results to KITTI test set. But the precision of car on moderate level is only 82%, I want to know how to achieve 85.06% as paper said?

Is the model configuration on kitti test set different from that on kitti validation set?

If so, what changes need to be made?

microchinajie commented 7 months ago

Hello, have you solved this problem? I also meet this problem. That is ,when I train model on 3712 training split and obtain performance on 3769 validation split based on one model configuration. While when submitting to KITTI test server, the model configuration useful for validation does not work if I use 100% train +val split.

kikiki-cloud commented 2 months ago

Hello, I want to ask, why did my kitti data set report the following errors during training. Traceback (most recent call last): File "detection/tools/train.py", line 204, in main() File "detection/tools/train.py", line 153, in main last_epoch=last_epoch, optim_cfg=cfg.OPTIMIZATION File "/home/linux/guorong/qinhao/LoGoNet/utils/al3d_utils/optimize_utils/init.py", line 52, in build_scheduler optimizer, total_steps, last_step, optim_cfg.LR, list(optim_cfg.MOMS), optim_cfg.DIV_FACTOR, optim_cfg.PCT_START File "/home/linux/guorong/qinhao/LoGoNet/utils/al3d_utils/optimize_utils/learning_schedules_fastai.py", line 85, in init super().init(fai_optimizer, total_step, last_step, lr_phases, mom_phases) File "/home/linux/guorong/qinhao/LoGoNet/utils/al3d_utils/optimize_utils/learning_schedules_fastai.py", line 45, in init self.step() File "/home/linux/guorong/qinhao/LoGoNet/utils/al3d_utils/optimize_utils/learning_schedules_fastai.py", line 58, in step self.update_lr() File "/home/linux/guorong/qinhao/LoGoNet/utils/al3d_utils/optimize_utils/learning_schedules_fastai.py", line 51, in update_lr self.optimizer.lr = func((step - start) / (end - start)) ZeroDivisionError: division by zero ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 3213650) of binary: /home/linux/anaconda3/envs/logonet/bin/python Traceback (most recent call last): File "/home/linux/anaconda3/envs/logonet/lib/python3.7/runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "/home/linux/anaconda3/envs/logonet/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/linux/anaconda3/envs/logonet/lib/python3.7/site-packages/torch/distributed/launch.py", line 193, in main() File "/home/linux/anaconda3/envs/logonet/lib/python3.7/site-packages/torch/distributed/launch.py", line 189, in main launch(args) File "/home/linux/anaconda3/envs/logonet/lib/python3.7/site-packages/torch/distributed/launch.py", line 174, in launch run(args) File "/home/linux/anaconda3/envs/logonet/lib/python3.7/site-packages/torch/distributed/run.py", line 713, in run )(*cmd_args) File "/home/linux/anaconda3/envs/logonet/lib/python3.7/site-packages/torch/distributed/launcher/api.py", line 131, in call return launch_agent(self._config, self._entrypoint, list(args)) File "/home/linux/anaconda3/envs/logonet/lib/python3.7/site-packages/torch/distributed/launcher/api.py", line 261, in launch_agent failures=result.failures, torch.distributed.elastic.multiprocessing.errors.ChildFailedError: